User/chris/ev f1 framework (#93)

* feat: EV simulation framework with F1 Monte Carlo simulator

- Add EV snapshot tables (participant_ev_snapshots, team_ev_snapshots) and simulation_status column on sports seasons
- Add ev-snapshot model with upsert and history query functions
- Add simulator framework: types, bracket/F1/golf simulators, registry
- F1 simulator: vig-removed ICM weighted draw (pre-season) + race-by-race Monte Carlo from current standings (in-season); per-position column normalization to prevent floating-point EV drift
- Add admin simulate route and Run Simulation button on sports season page
- Rework futures-odds admin page to save odds then run simulation in one action
- Remove recalculate-probabilities route (superseded by simulate route)
- Remove EV trend chart panel and associated DB queries

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* feat: map simulators to sports via simulatorType field

Adds a `simulator_type` enum column to the `sports` table so each sport
can be assigned a specific simulation algorithm rather than deriving it
from the sports season's scoring pattern.

- Add `simulatorTypeEnum` (f1_standings, indycar_standings,
  golf_qualifying_points, playoff_bracket) + `simulatorType` nullable
  column on `sports` table; migration 0037
- Rewrite simulator registry to key off `SimulatorType` instead of
  `ScoringPattern`; indycar_standings shares F1Simulator for now
- `findSportsSeasonById` now returns `SportsSeasonWithSport` so callers
  have typed access to `sport.simulatorType`
- Simulate and futures-odds actions read `sport.simulatorType`; guard
  fires before setting `simulationStatus: running`
- Admin sport edit page gains a Simulator Type dropdown

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

---------

Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>

app/models/ev-snapshot.ts

@@ -0,0 +1,256 @@
+/**
+ * Model for EV (Expected Value) Snapshots
+ *
+ * Historical record of participant EVs and team projected points over time.
+ * One snapshot per participant (or team) per sport season per day — upsert on conflict.
+ * Snapshots are taken directly from simulation output to avoid partial-capture issues.
+ */
+
+import { database } from "~/database/context";
+import { participantEvSnapshots, teamEvSnapshots } from "~/database/schema";
+import { eq, and, asc } from "drizzle-orm";
+
+// ─── Participant EV Snapshots ─────────────────────────────────────────────────
+
+export interface ParticipantEvSnapshotInput {
+  participantId: string;
+  sportsSeasonId: string;
+  snapshotDate: string; // YYYY-MM-DD
+  probFirst: number;
+  probSecond: number;
+  probThird: number;
+  probFourth: number;
+  probFifth: number;
+  probSixth: number;
+  probSeventh: number;
+  probEighth: number;
+  calculatedEV: number;
+  source: string;
+}
+
+export interface ParticipantEvHistoryPoint {
+  snapshotDate: string;
+  calculatedEV: number;
+  probFirst: number;
+}
+
+/**
+ * Upsert a single participant EV snapshot.
+ * If a snapshot already exists for this (participantId, sportsSeasonId, snapshotDate),
+ * it will be overwritten with the new values.
+ */
+export async function upsertParticipantEvSnapshot(
+  input: ParticipantEvSnapshotInput
+): Promise<void> {
+  const db = database();
+  const now = new Date();
+
+  await db
+    .insert(participantEvSnapshots)
+    .values({
+      participantId: input.participantId,
+      sportsSeasonId: input.sportsSeasonId,
+      snapshotDate: input.snapshotDate,
+      probFirst: input.probFirst.toString(),
+      probSecond: input.probSecond.toString(),
+      probThird: input.probThird.toString(),
+      probFourth: input.probFourth.toString(),
+      probFifth: input.probFifth.toString(),
+      probSixth: input.probSixth.toString(),
+      probSeventh: input.probSeventh.toString(),
+      probEighth: input.probEighth.toString(),
+      calculatedEV: input.calculatedEV.toString(),
+      source: input.source,
+      createdAt: now,
+      updatedAt: now,
+    })
+    .onConflictDoUpdate({
+      target: [
+        participantEvSnapshots.participantId,
+        participantEvSnapshots.sportsSeasonId,
+        participantEvSnapshots.snapshotDate,
+      ],
+      set: {
+        probFirst: input.probFirst.toString(),
+        probSecond: input.probSecond.toString(),
+        probThird: input.probThird.toString(),
+        probFourth: input.probFourth.toString(),
+        probFifth: input.probFifth.toString(),
+        probSixth: input.probSixth.toString(),
+        probSeventh: input.probSeventh.toString(),
+        probEighth: input.probEighth.toString(),
+        calculatedEV: input.calculatedEV.toString(),
+        source: input.source,
+        updatedAt: now,
+      },
+    });
+}
+
+/**
+ * Batch upsert participant EV snapshots within a single transaction.
+ * All snapshots succeed or all fail together.
+ */
+export async function batchUpsertParticipantEvSnapshots(
+  inputs: ParticipantEvSnapshotInput[]
+): Promise<void> {
+  if (inputs.length === 0) return;
+
+  const db = database();
+  const now = new Date();
+
+  await db.transaction(async (tx) => {
+    for (const input of inputs) {
+      await tx
+        .insert(participantEvSnapshots)
+        .values({
+          participantId: input.participantId,
+          sportsSeasonId: input.sportsSeasonId,
+          snapshotDate: input.snapshotDate,
+          probFirst: input.probFirst.toString(),
+          probSecond: input.probSecond.toString(),
+          probThird: input.probThird.toString(),
+          probFourth: input.probFourth.toString(),
+          probFifth: input.probFifth.toString(),
+          probSixth: input.probSixth.toString(),
+          probSeventh: input.probSeventh.toString(),
+          probEighth: input.probEighth.toString(),
+          calculatedEV: input.calculatedEV.toString(),
+          source: input.source,
+          createdAt: now,
+          updatedAt: now,
+        })
+        .onConflictDoUpdate({
+          target: [
+            participantEvSnapshots.participantId,
+            participantEvSnapshots.sportsSeasonId,
+            participantEvSnapshots.snapshotDate,
+          ],
+          set: {
+            probFirst: input.probFirst.toString(),
+            probSecond: input.probSecond.toString(),
+            probThird: input.probThird.toString(),
+            probFourth: input.probFourth.toString(),
+            probFifth: input.probFifth.toString(),
+            probSixth: input.probSixth.toString(),
+            probSeventh: input.probSeventh.toString(),
+            probEighth: input.probEighth.toString(),
+            calculatedEV: input.calculatedEV.toString(),
+            source: input.source,
+            updatedAt: now,
+          },
+        });
+    }
+  });
+}
+
+/**
+ * Get EV history for a single participant in a sport season, ordered oldest first.
+ * Used for EV trend charts.
+ */
+export async function getParticipantEvHistory(
+  participantId: string,
+  sportsSeasonId: string
+): Promise<ParticipantEvHistoryPoint[]> {
+  const db = database();
+
+  const rows = await db
+    .select({
+      snapshotDate: participantEvSnapshots.snapshotDate,
+      calculatedEV: participantEvSnapshots.calculatedEV,
+      probFirst: participantEvSnapshots.probFirst,
+    })
+    .from(participantEvSnapshots)
+    .where(
+      and(
+        eq(participantEvSnapshots.participantId, participantId),
+        eq(participantEvSnapshots.sportsSeasonId, sportsSeasonId)
+      )
+    )
+    .orderBy(asc(participantEvSnapshots.snapshotDate));
+
+  return rows.map((r) => ({
+    snapshotDate: r.snapshotDate,
+    calculatedEV: parseFloat(r.calculatedEV),
+    probFirst: parseFloat(r.probFirst),
+  }));
+}
+
+// ─── Team EV Snapshots ────────────────────────────────────────────────────────
+
+export interface TeamEvSnapshotInput {
+  teamId: string;
+  seasonId: string;
+  snapshotDate: string; // YYYY-MM-DD
+  projectedPoints: number;
+  actualPoints: number;
+}
+
+export interface TeamEvHistoryPoint {
+  snapshotDate: string;
+  projectedPoints: number;
+  actualPoints: number;
+}
+
+/**
+ * Upsert a team EV snapshot for a given day.
+ */
+export async function upsertTeamEvSnapshot(
+  input: TeamEvSnapshotInput
+): Promise<void> {
+  const db = database();
+  const now = new Date();
+
+  await db
+    .insert(teamEvSnapshots)
+    .values({
+      teamId: input.teamId,
+      seasonId: input.seasonId,
+      snapshotDate: input.snapshotDate,
+      projectedPoints: input.projectedPoints.toString(),
+      actualPoints: input.actualPoints.toString(),
+      createdAt: now,
+    })
+    .onConflictDoUpdate({
+      target: [
+        teamEvSnapshots.teamId,
+        teamEvSnapshots.seasonId,
+        teamEvSnapshots.snapshotDate,
+      ],
+      set: {
+        projectedPoints: input.projectedPoints.toString(),
+        actualPoints: input.actualPoints.toString(),
+      },
+    });
+}
+
+/**
+ * Get projected points history for a team in a fantasy season, ordered oldest first.
+ * Used for team trend charts.
+ */
+export async function getTeamEvHistory(
+  teamId: string,
+  seasonId: string
+): Promise<TeamEvHistoryPoint[]> {
+  const db = database();
+
+  const rows = await db
+    .select({
+      snapshotDate: teamEvSnapshots.snapshotDate,
+      projectedPoints: teamEvSnapshots.projectedPoints,
+      actualPoints: teamEvSnapshots.actualPoints,
+    })
+    .from(teamEvSnapshots)
+    .where(
+      and(
+        eq(teamEvSnapshots.teamId, teamId),
+        eq(teamEvSnapshots.seasonId, seasonId)
+      )
+    )
+    .orderBy(asc(teamEvSnapshots.snapshotDate));
+
+  return rows.map((r) => ({
+    snapshotDate: r.snapshotDate,
+    projectedPoints: parseFloat(r.projectedPoints),
+    actualPoints: parseFloat(r.actualPoints),
+  }));
+}

app/models/participant-expected-value.ts

@@ -103,7 +103,7 @@ export async function upsertParticipantEV(
         probEighth: probabilities.probEighth.toString(),
         expectedValue: expectedValue.toString(),
         source,
-        sourceOdds: sourceOdds ?? null,
+        ...(sourceOdds !== undefined ? { sourceOdds } : {}),
         calculatedAt: now,
         updatedAt: now,
       })
@@ -227,27 +227,139 @@ export async function deleteParticipantEV(
 }
 
 /**
- * Batch upsert multiple participant EVs
+ * Batch upsert multiple participant EVs within a single transaction.
- * Useful for updating all participants after generating probabilities
+ * All records succeed or all fail together.
  */
 export async function batchUpsertParticipantEVs(
   inputs: CreateProbabilityInput[]
 ): Promise<ParticipantEV[]> {
+  const db = database();
   const results: ParticipantEV[] = [];
 
-  // Process in batches to avoid overwhelming the database
+  await db.transaction(async (tx) => {
-  const batchSize = 50;
+    const now = new Date();
-  for (let i = 0; i < inputs.length; i += batchSize) {
+
-    const batch = inputs.slice(i, i + batchSize);
+    for (const input of inputs) {
-    const batchResults = await Promise.all(
+      const { participantId, sportsSeasonId, probabilities, scoringRules, source = "manual", sourceOdds } = input;
-      batch.map((input) => upsertParticipantEV(input))
+
-    );
+      const sum = Object.values(probabilities).reduce((a, b) => a + b, 0);
-    results.push(...batchResults);
+      if (sum > 1.01) {
-  }
+        throw new Error(
+          `Probabilities for participant ${participantId} cannot sum to more than 1.0. Current sum: ${sum.toFixed(4)}`
+        );
+      }
+
+      const expectedValue = calculateEV(probabilities, scoringRules);
+
+      const existing = await tx
+        .select({ id: participantExpectedValues.id })
+        .from(participantExpectedValues)
+        .where(
+          and(
+            eq(participantExpectedValues.participantId, participantId),
+            eq(participantExpectedValues.sportsSeasonId, sportsSeasonId)
+          )
+        )
+        .limit(1);
+
+      const baseValues = {
+        probFirst: probabilities.probFirst.toString(),
+        probSecond: probabilities.probSecond.toString(),
+        probThird: probabilities.probThird.toString(),
+        probFourth: probabilities.probFourth.toString(),
+        probFifth: probabilities.probFifth.toString(),
+        probSixth: probabilities.probSixth.toString(),
+        probSeventh: probabilities.probSeventh.toString(),
+        probEighth: probabilities.probEighth.toString(),
+        expectedValue: expectedValue.toString(),
+        source,
+        calculatedAt: now,
+        updatedAt: now,
+      };
+
+      let result: ParticipantEV;
+
+      if (existing.length > 0) {
+        const [updated] = await tx
+          .update(participantExpectedValues)
+          // Only overwrite sourceOdds if explicitly provided; preserve existing value otherwise
+          .set(sourceOdds !== undefined ? { ...baseValues, sourceOdds } : baseValues)
+          .where(eq(participantExpectedValues.id, existing[0].id))
+          .returning();
+        result = updated;
+      } else {
+        const [created] = await tx
+          .insert(participantExpectedValues)
+          .values({ participantId, sportsSeasonId, ...baseValues, sourceOdds: sourceOdds ?? null })
+          .returning();
+        result = created;
+      }
+
+      await tx
+        .update(participants)
+        .set({ expectedValue: expectedValue.toString(), updatedAt: now })
+        .where(eq(participants.id, participantId));
+
+      results.push(result);
+    }
+  });
 
   return results;
 }
 
+/**
+ * Save American odds for a batch of participants without touching probabilities or EV.
+ * Used by the futures-odds admin page to persist odds before running the full simulation.
+ */
+export async function batchSaveSourceOdds(
+  inputs: Array<{ participantId: string; sportsSeasonId: string; sourceOdds: number }>
+): Promise<void> {
+  const db = database();
+
+  await db.transaction(async (tx) => {
+    const now = new Date();
+
+    for (const { participantId, sportsSeasonId, sourceOdds } of inputs) {
+      const existing = await tx
+        .select({ id: participantExpectedValues.id })
+        .from(participantExpectedValues)
+        .where(
+          and(
+            eq(participantExpectedValues.participantId, participantId),
+            eq(participantExpectedValues.sportsSeasonId, sportsSeasonId)
+          )
+        )
+        .limit(1);
+
+      if (existing.length > 0) {
+        await tx
+          .update(participantExpectedValues)
+          .set({ sourceOdds, updatedAt: now })
+          .where(eq(participantExpectedValues.id, existing[0].id));
+      } else {
+        // Insert a stub record — probabilities/EV will be filled in by the simulator
+        await tx.insert(participantExpectedValues).values({
+          participantId,
+          sportsSeasonId,
+          probFirst: "0",
+          probSecond: "0",
+          probThird: "0",
+          probFourth: "0",
+          probFifth: "0",
+          probSixth: "0",
+          probSeventh: "0",
+          probEighth: "0",
+          expectedValue: "0",
+          source: "futures_odds",
+          sourceOdds,
+          calculatedAt: now,
+          updatedAt: now,
+        });
+      }
+    }
+  });
+}
+
 /**
  * Convert database record to ProbabilityDistribution
  */

app/models/sports-season.ts

@@ -4,6 +4,9 @@ import * as schema from "~/database/schema";
 
 export type SportsSeason = typeof schema.sportsSeasons.$inferSelect;
 export type NewSportsSeason = typeof schema.sportsSeasons.$inferInsert;
+export type SportsSeasonWithSport = SportsSeason & {
+  sport: typeof schema.sports.$inferSelect;
+};
 export type SportsSeasonStatus = "upcoming" | "active" | "completed";
 export type ScoringType = "playoffs" | "regular_season" | "majors";
 
@@ -16,14 +19,14 @@ export async function createSportsSeason(data: NewSportsSeason): Promise<SportsS
   return sportsSeason;
 }
 
-export async function findSportsSeasonById(id: string): Promise<SportsSeason | undefined> {
+export async function findSportsSeasonById(id: string): Promise<SportsSeasonWithSport | undefined> {
   const db = database();
   return await db.query.sportsSeasons.findFirst({
     where: eq(schema.sportsSeasons.id, id),
     with: {
       sport: true,
     },
-  });
+  }) as SportsSeasonWithSport | undefined;
 }
 
 export async function findSportsSeasonsBySportId(sportId: string): Promise<SportsSeason[]> {

app/routes.ts

@@ -81,14 +81,14 @@ export default [
       "sports-seasons/:id/futures-odds",
       "routes/admin.sports-seasons.$id.futures-odds.tsx"
     ),
-    route(
-      "sports-seasons/:id/recalculate-probabilities",
-      "routes/admin.sports-seasons.$id.recalculate-probabilities.tsx"
-    ),
     route(
       "sports-seasons/:id/standings",
       "routes/admin.sports-seasons.$id.standings.tsx"
     ),
+    route(
+      "sports-seasons/:id/simulate",
+      "routes/admin.sports-seasons.$id.simulate.tsx"
+    ),
     route("participants", "routes/admin.participants.tsx"),
     route("templates", "routes/admin.templates.tsx"),
     route("templates/new", "routes/admin.templates.new.tsx"),

app/routes/admin.sports-seasons.$id.expected-values.tsx

@@ -1,8 +1,7 @@
-import { Form, Link } from "react-router";
+import { Link } from "react-router";
 import type { Route } from "./+types/admin.sports-seasons.$id.expected-values";
-import { loader, action } from "./admin.sports-seasons.$id.expected-values.server";
+import { loader } from "./admin.sports-seasons.$id.expected-values.server";
 import { Button } from "~/components/ui/button";
-import { Input } from "~/components/ui/input";
 import {
   Card,
   CardContent,
@@ -18,17 +17,48 @@ import {
   TableHeader,
   TableRow,
 } from "~/components/ui/table";
-import { ArrowLeft, Save, Calculator } from "lucide-react";
+import { ArrowLeft, Calculator } from "lucide-react";
 
-export { loader, action };
+export { loader };
 
-export default function ExpectedValuesPage({ loaderData, actionData }: Route.ComponentProps) {
+const SCORING = [100, 70, 50, 40, 25, 25, 15, 15] as const;
+
+function evFromProbs(ev: {
+  probFirst: string; probSecond: string; probThird: string; probFourth: string;
+  probFifth: string; probSixth: string; probSeventh: string; probEighth: string;
+}): number {
+  return parseFloat(ev.probFirst) * SCORING[0]
+    + parseFloat(ev.probSecond) * SCORING[1]
+    + parseFloat(ev.probThird) * SCORING[2]
+    + parseFloat(ev.probFourth) * SCORING[3]
+    + parseFloat(ev.probFifth) * SCORING[4]
+    + parseFloat(ev.probSixth) * SCORING[5]
+    + parseFloat(ev.probSeventh) * SCORING[6]
+    + parseFloat(ev.probEighth) * SCORING[7];
+}
+
+function fmt(val: string | number) {
+  return (parseFloat(val as string) * 100).toFixed(1) + "%";
+}
+
+export default function ExpectedValuesPage({ loaderData }: Route.ComponentProps) {
   const { sportsSeason, participants, existingEVs } = loaderData;
 
-  const totalEV = Array.from(existingEVs.values()).reduce(
+  // Compute total and sort from stored prob columns, not stored expectedValue.
-    (sum, ev) => sum + parseFloat(ev.expectedValue),
+  // The simulator normalizes per-position column sums to exactly 1.0 (step 10),
-    0
+  // so the total EV should always equal the sum of scoring values (340).
-  );
+  // Sum only over participants shown in the table — excludes orphan EV records
+  // from prior simulation runs for participants no longer in this season.
+  const sorted = [...participants].sort((a, b) => {
+    const evA = existingEVs.has(a.id) ? evFromProbs(existingEVs.get(a.id)!) : 0;
+    const evB = existingEVs.has(b.id) ? evFromProbs(existingEVs.get(b.id)!) : 0;
+    return evB - evA;
+  });
+
+  const totalEV = sorted.reduce((sum, p) => {
+    const ev = existingEVs.get(p.id);
+    return ev ? sum + evFromProbs(ev) : sum;
+  }, 0);
 
   return (
     <div className="container mx-auto p-6 space-y-6">
@@ -48,154 +78,49 @@ export default function ExpectedValuesPage({ loaderData, actionData }: Route.Com
             Expected Values: {sportsSeason.sport.name} {sportsSeason.year}
           </CardTitle>
           <CardDescription>
-            Manage probability distributions and expected values for participants
+            Probability distributions from the last simulation run. Sorted by EV descending.
           </CardDescription>
         </CardHeader>
-        <CardContent className="space-y-6">
+        <CardContent>
-          {actionData?.error && (
+          {participants.length === 0 ? (
-            <div className="p-4 bg-destructive/10 border border-destructive/30 rounded-md text-destructive">
+            <p className="text-center text-muted-foreground py-8">
-              {actionData.error}
+              No participants found.
-            </div>
-          )}
-          {actionData?.success && (
-            <div className="p-4 bg-emerald-500/15 border border-emerald-500/30 rounded-md text-emerald-400">
-              All participants saved successfully!
-            </div>
-          )}
-
-          <div className="text-sm text-muted-foreground space-y-2">
-            <p><strong>Default Scoring Rules (for EV calculation):</strong></p>
-            <div className="grid grid-cols-4 gap-2">
-              <span>1st: 100 pts</span>
-              <span>2nd: 70 pts</span>
-              <span>3rd: 50 pts</span>
-              <span>4th: 40 pts</span>
-              <span>5th: 25 pts</span>
-              <span>6th: 25 pts</span>
-              <span>7th: 15 pts</span>
-              <span>8th: 15 pts</span>
-            </div>
-            <p className="text-xs text-muted-foreground italic">
-              Note: EVs will be recalculated with actual league scoring rules when used in fantasy leagues.
             </p>
-          </div>
+          ) : existingEVs.size === 0 ? (
-
+            <p className="text-center text-muted-foreground py-8">
-          <Form method="post">
+              No EV data yet. Run a simulation from the sports season page.
-
+            </p>
+          ) : (
             <Table>
               <TableHeader>
                 <TableRow>
                   <TableHead>Participant</TableHead>
-                  <TableHead className="text-center">1st %</TableHead>
+                  <TableHead className="text-center">1st</TableHead>
-                  <TableHead className="text-center">2nd %</TableHead>
+                  <TableHead className="text-center">2nd</TableHead>
-                  <TableHead className="text-center">3rd %</TableHead>
+                  <TableHead className="text-center">3rd</TableHead>
-                  <TableHead className="text-center">4th %</TableHead>
+                  <TableHead className="text-center">4th</TableHead>
-                  <TableHead className="text-center">5th %</TableHead>
+                  <TableHead className="text-center">5th</TableHead>
-                  <TableHead className="text-center">6th %</TableHead>
+                  <TableHead className="text-center">6th</TableHead>
-                  <TableHead className="text-center">7th %</TableHead>
+                  <TableHead className="text-center">7th</TableHead>
-                  <TableHead className="text-center">8th %</TableHead>
+                  <TableHead className="text-center">8th</TableHead>
                   <TableHead className="text-center">EV</TableHead>
                 </TableRow>
               </TableHeader>
               <TableBody>
-                {participants.map((participant: { id: string; name: string }) => {
+                {sorted.map((participant) => {
-                  const existingEV = existingEVs.get(participant.id);
+                  const ev = existingEVs.get(participant.id);
-                  const id = participant.id;
-
                   return (
-                    <TableRow key={id}>
+                    <TableRow key={participant.id}>
                       <TableCell className="font-medium">{participant.name}</TableCell>
-                      <TableCell>
+                      <TableCell className="text-center font-mono text-sm">{ev ? fmt(ev.probFirst) : "—"}</TableCell>
-                        <Input
+                      <TableCell className="text-center font-mono text-sm">{ev ? fmt(ev.probSecond) : "—"}</TableCell>
-                          type="number"
+                      <TableCell className="text-center font-mono text-sm">{ev ? fmt(ev.probThird) : "—"}</TableCell>
-                          name={`probFirst_${id}`}
+                      <TableCell className="text-center font-mono text-sm">{ev ? fmt(ev.probFourth) : "—"}</TableCell>
-                          defaultValue={existingEV ? (parseFloat(existingEV.probFirst) * 100).toFixed(2) : "0"}
+                      <TableCell className="text-center font-mono text-sm">{ev ? fmt(ev.probFifth) : "—"}</TableCell>
-                          step="0.01"
+                      <TableCell className="text-center font-mono text-sm">{ev ? fmt(ev.probSixth) : "—"}</TableCell>
-                          min="0"
+                      <TableCell className="text-center font-mono text-sm">{ev ? fmt(ev.probSeventh) : "—"}</TableCell>
-                          max="100"
+                      <TableCell className="text-center font-mono text-sm">{ev ? fmt(ev.probEighth) : "—"}</TableCell>
-                          className="w-20 text-center"
+                      <TableCell className="text-center font-semibold">{ev ? evFromProbs(ev).toFixed(2) : "—"}</TableCell>
-                        />
-                      </TableCell>
-                      <TableCell>
-                        <Input
-                          type="number"
-                          name={`probSecond_${id}`}
-                          defaultValue={existingEV ? (parseFloat(existingEV.probSecond) * 100).toFixed(2) : "0"}
-                          step="0.01"
-                          min="0"
-                          max="100"
-                          className="w-20 text-center"
-                        />
-                      </TableCell>
-                      <TableCell>
-                        <Input
-                          type="number"
-                          name={`probThird_${id}`}
-                          defaultValue={existingEV ? (parseFloat(existingEV.probThird) * 100).toFixed(2) : "0"}
-                          step="0.01"
-                          min="0"
-                          max="100"
-                          className="w-20 text-center"
-                        />
-                      </TableCell>
-                      <TableCell>
-                        <Input
-                          type="number"
-                          name={`probFourth_${id}`}
-                          defaultValue={existingEV ? (parseFloat(existingEV.probFourth) * 100).toFixed(2) : "0"}
-                          step="0.01"
-                          min="0"
-                          max="100"
-                          className="w-20 text-center"
-                        />
-                      </TableCell>
-                      <TableCell>
-                        <Input
-                          type="number"
-                          name={`probFifth_${id}`}
-                          defaultValue={existingEV ? (parseFloat(existingEV.probFifth) * 100).toFixed(2) : "0"}
-                          step="0.01"
-                          min="0"
-                          max="100"
-                          className="w-20 text-center"
-                        />
-                      </TableCell>
-                      <TableCell>
-                        <Input
-                          type="number"
-                          name={`probSixth_${id}`}
-                          defaultValue={existingEV ? (parseFloat(existingEV.probSixth) * 100).toFixed(2) : "0"}
-                          step="0.01"
-                          min="0"
-                          max="100"
-                          className="w-20 text-center"
-                        />
-                      </TableCell>
-                      <TableCell>
-                        <Input
-                          type="number"
-                          name={`probSeventh_${id}`}
-                          defaultValue={existingEV ? (parseFloat(existingEV.probSeventh) * 100).toFixed(2) : "0"}
-                          step="0.01"
-                          min="0"
-                          max="100"
-                          className="w-20 text-center"
-                        />
-                      </TableCell>
-                      <TableCell>
-                        <Input
-                          type="number"
-                          name={`probEighth_${id}`}
-                          defaultValue={existingEV ? (parseFloat(existingEV.probEighth) * 100).toFixed(2) : "0"}
-                          step="0.01"
-                          min="0"
-                          max="100"
-                          className="w-20 text-center"
-                        />
-                      </TableCell>
-                      <TableCell className="text-center font-semibold">
-                        {existingEV ? parseFloat(existingEV.expectedValue).toFixed(2) : "-"}
-                      </TableCell>
                     </TableRow>
                   );
                 })}
@@ -207,20 +132,7 @@ export default function ExpectedValuesPage({ loaderData, actionData }: Route.Com
                 )}
               </TableBody>
             </Table>
-
+          )}
-            {participants.length === 0 ? (
-              <p className="text-center text-muted-foreground py-8">
-                No participants found. Please add participants to this sports season first.
-              </p>
-            ) : (
-              <div className="flex justify-end pt-4">
-                <Button type="submit">
-                  <Save className="h-4 w-4 mr-2" />
-                  Save All
-                </Button>
-              </div>
-            )}
-          </Form>
         </CardContent>
       </Card>
     </div>

app/routes/admin.sports-seasons.$id.futures-odds.tsx

@@ -1,8 +1,11 @@
 import { Form, redirect, useLoaderData, useActionData, useNavigation } from 'react-router';
 import type { Route } from './+types/admin.sports-seasons.$id.futures-odds';
-import { findSportsSeasonById } from '~/models/sports-season';
+import { findSportsSeasonById, updateSportsSeason } from '~/models/sports-season';
 import { findParticipantsBySportsSeasonId } from '~/models/participant';
-import { getAllParticipantEVsForSeason } from '~/models/participant-expected-value';
+import { getAllParticipantEVsForSeason, batchSaveSourceOdds, batchUpsertParticipantEVs } from '~/models/participant-expected-value';
+import { batchUpsertParticipantEvSnapshots } from '~/models/ev-snapshot';
+import { getSimulator, type SimulatorType } from '~/services/simulations/registry';
+import { calculateEV } from '~/services/ev-calculator';
 import { Button } from '~/components/ui/button';
 import { Input } from '~/components/ui/input';
 import { Label } from '~/components/ui/label';
@@ -15,11 +18,6 @@ import {
   CardTitle,
 } from '~/components/ui/card';
 import { useState } from 'react';
-import {
-  calculateICMFromOdds,
-  icmResultToArray,
-} from '~/services/icm-calculator';
-import { upsertParticipantEV } from '~/models/participant-expected-value';
 import { Loader2, Info, CheckCircle2, AlertCircle } from 'lucide-react';
 
 export async function loader({ params }: Route.LoaderArgs) {
@@ -34,15 +32,15 @@ export async function loader({ params }: Route.LoaderArgs) {
   const participants = await findParticipantsBySportsSeasonId(sportsSeasonId);
   const existingEVs = await getAllParticipantEVsForSeason(sportsSeasonId);
 
-  // Create map of participant ID to existing odds (if source is futures_odds)
+  // Show any saved odds regardless of what simulation ran afterwards
   const existingOdds = new Map(
     existingEVs
-      .filter(ev => ev.source === 'futures_odds' && ev.sourceOdds !== null)
+      .filter(ev => ev.sourceOdds !== null)
       .map(ev => [ev.participantId, ev.sourceOdds])
   );
 
   return {
-    sportsSeason: sportsSeason as typeof sportsSeason & { sport: { id: string; name: string; type: string; slug: string } },
+    sportsSeason,
     participants,
     existingOdds,
   };
@@ -51,18 +49,11 @@ export async function loader({ params }: Route.LoaderArgs) {
 interface ActionData {
   success?: boolean;
   message?: string;
-  preview?: {
-    participantId: string;
-    participantName: string;
-    odds: number;
-    probabilities: number[];
-  }[];
 }
 
 export async function action({ request, params }: Route.ActionArgs) {
   const sportsSeasonId = params.id;
   const formData = await request.formData();
-  const intent = formData.get('intent') as string;
 
   const sportsSeason = await findSportsSeasonById(sportsSeasonId);
 
@@ -93,85 +84,80 @@ export async function action({ request, params }: Route.ActionArgs) {
     return { success: false, message: 'Please enter odds for at least one participant' };
   }
 
+  if (!sportsSeason.sport?.simulatorType) {
+    return { success: false, message: 'This sport has no simulator type configured. Set one on the sport in the admin panel.' };
+  }
+
+  if (sportsSeason.simulationStatus === 'running') {
+    return { success: false, message: 'A simulation is already running. Please wait.' };
+  }
+
+  const scoringRules = {
+    pointsFor1st: 100,
+    pointsFor2nd: 70,
+    pointsFor3rd: 50,
+    pointsFor4th: 40,
+    pointsFor5th: 25,
+    pointsFor6th: 25,
+    pointsFor7th: 15,
+    pointsFor8th: 15,
+  };
+
+  // Persist the odds first so the simulator can read them
+  await batchSaveSourceOdds(
+    futuresOdds.map(({ participantId, odds }) => ({ participantId, sportsSeasonId, sourceOdds: odds }))
+  );
+
+  await updateSportsSeason(sportsSeasonId, { simulationStatus: 'running' });
+
   try {
-    // Calculate ICM probabilities from odds
+    const simulator = getSimulator(sportsSeason.sport.simulatorType as SimulatorType);
-    const icmResults = calculateICMFromOdds(
+    const results = await simulator.simulate(sportsSeasonId);
-      futuresOdds.map(({ participantId, odds }) => ({ participantId, odds }))
+
+    if (results.length === 0) {
+      throw new Error('Simulation returned no results.');
+    }
+
+    await batchUpsertParticipantEVs(
+      results.map((r) => ({
+        participantId: r.participantId,
+        sportsSeasonId,
+        probabilities: r.probabilities,
+        scoringRules,
+        source: 'elo_simulation' as const,
+      }))
     );
 
-    if (intent === 'preview') {
+    const today = new Date().toISOString().slice(0, 10);
-      // Return preview data
+    await batchUpsertParticipantEvSnapshots(
-      const preview = futuresOdds.map(({ participantId, odds, name }) => {
+      results.map((r) => ({
-        const icmResult = icmResults.get(participantId)!;
+        participantId: r.participantId,
-        return {
+        sportsSeasonId,
-          participantId,
+        snapshotDate: today,
-          participantName: name,
+        probFirst: r.probabilities.probFirst,
-          odds,
+        probSecond: r.probabilities.probSecond,
-          probabilities: icmResultToArray(icmResult),
+        probThird: r.probabilities.probThird,
-        };
+        probFourth: r.probabilities.probFourth,
-      });
+        probFifth: r.probabilities.probFifth,
+        probSixth: r.probabilities.probSixth,
+        probSeventh: r.probabilities.probSeventh,
+        probEighth: r.probabilities.probEighth,
+        calculatedEV: calculateEV(r.probabilities, scoringRules),
+        source: r.source,
+      }))
+    );
 
-      return { success: true, preview };
+    await updateSportsSeason(sportsSeasonId, { simulationStatus: 'idle' });
-    }
-
-    if (intent === 'save') {
-      // Use default scoring rules (EVs will be recalculated per league)
-      const scoringRules = {
-        pointsFor1st: 100,
-        pointsFor2nd: 70,
-        pointsFor3rd: 50,
-        pointsFor4th: 40,
-        pointsFor5th: 25,
-        pointsFor6th: 25,
-        pointsFor7th: 15,
-        pointsFor8th: 15,
-      };
-
-      // Save probabilities from preview (passed through form)
-      // This ensures saved values match exactly what user saw in preview
-      for (const { participantId, odds } of futuresOdds) {
-        // Read probabilities from form data (preview results)
-        const probFirst = parseFloat(formData.get(`prob_first_${participantId}`) as string) || 0;
-        const probSecond = parseFloat(formData.get(`prob_second_${participantId}`) as string) || 0;
-        const probThird = parseFloat(formData.get(`prob_third_${participantId}`) as string) || 0;
-        const probFourth = parseFloat(formData.get(`prob_fourth_${participantId}`) as string) || 0;
-        const probFifth = parseFloat(formData.get(`prob_fifth_${participantId}`) as string) || 0;
-        const probSixth = parseFloat(formData.get(`prob_sixth_${participantId}`) as string) || 0;
-        const probSeventh = parseFloat(formData.get(`prob_seventh_${participantId}`) as string) || 0;
-        const probEighth = parseFloat(formData.get(`prob_eighth_${participantId}`) as string) || 0;
-
-        // Use upsertParticipantEV (not WithNormalization) because ICM probabilities
-        // are already correct - they sum to <1.0 for teams unlikely to finish top 8
-        await upsertParticipantEV({
-          participantId,
-          sportsSeasonId: sportsSeasonId,
-          probabilities: {
-            probFirst,
-            probSecond,
-            probThird,
-            probFourth,
-            probFifth,
-            probSixth,
-            probSeventh,
-            probEighth,
-          },
-          scoringRules,
-          source: 'futures_odds',
-          sourceOdds: odds,
-        });
-      }
-
-      return redirect(`/admin/sports-seasons/${sportsSeasonId}/expected-values`);
-    }
-
-    return { success: false, message: 'Invalid intent' };
   } catch (error) {
-    console.error('Error generating probabilities:', error);
+    await updateSportsSeason(sportsSeasonId, { simulationStatus: 'failed' });
+    console.error('Error running simulation:', error);
     return {
       success: false,
-      message: error instanceof Error ? error.message : 'Failed to generate probabilities',
+      message: error instanceof Error ? error.message : 'Simulation failed',
     };
   }
+
+  return redirect(`/admin/sports-seasons/${sportsSeasonId}/expected-values`);
 }
 
 function normalizeName(name: string): string {
@@ -204,18 +190,14 @@ export default function AdminSportsSeasonFuturesOdds() {
 
   function findParticipantMatch(inputName: string) {
     const normalizedInput = normalizeName(inputName);
-    // Pre-compute normalized names once for all three passes
     const normalized = participants.map(p => ({ p, n: normalizeName(p.name) }));
 
-    // Exact match
     const exact = normalized.find(({ n }) => n === normalizedInput);
     if (exact) return exact.p;
 
-    // Contains match (one contains the other)
     const contains = normalized.find(({ n }) => n.includes(normalizedInput) || normalizedInput.includes(n));
     if (contains) return contains.p;
 
-    // Word-overlap match (at least half the significant words overlap)
     const inputWords = normalizedInput.split(' ').filter(w => w.length > 2);
     const overlap = normalized.find(({ n }) => {
       const pWords = n.split(' ').filter(w => w.length > 2);
@@ -228,7 +210,6 @@ export default function AdminSportsSeasonFuturesOdds() {
 
   function parseBulkText() {
     const lines = bulkText.split('\n');
-    // Match lines that end with an American-style odds number (+/- then 2–6 digits)
     const oddsPattern = /^(.+?)\s+([+-]\d{2,6})\s*$/;
 
     const matched: Array<{ participantId: string; name: string; odds: number; inputName: string }> = [];
@@ -270,8 +251,6 @@ export default function AdminSportsSeasonFuturesOdds() {
   }
 
   const isSubmitting = navigation.state === 'submitting';
-  const isGenerating = isSubmitting && navigation.formData?.get('intent') === 'preview';
-  const isSaving = isSubmitting && navigation.formData?.get('intent') === 'save';
 
   return (
     <div className="container mx-auto py-8">
@@ -363,7 +342,7 @@ export default function AdminSportsSeasonFuturesOdds() {
               <CardTitle>Championship Futures Odds</CardTitle>
               <CardDescription>
                 Enter American odds (e.g., +550, -200) for each participant's championship probability.
-                Generates probabilities for all participants using ICM (Independent Chip Model).
+                Enter American odds, then run the ICM simulation to compute and save probability distributions.
               </CardDescription>
             </CardHeader>
             <CardContent>
@@ -403,18 +382,14 @@ export default function AdminSportsSeasonFuturesOdds() {
                   </div>
                 </div>
 
-                <div className="flex gap-2">
+                {actionData && !actionData.success && actionData.message && (
-                  <Button
+                  <div className="text-sm text-destructive">{actionData.message}</div>
-                    type="submit"
+                )}
-                    name="intent"
+
-                    value="preview"
+                <Button type="submit" disabled={isSubmitting}>
-                    variant="outline"
+                  {isSubmitting && <Loader2 className="mr-2 h-4 w-4 animate-spin" />}
-                    disabled={isSubmitting}
+                  {isSubmitting ? 'Running...' : 'Run Simulation'}
-                  >
+                </Button>
-                    {isGenerating && <Loader2 className="mr-2 h-4 w-4 animate-spin" />}
-                    Generate Preview
-                  </Button>
-                </div>
               </Form>
             </CardContent>
           </Card>
@@ -434,118 +409,6 @@ export default function AdminSportsSeasonFuturesOdds() {
             </CardContent>
           </Card>
         </div>
-
-        <div>
-          {actionData?.preview && (
-            <Card>
-              <CardHeader>
-                <CardTitle>ICM Results</CardTitle>
-                <CardDescription>
-                  Probability distributions calculated using Independent Chip Model
-                </CardDescription>
-              </CardHeader>
-              <CardContent>
-                <div className="space-y-4">
-                  <div className="overflow-x-auto">
-                    <table className="w-full text-sm">
-                      <thead>
-                        <tr className="border-b">
-                          <th className="text-left py-2">Team</th>
-                          <th className="text-right py-2">Odds</th>
-                          <th className="text-right py-2">P(1st)</th>
-                          <th className="text-right py-2">P(2nd)</th>
-                          <th className="text-right py-2">P(3rd)</th>
-                          <th className="text-right py-2">P(4th)</th>
-                          <th className="text-right py-2">P(5th)</th>
-                          <th className="text-right py-2">P(6th)</th>
-                          <th className="text-right py-2">P(7th)</th>
-                          <th className="text-right py-2">P(8th)</th>
-                        </tr>
-                      </thead>
-                      <tbody>
-                        {actionData.preview
-                          .sort((a, b) => b.probabilities[0] - a.probabilities[0])
-                          .map((result) => (
-                            <tr key={result.participantId} className="border-b">
-                              <td className="py-2">{result.participantName}</td>
-                              <td className="text-right">
-                                {result.odds > 0 ? '+' : ''}
-                                {result.odds}
-                              </td>
-                              <td className="text-right">
-                                {(result.probabilities[0] * 100).toFixed(1)}%
-                              </td>
-                              <td className="text-right">
-                                {(result.probabilities[1] * 100).toFixed(1)}%
-                              </td>
-                              <td className="text-right">
-                                {(result.probabilities[2] * 100).toFixed(1)}%
-                              </td>
-                              <td className="text-right">
-                                {(result.probabilities[3] * 100).toFixed(1)}%
-                              </td>
-                              <td className="text-right">
-                                {(result.probabilities[4] * 100).toFixed(1)}%
-                              </td>
-                              <td className="text-right">
-                                {(result.probabilities[5] * 100).toFixed(1)}%
-                              </td>
-                              <td className="text-right">
-                                {(result.probabilities[6] * 100).toFixed(1)}%
-                              </td>
-                              <td className="text-right">
-                                {(result.probabilities[7] * 100).toFixed(1)}%
-                              </td>
-                            </tr>
-                          ))}
-                      </tbody>
-                    </table>
-                  </div>
-
-                  <Form method="post">
-                    {/* Pass through odds and preview probabilities */}
-                    {actionData.preview.map((result) => (
-                      <div key={result.participantId}>
-                        <input type="hidden" name={`odds_${result.participantId}`} value={result.odds} />
-                        <input type="hidden" name={`prob_first_${result.participantId}`} value={result.probabilities[0]} />
-                        <input type="hidden" name={`prob_second_${result.participantId}`} value={result.probabilities[1]} />
-                        <input type="hidden" name={`prob_third_${result.participantId}`} value={result.probabilities[2]} />
-                        <input type="hidden" name={`prob_fourth_${result.participantId}`} value={result.probabilities[3]} />
-                        <input type="hidden" name={`prob_fifth_${result.participantId}`} value={result.probabilities[4]} />
-                        <input type="hidden" name={`prob_sixth_${result.participantId}`} value={result.probabilities[5]} />
-                        <input type="hidden" name={`prob_seventh_${result.participantId}`} value={result.probabilities[6]} />
-                        <input type="hidden" name={`prob_eighth_${result.participantId}`} value={result.probabilities[7]} />
-                      </div>
-                    ))}
-
-                    <Button type="submit" name="intent" value="save" className="w-full" disabled={isSaving}>
-                      {isSaving && <Loader2 className="mr-2 h-4 w-4 animate-spin" />}
-                      {isSaving ? 'Saving...' : 'Save Probabilities'}
-                    </Button>
-                  </Form>
-                </div>
-              </CardContent>
-            </Card>
-          )}
-
-          {actionData && !actionData.success && actionData.message && (
-            <Card className="border-destructive">
-              <CardContent className="pt-6">
-                <div className="text-destructive font-medium">Error</div>
-                <div className="text-sm mt-2">{actionData.message}</div>
-              </CardContent>
-            </Card>
-          )}
-
-          {actionData && actionData.success && !actionData.preview && (
-            <Card className="border-emerald-500/30 bg-emerald-500/10">
-              <CardContent className="pt-6">
-                <div className="text-emerald-400 font-medium">Success</div>
-                <div className="text-sm mt-2">{actionData.message}</div>
-              </CardContent>
-            </Card>
-          )}
-        </div>
       </div>
     </div>
   );

app/routes/admin.sports-seasons.$id.recalculate-probabilities.tsx

@@ -1,416 +0,0 @@
-import { Form, Link, useLoaderData, useActionData } from "react-router";
-import type { LoaderFunctionArgs, ActionFunctionArgs } from "react-router";
-import { findSportsSeasonById } from "~/models/sports-season";
-import { findParticipantResultsBySportsSeasonId } from "~/models/participant-result";
-import { getAllParticipantEVsForSeason } from "~/models/participant-expected-value";
-import {
-  updateProbabilitiesAfterResult,
-  previewProbabilityUpdate,
-  type ProbabilityComparison,
-} from "~/services/probability-updater";
-import { Button } from "~/components/ui/button";
-import {
-  Card,
-  CardContent,
-  CardDescription,
-  CardHeader,
-  CardTitle,
-} from "~/components/ui/card";
-import {
-  Table,
-  TableBody,
-  TableCell,
-  TableHead,
-  TableHeader,
-  TableRow,
-} from "~/components/ui/table";
-import { Badge } from "~/components/ui/badge";
-import { ArrowLeft, RefreshCw, CheckCircle, AlertTriangle } from "lucide-react";
-import { database } from "~/database/context";
-import * as schema from "~/database/schema";
-import { eq } from "drizzle-orm";
-
-export async function loader({ params }: LoaderFunctionArgs) {
-  if (!params.id) {
-    throw new Response("Missing season ID", { status: 400 });
-  }
-
-  const sportsSeason = await findSportsSeasonById(params.id);
-
-  if (!sportsSeason) {
-    throw new Response("Sports season not found", { status: 404 });
-  }
-
-  const results = await findParticipantResultsBySportsSeasonId(params.id);
-  const existingEVs = await getAllParticipantEVsForSeason(params.id);
-
-  // Get preview of what would change
-  const preview = await previewProbabilityUpdate(params.id);
-
-  // Get participant names for display
-  const db = database();
-  const participants = await db.query.participants.findMany({
-    where: (participants, { inArray }) =>
-      inArray(
-        participants.id,
-        preview.map((p: ProbabilityComparison) => p.participantId)
-      ),
-  });
-
-  const participantMap = new Map(participants.map((p: typeof participants[0]) => [p.id, p]));
-
-  return {
-    sportsSeason,
-    results,
-    existingEVs,
-    preview: preview.map((p: ProbabilityComparison) => ({
-      ...p,
-      participantName: participantMap.get(p.participantId)?.name || "Unknown",
-    })),
-  };
-}
-
-export async function action({ params, request }: ActionFunctionArgs) {
-  const formData = await request.formData();
-  const intent = formData.get("intent");
-
-  if (intent === "recalculate") {
-    const recalculateUnfinished = formData.get("recalculateUnfinished") === "true";
-
-    if (!params.id) {
-      return { success: false, error: "Missing season ID" };
-    }
-
-    const result = await updateProbabilitiesAfterResult(
-      params.id,
-      recalculateUnfinished
-    );
-
-    if (result.errors.length > 0) {
-      return {
-        success: false,
-        error: result.errors.join("; "),
-        result,
-      };
-    }
-
-    return {
-      success: true,
-      result,
-    };
-  }
-
-  return { success: false, error: "Invalid intent" };
-}
-
-export default function RecalculateProbabilities() {
-  const { sportsSeason, results, existingEVs, preview } = useLoaderData<typeof loader>();
-  const actionData = useActionData<typeof action>();
-
-  const finishedCount = results.filter((r) => r.finalPosition !== null).length;
-  const totalCount = existingEVs.length;
-  const unfinishedCount = totalCount - finishedCount;
-
-  const changesCount = preview.filter((p) => p.status === "finished").length;
-
-  // Check for invalid probabilities (> 1.0)
-  const invalidProbabilities = preview.filter((p) =>
-    p.before.some((prob) => prob > 1.0)
-  );
-
-  function formatProbability(prob: number): string {
-    return (prob * 100).toFixed(1) + "%";
-  }
-
-  function getProbabilityChange(before: number, after: number): string {
-    const diff = (after - before) * 100;
-    if (Math.abs(diff) < 0.1) return "—";
-    const sign = diff > 0 ? "+" : "";
-    return sign + diff.toFixed(1) + "%";
-  }
-
-  return (
-    <div className="container mx-auto py-8 px-4">
-      <div className="mb-6">
-        <Button variant="ghost" size="sm" asChild>
-          <Link to={`/admin/sports-seasons/${sportsSeason.id}`}>
-            <ArrowLeft className="mr-2 h-4 w-4" />
-            Back to Sports Season
-          </Link>
-        </Button>
-      </div>
-
-      <div className="max-w-6xl mx-auto space-y-6">
-        <div>
-          <h1 className="text-3xl font-bold mb-2">Recalculate Probabilities</h1>
-          <p className="text-muted-foreground">
-            {sportsSeason.name} — {sportsSeason.year}
-          </p>
-        </div>
-
-        {invalidProbabilities.length > 0 && (
-          <Card className="border-amber-accent/30 bg-amber-accent/10">
-            <CardHeader>
-              <div className="flex items-center gap-2">
-                <AlertTriangle className="h-5 w-5 text-amber-accent" />
-                <CardTitle className="text-amber-accent">
-                  Invalid Probability Data Detected
-                </CardTitle>
-              </div>
-              <CardDescription>
-                {invalidProbabilities.length} participant(s) have probabilities greater than 100%, which indicates corrupted data
-              </CardDescription>
-            </CardHeader>
-            <CardContent>
-              <div className="space-y-2 text-sm">
-                <p>
-                  The following participants have invalid probabilities (marked with ⚠️ in the table below):
-                </p>
-                <ul className="list-disc list-inside">
-                  {invalidProbabilities.slice(0, 5).map((p) => (
-                    <li key={p.participantId}>
-                      {p.participantName}: P(1st) = {formatProbability(p.before[0])}
-                    </li>
-                  ))}
-                  {invalidProbabilities.length > 5 && (
-                    <li>... and {invalidProbabilities.length - 5} more</li>
-                  )}
-                </ul>
-                <p className="mt-4 text-muted-foreground">
-                  <strong>Solution:</strong> Go to the{" "}
-                  <Link
-                    to={`/admin/sports-seasons/${sportsSeason.id}/futures-odds`}
-                    className="underline"
-                  >
-                    Futures Odds page
-                  </Link>{" "}
-                  and regenerate probabilities from current betting odds to fix this data.
-                </p>
-              </div>
-            </CardContent>
-          </Card>
-        )}
-
-        {actionData?.success ? (
-          <Card className="border-emerald-500/30 bg-emerald-500/10">
-            <CardHeader>
-              <div className="flex items-center gap-2">
-                <CheckCircle className="h-5 w-5 text-emerald-400" />
-                <CardTitle className="text-emerald-400">
-                  Probabilities Updated Successfully
-                </CardTitle>
-              </div>
-              <CardDescription>
-                {actionData.result?.updated} participant
-                {actionData.result?.updated !== 1 ? "s" : ""} updated
-              </CardDescription>
-            </CardHeader>
-            <CardContent>
-              <div className="space-y-2 text-sm">
-                <div>
-                  Finished participants: {actionData.result?.finishedParticipants}
-                </div>
-                <div>
-                  Recalculated participants: {actionData.result?.unfishedParticipants}
-                </div>
-              </div>
-              <Button className="mt-4" asChild>
-                <Link to={`/admin/sports-seasons/${sportsSeason.id}/expected-values`}>
-                  View Expected Values
-                </Link>
-              </Button>
-            </CardContent>
-          </Card>
-        ) : actionData?.error ? (
-          <Card className="border-destructive bg-destructive/10">
-            <CardHeader>
-              <div className="flex items-center gap-2">
-                <AlertTriangle className="h-5 w-5 text-destructive" />
-                <CardTitle className="text-destructive">Error</CardTitle>
-              </div>
-              <CardDescription className="text-destructive/80">
-                {actionData.error}
-              </CardDescription>
-            </CardHeader>
-          </Card>
-        ) : null}
-
-        <Card>
-          <CardHeader>
-            <CardTitle>Summary</CardTitle>
-            <CardDescription>
-              Current state of participant results and probabilities
-            </CardDescription>
-          </CardHeader>
-          <CardContent>
-            <div className="grid grid-cols-3 gap-4">
-              <div>
-                <div className="text-2xl font-bold">{finishedCount}</div>
-                <div className="text-sm text-muted-foreground">
-                  Finished Participants
-                </div>
-              </div>
-              <div>
-                <div className="text-2xl font-bold">{unfinishedCount}</div>
-                <div className="text-sm text-muted-foreground">
-                  Unfinished Participants
-                </div>
-              </div>
-              <div>
-                <div className="text-2xl font-bold">{changesCount}</div>
-                <div className="text-sm text-muted-foreground">
-                  Changes to Apply
-                </div>
-              </div>
-            </div>
-          </CardContent>
-        </Card>
-
-        {changesCount === 0 ? (
-          <Card>
-            <CardHeader>
-              <CardTitle>No Changes Needed</CardTitle>
-              <CardDescription>
-                All finished participants already have their probabilities set correctly.
-              </CardDescription>
-            </CardHeader>
-            <CardContent>
-              <p className="text-sm text-muted-foreground">
-                Either no participants have finished yet, or their probabilities are
-                already up to date.
-              </p>
-            </CardContent>
-          </Card>
-        ) : (
-          <>
-            <Card>
-              <CardHeader>
-                <CardTitle>Probability Changes</CardTitle>
-                <CardDescription>
-                  Preview of changes that will be applied
-                </CardDescription>
-              </CardHeader>
-              <CardContent>
-                <Table>
-                  <TableHeader>
-                    <TableRow>
-                      <TableHead>Participant</TableHead>
-                      <TableHead>Status</TableHead>
-                      <TableHead className="text-right">P(1st) Before</TableHead>
-                      <TableHead className="text-right">P(1st) After</TableHead>
-                      <TableHead className="text-right">P(2nd) After</TableHead>
-                      <TableHead className="text-right">P(3rd) After</TableHead>
-                    </TableRow>
-                  </TableHeader>
-                  <TableBody>
-                    {preview
-                      .filter((p: ProbabilityComparison) => p.status === "finished")
-                      .map((p: ProbabilityComparison) => {
-                        const result = results.find(
-                          (r: typeof results[0]) => r.participantId === p.participantId
-                        );
-                        const finalPosition = result?.finalPosition;
-
-                        return (
-                          <TableRow key={p.participantId}>
-                            <TableCell className="font-medium">
-                              {p.participantName}
-                            </TableCell>
-                            <TableCell>
-                              <Badge variant="default">
-                                Finished {finalPosition ? `${finalPosition}${
-                                  finalPosition === 1
-                                    ? "st"
-                                    : finalPosition === 2
-                                    ? "nd"
-                                    : finalPosition === 3
-                                    ? "rd"
-                                    : "th"
-                                }` : ""}
-                              </Badge>
-                            </TableCell>
-                            <TableCell className="text-right font-mono text-sm">
-                              <div className={p.before[0] > 1 ? "text-destructive" : ""}>
-                                {formatProbability(p.before[0])}
-                                {p.before[0] > 1 && " ⚠️"}
-                              </div>
-                            </TableCell>
-                            <TableCell className="text-right font-mono text-sm">
-                              <div>{formatProbability(p.after[0])}</div>
-                              <div className="text-xs text-muted-foreground">
-                                {getProbabilityChange(p.before[0], p.after[0])}
-                              </div>
-                            </TableCell>
-                            <TableCell className="text-right font-mono text-sm">
-                              <div>{formatProbability(p.after[1])}</div>
-                            </TableCell>
-                            <TableCell className="text-right font-mono text-sm">
-                              <div>{formatProbability(p.after[2])}</div>
-                            </TableCell>
-                          </TableRow>
-                        );
-                      })}
-                  </TableBody>
-                </Table>
-              </CardContent>
-            </Card>
-
-            <Card>
-              <CardHeader>
-                <CardTitle>Apply Changes</CardTitle>
-                <CardDescription>
-                  Update probabilities based on real results
-                </CardDescription>
-              </CardHeader>
-              <CardContent>
-                <Form method="post" className="space-y-4">
-                  <input type="hidden" name="intent" value="recalculate" />
-                  <input
-                    type="hidden"
-                    name="recalculateUnfinished"
-                    value="true"
-                  />
-
-                  <div className="bg-electric/10 border border-electric/20 rounded-lg p-4">
-                    <h4 className="font-semibold text-sm mb-2">What happens:</h4>
-                    <ul className="text-sm space-y-1 text-muted-foreground">
-                      <li>
-                        • Finished participants get 100% probability at their final
-                        position
-                      </li>
-                      <li>
-                        • Unfinished participants get recalculated probabilities based
-                        on remaining competition
-                      </li>
-                      <li>
-                        • Expected values will be automatically updated for all
-                        affected leagues
-                      </li>
-                    </ul>
-                  </div>
-
-                  <div className="flex gap-4">
-                    <Button
-                      type="submit"
-                      className="flex-1"
-                      disabled={changesCount === 0}
-                    >
-                      <RefreshCw className="mr-2 h-4 w-4" />
-                      Apply {changesCount} Change
-                      {changesCount !== 1 ? "s" : ""}
-                    </Button>
-                    <Button type="button" variant="outline" asChild>
-                      <Link to={`/admin/sports-seasons/${sportsSeason.id}`}>
-                        Cancel
-                      </Link>
-                    </Button>
-                  </div>
-                </Form>
-              </CardContent>
-            </Card>
-          </>
-        )}
-      </div>
-    </div>
-  );
-}

app/routes/admin.sports-seasons.$id.simulate.tsx

@@ -0,0 +1,108 @@
+/**
+ * Admin: Run EV Simulation for a Sports Season
+ *
+ * Action-only route. POSTing here:
+ *   1. Guards against concurrent runs via simulationStatus
+ *   2. Runs the appropriate simulator based on the sport's simulatorType
+ *   3. Persists updated EVs to participantExpectedValues (transactional)
+ *   4. Takes an EV snapshot from simulation output (upsert for today's date)
+ *   5. Redirects back to the sports season admin page
+ */
+
+import { redirect } from "react-router";
+import type { Route } from "./+types/admin.sports-seasons.$id.simulate";
+import { findSportsSeasonById, updateSportsSeason } from "~/models/sports-season";
+import { batchUpsertParticipantEVs } from "~/models/participant-expected-value";
+import { batchUpsertParticipantEvSnapshots } from "~/models/ev-snapshot";
+import { getSimulator, type SimulatorType } from "~/services/simulations/registry";
+import { calculateEV, type ScoringRules } from "~/services/ev-calculator";
+
+// Default scoring rules — matches the season table defaults.
+// Per-league EV is recalculated from probabilities using league-specific rules in standings.
+const DEFAULT_SCORING_RULES: ScoringRules = {
+  pointsFor1st: 100,
+  pointsFor2nd: 70,
+  pointsFor3rd: 50,
+  pointsFor4th: 40,
+  pointsFor5th: 25,
+  pointsFor6th: 25,
+  pointsFor7th: 15,
+  pointsFor8th: 15,
+};
+
+export async function action({ params }: Route.ActionArgs) {
+  const sportsSeasonId = params.id;
+
+  const sportsSeason = await findSportsSeasonById(sportsSeasonId);
+  if (!sportsSeason) {
+    throw new Response("Sports season not found", { status: 404 });
+  }
+
+  if (!sportsSeason.sport?.simulatorType) {
+    throw new Response(
+      "This sport has no simulator type configured. Set a simulator type on the sport in the admin panel before running a simulation.",
+      { status: 400 }
+    );
+  }
+
+  // Guard against concurrent simulation runs
+  if (sportsSeason.simulationStatus === "running") {
+    throw new Response(
+      "A simulation is already running for this sports season. Please wait for it to complete.",
+      { status: 409 }
+    );
+  }
+
+  // Mark as running
+  await updateSportsSeason(sportsSeasonId, { simulationStatus: "running" });
+
+  try {
+    const simulator = getSimulator(sportsSeason.sport.simulatorType as SimulatorType);
+
+    const results = await simulator.simulate(sportsSeasonId);
+
+    if (results.length === 0) {
+      throw new Error("Simulation returned no results. Check that participants have EV data.");
+    }
+
+    // Persist updated EVs (transactional)
+    await batchUpsertParticipantEVs(
+      results.map((r) => ({
+        participantId: r.participantId,
+        sportsSeasonId,
+        probabilities: r.probabilities,
+        scoringRules: DEFAULT_SCORING_RULES,
+        source: "elo_simulation",
+      }))
+    );
+
+    // Take EV snapshot from simulation output (not re-read from DB)
+    const today = new Date().toISOString().slice(0, 10); // YYYY-MM-DD
+    await batchUpsertParticipantEvSnapshots(
+      results.map((r) => ({
+        participantId: r.participantId,
+        sportsSeasonId,
+        snapshotDate: today,
+        probFirst: r.probabilities.probFirst,
+        probSecond: r.probabilities.probSecond,
+        probThird: r.probabilities.probThird,
+        probFourth: r.probabilities.probFourth,
+        probFifth: r.probabilities.probFifth,
+        probSixth: r.probabilities.probSixth,
+        probSeventh: r.probabilities.probSeventh,
+        probEighth: r.probabilities.probEighth,
+        calculatedEV: calculateEV(r.probabilities, DEFAULT_SCORING_RULES),
+        source: r.source,
+      }))
+    );
+
+    // Mark as idle
+    await updateSportsSeason(sportsSeasonId, { simulationStatus: "idle" });
+  } catch (error) {
+    // Mark as failed so the UI shows the error state
+    await updateSportsSeason(sportsSeasonId, { simulationStatus: "failed" });
+    throw error;
+  }
+
+  return redirect(`/admin/sports-seasons/${sportsSeasonId}/expected-values`);
+}

app/routes/admin.sports-seasons.$id.tsx

@@ -3,6 +3,10 @@ import type { Route } from "./+types/admin.sports-seasons.$id";
 import { findSportsSeasonById, updateSportsSeason, deleteSportsSeason } from "~/models/sports-season";
 import { findParticipantsBySportsSeasonId } from "~/models/participant";
 import { processSeasonStandings } from "~/models/scoring-calculator";
+import { database } from "~/database/context";
+import { participantEvSnapshots } from "~/database/schema";
+import { eq, desc } from "drizzle-orm";
+import { getSimulatorInfo, type SimulatorType } from "~/services/simulations/registry";
 import { Button } from "~/components/ui/button";
 import { Input } from "~/components/ui/input";
 import { Label } from "~/components/ui/label";
@@ -32,7 +36,7 @@ import {
   AlertDialogTrigger,
 } from "~/components/ui/alert-dialog";
 import { Badge } from "~/components/ui/badge";
-import { Trash2, Users, Trophy, Calculator, CheckCircle2 } from "lucide-react";
+import { Trash2, Users, Trophy, Calculator, CheckCircle2, Zap, AlertTriangle, Loader2 } from "lucide-react";
 import { useState } from "react";
 
 export async function loader({ params }: Route.LoaderArgs) {
@@ -44,10 +48,26 @@ export async function loader({ params }: Route.LoaderArgs) {
 
   const participants = await findParticipantsBySportsSeasonId(params.id);
 
-  // Type assertion since we know the sport relation is included
+  // Get the most recent snapshot date (if any)
-  return { 
+  const db = database();
-    sportsSeason: sportsSeason as typeof sportsSeason & { sport: { id: string; name: string; type: string; slug: string } }, 
+  const lastSnapshot = await db
-    participants 
+    .select({ snapshotDate: participantEvSnapshots.snapshotDate })
+    .from(participantEvSnapshots)
+    .where(eq(participantEvSnapshots.sportsSeasonId, params.id))
+    .orderBy(desc(participantEvSnapshots.snapshotDate))
+    .limit(1);
+
+  const lastSimulatedDate = lastSnapshot[0]?.snapshotDate ?? null;
+
+  const simulatorInfo = sportsSeason.sport?.simulatorType
+    ? getSimulatorInfo(sportsSeason.sport.simulatorType as SimulatorType)
+    : null;
+
+  return {
+    sportsSeason,
+    participants,
+    lastSimulatedDate,
+    simulatorInfo,
   };
 }
 
@@ -139,7 +159,7 @@ export async function action({ request, params }: Route.ActionArgs) {
 }
 
 export default function EditSportsSeason({ loaderData, actionData }: Route.ComponentProps) {
-  const { sportsSeason, participants } = loaderData;
+  const { sportsSeason, participants, lastSimulatedDate, simulatorInfo } = loaderData;
   const navigate = useNavigate();
   const [scoringPattern, setScoringPattern] = useState<string>(sportsSeason.scoringPattern || "");
 
@@ -345,10 +365,18 @@ export default function EditSportsSeason({ loaderData, actionData }: Route.Compo
                 <div>
                   <CardTitle>Expected Values</CardTitle>
                   <CardDescription>
-                    Manage probability distributions and projected points
+                    {simulatorInfo
+                      ? simulatorInfo.name
+                      : "Manage probability distributions and projected points"}
                   </CardDescription>
                 </div>
-                <div className="flex gap-2">
+                <div className="flex items-center gap-2">
+                  {sportsSeason.simulationStatus === "failed" && (
+                    <Badge variant="outline" className="bg-destructive/15 text-destructive border-destructive/30">
+                      <AlertTriangle className="mr-1 h-3 w-3" />
+                      Last run failed
+                    </Badge>
+                  )}
                   <Button
                     size="sm"
                     variant="outline"
@@ -357,27 +385,39 @@ export default function EditSportsSeason({ loaderData, actionData }: Route.Compo
                     <Calculator className="mr-2 h-4 w-4" />
                     Futures Odds
                   </Button>
-                  <Button
+                  {simulatorInfo && (
-                    size="sm"
+                    <Form method="post" action={`/admin/sports-seasons/${sportsSeason.id}/simulate`}>
-                    variant="outline"
+                      <Button
-                    onClick={() => navigate(`/admin/sports-seasons/${sportsSeason.id}/expected-values`)}
+                        type="submit"
-                  >
+                        size="sm"
-                    <Calculator className="mr-2 h-4 w-4" />
+                        disabled={sportsSeason.simulationStatus === "running"}
-                    Manual Entry
+                      >
-                  </Button>
+                        {sportsSeason.simulationStatus === "running" ? (
-                  <Button
+                          <>
-                    size="sm"
+                            <Loader2 className="mr-2 h-4 w-4 animate-spin" />
-                    onClick={() => navigate(`/admin/sports-seasons/${sportsSeason.id}/recalculate-probabilities`)}
+                            Running...
-                  >
+                          </>
-                    <Calculator className="mr-2 h-4 w-4" />
+                        ) : (
-                    Recalculate
+                          <>
-                  </Button>
+                            <Zap className="mr-2 h-4 w-4" />
+                            Run Simulation
+                          </>
+                        )}
+                      </Button>
+                    </Form>
+                  )}
                 </div>
               </div>
             </CardHeader>
             <CardContent>
               <p className="text-sm text-muted-foreground">
-                Generate probabilities from betting odds (Futures Odds), manually enter them (Manual Entry), or recalculate based on results (Recalculate).
+                {simulatorInfo
+                  ? <>
+                      {simulatorInfo.description}.{" "}
+                      {lastSimulatedDate ? `Last simulated: ${lastSimulatedDate}.` : "No simulation has been run yet."}
+                      {" "}Import futures odds first, then run the simulation to update EVs and save a snapshot.
+                    </>
+                  : "Import futures odds to set probability distributions."}
               </p>
             </CardContent>
           </Card>

app/routes/admin.sports.$id.tsx

@@ -38,6 +38,7 @@ export async function action({ request, params }: Route.ActionArgs) {
   const type = formData.get("type");
   const slug = formData.get("slug");
   const description = formData.get("description");
+  const simulatorType = formData.get("simulatorType");
   const iconFile = formData.get("iconFile");
   const keepExistingIcon = formData.get("keepExistingIcon");
 
@@ -95,6 +96,13 @@ export async function action({ request, params }: Route.ActionArgs) {
     iconUrl = null;
   }
 
+  const validSimulatorTypes = ["f1_standings", "indycar_standings", "golf_qualifying_points", "playoff_bracket"] as const;
+  type ValidSimulatorType = typeof validSimulatorTypes[number];
+  const parsedSimulatorType: ValidSimulatorType | null =
+    typeof simulatorType === "string" && validSimulatorTypes.includes(simulatorType as ValidSimulatorType)
+      ? (simulatorType as ValidSimulatorType)
+      : null;
+
   try {
     await updateSport(params.id, {
       name: name.trim(),
@@ -102,6 +110,7 @@ export async function action({ request, params }: Route.ActionArgs) {
       slug: slug.trim(),
       description: typeof description === "string" ? description.trim() : null,
       iconUrl,
+      simulatorType: parsedSimulatorType,
     });
 
     return redirect("/admin/sports");
@@ -177,6 +186,25 @@ export default function EditSport({ loaderData, actionData }: Route.ComponentPro
                 </p>
               </div>
 
+              <div className="space-y-2">
+                <Label htmlFor="simulatorType">Simulator Type (Optional)</Label>
+                <Select name="simulatorType" defaultValue={sport.simulatorType ?? "none"}>
+                  <SelectTrigger id="simulatorType">
+                    <SelectValue placeholder="No simulator" />
+                  </SelectTrigger>
+                  <SelectContent>
+                    <SelectItem value="none">No simulator</SelectItem>
+                    <SelectItem value="f1_standings">F1 Standings Model</SelectItem>
+                    <SelectItem value="indycar_standings">IndyCar Standings Model</SelectItem>
+                    <SelectItem value="golf_qualifying_points">Golf Qualifying Points Model</SelectItem>
+                    <SelectItem value="playoff_bracket">Bracket Monte Carlo</SelectItem>
+                  </SelectContent>
+                </Select>
+                <p className="text-sm text-muted-foreground">
+                  Algorithm used when running EV simulations for this sport
+                </p>
+              </div>
+
               <div className="space-y-2">
                 <Label htmlFor="description">Description (Optional)</Label>
                 <Textarea

app/services/ev-calculator.ts

@@ -66,7 +66,7 @@ export function calculateEV(
     probabilities.probSeventh * scoringRules.pointsFor7th +
     probabilities.probEighth * scoringRules.pointsFor8th;
 
-  return Math.round(ev * 100) / 100; // Round to 2 decimal places
+  return ev;
 }
 
 /**

app/services/simulations/bracket-simulator.ts

@@ -0,0 +1,98 @@
+/**
+ * Bracket Simulator
+ *
+ * Wraps the existing Monte Carlo bracket simulator (app/services/bracket-simulator.ts)
+ * to conform to the Simulator interface. Loads current participant Elo ratings
+ * from participantExpectedValues and runs 100k simulations.
+ *
+ * The existing bracket simulator uses Elo ratings derived from futures odds
+ * (via the probability engine pipeline). These should be imported via the
+ * admin "Futures Odds" page before running simulation.
+ */
+
+import { database } from "~/database/context";
+import { participantExpectedValues, participants } from "~/database/schema";
+import { eq, and, isNotNull } from "drizzle-orm";
+import { simulateBracket } from "~/services/bracket-simulator";
+import { convertFuturesToElo } from "~/services/probability-engine";
+import type { Simulator, SimulationResult } from "./types";
+
+export class BracketSimulator implements Simulator {
+  async simulate(sportsSeasonId: string): Promise<SimulationResult[]> {
+    const db = database();
+
+    // Load all participants with their current EVs (which hold probability distributions)
+    const evRows = await db
+      .select({
+        participantId: participantExpectedValues.participantId,
+        probFirst: participantExpectedValues.probFirst,
+        sourceOdds: participantExpectedValues.sourceOdds,
+      })
+      .from(participantExpectedValues)
+      .where(eq(participantExpectedValues.sportsSeasonId, sportsSeasonId));
+
+    if (evRows.length === 0) {
+      throw new Error(
+        `No participant EVs found for sports season ${sportsSeasonId}. ` +
+        `Import futures odds first via Admin → Futures Odds.`
+      );
+    }
+
+    // Build Elo ratings from source odds (American odds format) if available,
+    // otherwise fall back to using probFirst as a proxy for win probability.
+    let eloMap: Map<string, number>;
+
+    const hasOdds = evRows.some((r) => r.sourceOdds !== null);
+
+    if (hasOdds) {
+      const oddsInput = evRows
+        .filter((r) => r.sourceOdds !== null)
+        .map((r) => ({ participantId: r.participantId, odds: r.sourceOdds! }));
+      eloMap = convertFuturesToElo(oddsInput);
+    } else {
+      // Fall back: treat probFirst (as %) as championship win probability,
+      // convert to a rough Elo by mapping [min, max] prob → [1250, 1750]
+      const probs = evRows.map((r) => parseFloat(r.probFirst));
+      const minProb = Math.min(...probs);
+      const maxProb = Math.max(...probs);
+      const range = maxProb - minProb || 1;
+
+      eloMap = new Map(
+        evRows.map((r) => {
+          const prob = parseFloat(r.probFirst);
+          const normalised = (prob - minProb) / range;
+          const elo = 1250 + normalised * 500;
+          return [r.participantId, elo];
+        })
+      );
+    }
+
+    const teamsForSimulation = evRows
+      .filter((r) => eloMap.has(r.participantId))
+      .map((r) => ({
+        participantId: r.participantId,
+        elo: eloMap.get(r.participantId)!,
+      }));
+
+    if (teamsForSimulation.length === 0) {
+      throw new Error(`Could not build Elo ratings for sports season ${sportsSeasonId}.`);
+    }
+
+    const probMap = await simulateBracket(teamsForSimulation);
+
+    return Array.from(probMap.entries()).map(([participantId, probs]) => ({
+      participantId,
+      probabilities: {
+        probFirst: probs[0],
+        probSecond: probs[1],
+        probThird: probs[2],
+        probFourth: probs[3],
+        probFifth: probs[4],
+        probSixth: probs[5],
+        probSeventh: probs[6],
+        probEighth: probs[7],
+      },
+      source: "bracket_monte_carlo",
+    }));
+  }
+}

app/services/simulations/f1-simulator.ts

@@ -0,0 +1,261 @@
+/**
+ * F1 / Season Standings Simulator
+ *
+ * Algorithm:
+ *   1. Load participants + current championship points from DB
+ *   2. Count remaining races (incomplete non-schedule scoring events)
+ *   3. Convert sourceOdds → vig-removed probability weights
+ *   4. Two simulation paths:
+ *      a. remainingRaces === 0 (pre-season): pure weighted draws from odds
+ *      b. remainingRaces > 0 (in-season): simulate each remaining race,
+ *         starting from real standings, awarding F1 race points per finish
+ *   5. Convert finish counts → probability distributions + normalize columns
+ *
+ * Notes:
+ *   - Drivers without odds fall back to uniform probability (1/N)
+ *   - PARTICIPANT_VOLATILITY and RACE_NOISE only apply to the in-season path
+ */
+
+import { database } from "~/database/context";
+import { eq } from "drizzle-orm";
+import * as schema from "~/database/schema";
+import { getAllParticipantEVsForSeason } from "~/models/participant-expected-value";
+import { getSeasonResults } from "~/models/participant-season-result";
+import type { Simulator, SimulationResult } from "./types";
+
+// ─── Simulation parameters (mirrors Python constants) ────────────────────────
+
+const NUM_SIMULATIONS = 10000;
+
+/** Per-race performance variance. 0 = no noise, 1 = fully random each race. */
+const RACE_NOISE = 0.50;
+
+/**
+ * Season-long multiplier range per driver.
+ * Each driver gets uniform(1 - V, 1 + V) applied to their base probability
+ * for the entire season, capturing "cars that over/underperform expectations".
+ */
+const PARTICIPANT_VOLATILITY = 1.5;
+
+/**
+ * Optional smoothing toward the mean after vig removal.
+ * 0.0 = use vig-removed market odds exactly (recommended).
+ * Increase slightly (e.g. 0.1) to soften extreme probabilities.
+ */
+const UNCERTAINTY_FACTOR = 0.0;
+
+// ─── F1 race points for finishing positions 1–10 ──────────────────────────────
+
+const RACE_POINTS: Record<number, number> = {
+  1: 25, 2: 18, 3: 15, 4: 12, 5: 10, 6: 8, 7: 6, 8: 4, 9: 2, 10: 1,
+};
+
+function getRacePoints(position: number): number {
+  return RACE_POINTS[position] ?? 0;
+}
+
+// ─── Odds helpers ─────────────────────────────────────────────────────────────
+
+/** Convert American odds to implied probability (no vig removal). */
+function americanToImpliedProb(americanOdds: number): number {
+  if (americanOdds > 0) {
+    return 100 / (americanOdds + 100);
+  }
+  return Math.abs(americanOdds) / (Math.abs(americanOdds) + 100);
+}
+
+// ─── Core simulation helper ───────────────────────────────────────────────────
+
+/**
+ * Weighted sequential draw without replacement.
+ * Returns all items in a simulated finishing order.
+ * Each draw is proportional to remaining weights.
+ */
+function weightedDrawWithoutReplacement(ids: string[], weights: number[]): string[] {
+  const pool = ids.slice();
+  const w = weights.slice();
+  const result: string[] = [];
+
+  while (pool.length > 0) {
+    const total = w.reduce((s, v) => s + v, 0);
+    let r = Math.random() * total;
+    let idx = 0;
+    while (idx < w.length - 1 && r > w[idx]) {
+      r -= w[idx];
+      idx++;
+    }
+    result.push(pool[idx]);
+    pool.splice(idx, 1);
+    w.splice(idx, 1);
+  }
+
+  return result;
+}
+
+// ─── Simulator ────────────────────────────────────────────────────────────────
+
+export class F1Simulator implements Simulator {
+  async simulate(sportsSeasonId: string): Promise<SimulationResult[]> {
+    const db = database();
+
+    // 1. Load all participants for this sports season
+    const participants = await db.query.participants.findMany({
+      where: eq(schema.participants.sportsSeasonId, sportsSeasonId),
+    });
+
+    if (participants.length === 0) {
+      throw new Error(`No participants found for sports season ${sportsSeasonId}.`);
+    }
+
+    // 2. Load current championship standings (existing points earned this season)
+    const seasonResults = await getSeasonResults(sportsSeasonId);
+    const currentPointsMap = new Map<string, number>(
+      seasonResults.map((r) => [r.participant.id, parseFloat(r.currentPoints ?? "0")])
+    );
+
+    // 3. Count remaining races: incomplete scoring events, excluding schedule_event entries
+    const allEvents = await db.query.scoringEvents.findMany({
+      where: eq(schema.scoringEvents.sportsSeasonId, sportsSeasonId),
+    });
+    const remainingRaces = allEvents.filter(
+      (e) => !e.isComplete && e.eventType !== "schedule_event"
+    ).length;
+
+    // 4. Load EV data for championship win probabilities
+    const evs = await getAllParticipantEVsForSeason(sportsSeasonId);
+    const evMap = new Map(evs.map((ev) => [ev.participantId, ev]));
+
+    const ids = participants.map((p) => p.id);
+
+    // 5. Build raw implied championship win probabilities from odds.
+    // americanToImpliedProb includes vig (sum > 1.0), so we normalize to sum = 1.0
+    // before using as weights. This is standard "vig removal" and ensures a driver
+    // with -200 odds (~66.7% implied) gets ~55% weight when the total vig is ~1.2.
+    const fallbackProb = 1 / participants.length;
+    const rawProbs = new Map<string, number>();
+
+    for (const p of participants) {
+      const ev = evMap.get(p.id);
+      rawProbs.set(p.id, ev?.sourceOdds != null ? americanToImpliedProb(ev.sourceOdds) : fallbackProb);
+    }
+
+    // Normalize to remove vig
+    const rawSum = [...rawProbs.values()].reduce((a, b) => a + b, 0);
+    for (const [id, prob] of rawProbs) {
+      rawProbs.set(id, prob / rawSum);
+    }
+
+    // 6. Optionally smooth toward the mean (no-op when UNCERTAINTY_FACTOR = 0)
+    const baseProbs = new Map<string, number>();
+    if (UNCERTAINTY_FACTOR === 0) {
+      for (const [id, prob] of rawProbs) baseProbs.set(id, prob);
+    } else {
+      const avgProb = [...rawProbs.values()].reduce((a, b) => a + b, 0) / participants.length;
+      for (const [id, prob] of rawProbs) {
+        baseProbs.set(id, prob * (1 - UNCERTAINTY_FACTOR) + avgProb * UNCERTAINTY_FACTOR);
+      }
+    }
+
+    // 7. Accumulate finish counts across simulations
+    // rankCounts[id][0..7] = number of times driver finished 1st..8th
+    const rankCounts = new Map<string, number[]>();
+    for (const id of ids) {
+      rankCounts.set(id, new Array(8).fill(0));
+    }
+
+    if (remainingRaces === 0) {
+      // Pre-season: no races to simulate, derive placement probabilities
+      // from sourceOdds via pure weighted draws.
+      const weights = ids.map((id) => baseProbs.get(id) ?? fallbackProb);
+      for (let sim = 0; sim < NUM_SIMULATIONS; sim++) {
+        const finishOrder = weightedDrawWithoutReplacement(ids, weights);
+        for (let rank = 0; rank < Math.min(8, finishOrder.length); rank++) {
+          rankCounts.get(finishOrder[rank])![rank]++;
+        }
+      }
+    } else {
+      // In-season: simulate remaining races from current standings.
+      for (let sim = 0; sim < NUM_SIMULATIONS; sim++) {
+        // 7a. Season-long performance multiplier per driver
+        const seasonWeights = new Map<string, number>();
+        for (const id of ids) {
+          const base = baseProbs.get(id) ?? fallbackProb;
+          const mult = Math.max(
+            0.05,
+            1 - PARTICIPANT_VOLATILITY + Math.random() * PARTICIPANT_VOLATILITY * 2
+          );
+          seasonWeights.set(id, base * mult);
+        }
+
+        // 7b. Start from current championship points
+        const simPoints = new Map<string, number>(
+          ids.map((id) => [id, currentPointsMap.get(id) ?? 0])
+        );
+
+        // 7c. Simulate each remaining race
+        for (let race = 0; race < remainingRaces; race++) {
+          const raceWeights = ids.map((id) => {
+            const sw = seasonWeights.get(id) ?? fallbackProb;
+            const noise = Math.max(0.01, 1 - RACE_NOISE + Math.random() * RACE_NOISE * 2);
+            return sw * noise;
+          });
+
+          const finishOrder = weightedDrawWithoutReplacement(ids, raceWeights);
+
+          for (let pos = 0; pos < finishOrder.length; pos++) {
+            const pts = getRacePoints(pos + 1);
+            if (pts === 0) break; // positions 11+ earn no F1 points
+            simPoints.set(finishOrder[pos], (simPoints.get(finishOrder[pos]) ?? 0) + pts);
+          }
+        }
+
+        // 7d. Sort by final championship points, record top-8 finishes
+        const finalOrder = [...simPoints.entries()]
+          .sort((a, b) => b[1] - a[1])
+          .map(([id]) => id);
+
+        for (let rank = 0; rank < Math.min(8, finalOrder.length); rank++) {
+          rankCounts.get(finalOrder[rank])![rank]++;
+        }
+      }
+    }
+
+    // 8. Convert counts → probability distributions
+    const results: SimulationResult[] = participants.map((p) => ({
+      participantId: p.id,
+      probabilities: {
+        probFirst:   rankCounts.get(p.id)![0] / NUM_SIMULATIONS,
+        probSecond:  rankCounts.get(p.id)![1] / NUM_SIMULATIONS,
+        probThird:   rankCounts.get(p.id)![2] / NUM_SIMULATIONS,
+        probFourth:  rankCounts.get(p.id)![3] / NUM_SIMULATIONS,
+        probFifth:   rankCounts.get(p.id)![4] / NUM_SIMULATIONS,
+        probSixth:   rankCounts.get(p.id)![5] / NUM_SIMULATIONS,
+        probSeventh: rankCounts.get(p.id)![6] / NUM_SIMULATIONS,
+        probEighth:  rankCounts.get(p.id)![7] / NUM_SIMULATIONS,
+      },
+      source: "f1_standings_model",
+    }));
+
+    // 9. Per-position normalization: each column should sum to exactly 1.0 but
+    // floating-point division (count / 10000) accumulates small errors across
+    // ~20 drivers, causing the total EV to drift (e.g. 340.02 instead of 340).
+    // Fix: add the residual (1.0 - colSum) to the largest probability in each
+    // column so the sum is exactly 1.0 in IEEE 754 arithmetic.
+    const positionKeys: Array<keyof typeof results[0]["probabilities"]> = [
+      "probFirst", "probSecond", "probThird", "probFourth",
+      "probFifth", "probSixth", "probSeventh", "probEighth",
+    ];
+    for (const key of positionKeys) {
+      const colSum = results.reduce((s, r) => s + r.probabilities[key], 0);
+      const residual = 1.0 - colSum;
+      if (residual !== 0) {
+        const maxResult = results.reduce((best, r) =>
+          r.probabilities[key] > best.probabilities[key] ? r : best
+        );
+        maxResult.probabilities[key] += residual;
+      }
+    }
+
+    return results;
+  }
+}

app/services/simulations/golf-simulator.ts

@@ -0,0 +1,32 @@
+/**
+ * Golf / Qualifying Points Simulator
+ *
+ * TODO: Port the Python golf/majors simulator here.
+ *
+ * Input data available:
+ *   - Current QP standings: getQPStandings(sportsSeasonId)
+ *     Returns { participant.id, participant.name, totalQualifyingPoints, eventsScored }
+ *   - Remaining majors: sportsSeason.totalMajors - sportsSeason.majorsCompleted
+ *   - Per-major QP config: qualifyingPointConfig table (points per placement for each major)
+ *
+ * Expected output: SimulationResult[] — one entry per participant with
+ * probabilities (0–1) for finishing 1st through 8th in the final QP standings.
+ *
+ * Algorithm sketch (replace with the Python model logic):
+ *   1. Get current QP totals for all participants
+ *   2. For each remaining major, model each participant's probability of
+ *      finishing at each placement (using world rankings, recent form, etc.)
+ *   3. Monte Carlo: simulate remaining majors N times, add QP, tally final standings
+ *   4. Convert tally counts → probabilities
+ */
+
+import type { Simulator, SimulationResult } from "./types";
+
+export class GolfSimulator implements Simulator {
+  async simulate(_sportsSeasonId: string): Promise<SimulationResult[]> {
+    throw new Error(
+      "GolfSimulator not yet implemented. " +
+      "Port the Python golf/majors model to TypeScript and implement this method."
+    );
+  }
+}

app/services/simulations/registry.ts

@@ -0,0 +1,58 @@
+/**
+ * Simulator Registry
+ *
+ * Maps a sport's simulatorType to the appropriate Simulator implementation.
+ * Set simulatorType on the sport record in the admin UI.
+ * Add new simulators here as new sports are supported.
+ */
+
+import type { Simulator } from "./types";
+import { BracketSimulator } from "./bracket-simulator";
+import { F1Simulator } from "./f1-simulator";
+import { GolfSimulator } from "./golf-simulator";
+
+export type SimulatorType =
+  | "f1_standings"
+  | "indycar_standings"
+  | "golf_qualifying_points"
+  | "playoff_bracket";
+
+export interface SimulatorInfo {
+  name: string;
+  description: string;
+}
+
+const REGISTRY: Record<SimulatorType, { info: SimulatorInfo; create: () => Simulator }> = {
+  f1_standings: {
+    info: { name: "F1 Standings Model", description: "Simulates remaining races using current F1 standings and futures odds" },
+    create: () => new F1Simulator(),
+  },
+  indycar_standings: {
+    info: { name: "IndyCar Standings Model", description: "Simulates remaining races using current IndyCar standings and futures odds" },
+    create: () => new F1Simulator(),
+  },
+  golf_qualifying_points: {
+    info: { name: "Qualifying Points Model", description: "Simulates remaining majors using current QP standings and futures odds" },
+    create: () => new GolfSimulator(),
+  },
+  playoff_bracket: {
+    info: { name: "Bracket Monte Carlo", description: "Simulates playoff bracket outcomes using Elo ratings" },
+    create: () => new BracketSimulator(),
+  },
+};
+
+export function getSimulator(simulatorType: SimulatorType): Simulator {
+  const entry = REGISTRY[simulatorType];
+  if (!entry) {
+    throw new Error(
+      `No simulator registered for type: "${simulatorType}". ` +
+      `Add a simulator to app/services/simulations/registry.ts.`
+    );
+  }
+  return entry.create();
+}
+
+export function getSimulatorInfo(simulatorType: SimulatorType): SimulatorInfo | null {
+  return REGISTRY[simulatorType]?.info ?? null;
+}
+

app/services/simulations/types.ts

@@ -0,0 +1,35 @@
+/**
+ * Simulator interface and shared types for sport-specific EV simulation.
+ *
+ * Each simulator takes a sportsSeasonId, reads the data it needs from the DB,
+ * runs its algorithm, and returns a probability distribution for every participant.
+ */
+
+export interface SimulationProbabilities {
+  probFirst: number;
+  probSecond: number;
+  probThird: number;
+  probFourth: number;
+  probFifth: number;
+  probSixth: number;
+  probSeventh: number;
+  probEighth: number;
+}
+
+/**
+ * Result for a single participant from a simulation run.
+ * Probabilities are 0-1 decimals (not percentages).
+ */
+export interface SimulationResult {
+  participantId: string;
+  probabilities: SimulationProbabilities;
+  /** Human-readable name of the algorithm used, e.g. 'bracket_monte_carlo' */
+  source: string;
+}
+
+/**
+ * Common interface all sport simulators must implement.
+ */
+export interface Simulator {
+  simulate(sportsSeasonId: string): Promise<SimulationResult[]>;
+}

database/schema.ts

@@ -70,6 +70,19 @@ export const probabilitySourceEnum = pgEnum("probability_source", [
   "performance_model",
 ]);
 
+export const simulationStatusEnum = pgEnum("simulation_status", [
+  "idle",
+  "running",
+  "failed",
+]);
+
+export const simulatorTypeEnum = pgEnum("simulator_type", [
+  "f1_standings",
+  "indycar_standings",
+  "golf_qualifying_points",
+  "playoff_bracket",
+]);
+
 export const leagues = pgTable("leagues", {
   id: uuid("id").primaryKey().defaultRandom(),
   name: varchar("name", { length: 255 }).notNull(),
@@ -229,6 +242,7 @@ export const sports = pgTable("sports", {
   slug: varchar("slug", { length: 255 }).notNull().unique(),
   description: text("description"),
   iconUrl: varchar("icon_url", { length: 255 }), // Filename of icon in /public/sports-icons/
+  simulatorType: simulatorTypeEnum("simulator_type"),
   createdAt: timestamp("created_at").defaultNow().notNull(),
   updatedAt: timestamp("updated_at").defaultNow().notNull(),
 });
@@ -254,6 +268,8 @@ export const sportsSeasons = pgTable("sports_seasons", {
   eloCalibrationExponent: decimal("elo_calibration_exponent", { precision: 3, scale: 2 }), // e.g., 0.33
   eloMinRating: integer("elo_min_rating").default(1250),
   eloMaxRating: integer("elo_max_rating").default(1750),
+  // Simulation status (prevents concurrent simulation runs)
+  simulationStatus: simulationStatusEnum("simulation_status").notNull().default("idle"),
   createdAt: timestamp("created_at").defaultNow().notNull(),
   updatedAt: timestamp("updated_at").defaultNow().notNull(),
 });
@@ -266,7 +282,7 @@ export const participants = pgTable("participants", {
   name: varchar("name", { length: 255 }).notNull(),
   shortName: varchar("short_name", { length: 100 }),
   externalId: varchar("external_id", { length: 255 }),
-  expectedValue: decimal("expected_value", { precision: 10, scale: 2 }).notNull().default("0"),
+  expectedValue: decimal("expected_value", { precision: 10, scale: 4 }).notNull().default("0"),
   createdAt: timestamp("created_at").defaultNow().notNull(),
   updatedAt: timestamp("updated_at").defaultNow().notNull(),
 });
@@ -487,17 +503,17 @@ export const participantExpectedValues = pgTable("participant_expected_values",
   sportsSeasonId: uuid("sports_season_id")
     .notNull()
     .references(() => sportsSeasons.id, { onDelete: "cascade" }),
-  // Probability distribution (stored as percentages)
+  // Probability distribution (stored as fractions, e.g. 0.1550 = 15.5%)
-  probFirst: decimal("prob_first", { precision: 5, scale: 2 }).notNull().default("0"), // e.g., 15.50 = 15.5%
+  probFirst: decimal("prob_first", { precision: 6, scale: 4 }).notNull().default("0"),
-  probSecond: decimal("prob_second", { precision: 5, scale: 2 }).notNull().default("0"),
+  probSecond: decimal("prob_second", { precision: 6, scale: 4 }).notNull().default("0"),
-  probThird: decimal("prob_third", { precision: 5, scale: 2 }).notNull().default("0"),
+  probThird: decimal("prob_third", { precision: 6, scale: 4 }).notNull().default("0"),
-  probFourth: decimal("prob_fourth", { precision: 5, scale: 2 }).notNull().default("0"),
+  probFourth: decimal("prob_fourth", { precision: 6, scale: 4 }).notNull().default("0"),
-  probFifth: decimal("prob_fifth", { precision: 5, scale: 2 }).notNull().default("0"),
+  probFifth: decimal("prob_fifth", { precision: 6, scale: 4 }).notNull().default("0"),
-  probSixth: decimal("prob_sixth", { precision: 5, scale: 2 }).notNull().default("0"),
+  probSixth: decimal("prob_sixth", { precision: 6, scale: 4 }).notNull().default("0"),
-  probSeventh: decimal("prob_seventh", { precision: 5, scale: 2 }).notNull().default("0"),
+  probSeventh: decimal("prob_seventh", { precision: 6, scale: 4 }).notNull().default("0"),
-  probEighth: decimal("prob_eighth", { precision: 5, scale: 2 }).notNull().default("0"),
+  probEighth: decimal("prob_eighth", { precision: 6, scale: 4 }).notNull().default("0"),
   // Calculated EV
-  expectedValue: decimal("expected_value", { precision: 10, scale: 2 }).notNull().default("0"),
+  expectedValue: decimal("expected_value", { precision: 10, scale: 4 }).notNull().default("0"),
   // Metadata
   source: probabilitySourceEnum("source").default("manual"), // How probabilities were generated
   sourceOdds: integer("source_odds"), // Original odds if source is futures_odds (American odds format)
@@ -542,6 +558,54 @@ export const participantSeasonResults = pgTable("participant_season_results", {
   updatedAt: timestamp("updated_at").defaultNow().notNull(),
 });
 
+// EV snapshots — historical record of participant EV over time (one per participant per sport season per day)
+export const participantEvSnapshots = pgTable("participant_ev_snapshots", {
+  id: uuid("id").primaryKey().defaultRandom(),
+  participantId: uuid("participant_id")
+    .notNull()
+    .references(() => participants.id, { onDelete: "cascade" }),
+  sportsSeasonId: uuid("sports_season_id")
+    .notNull()
+    .references(() => sportsSeasons.id, { onDelete: "cascade" }),
+  snapshotDate: date("snapshot_date").notNull(),
+  // Probability distribution (stored as fractions, e.g. 0.1550 = 15.5%)
+  probFirst: decimal("prob_first", { precision: 5, scale: 2 }).notNull().default("0"),
+  probSecond: decimal("prob_second", { precision: 5, scale: 2 }).notNull().default("0"),
+  probThird: decimal("prob_third", { precision: 5, scale: 2 }).notNull().default("0"),
+  probFourth: decimal("prob_fourth", { precision: 5, scale: 2 }).notNull().default("0"),
+  probFifth: decimal("prob_fifth", { precision: 5, scale: 2 }).notNull().default("0"),
+  probSixth: decimal("prob_sixth", { precision: 5, scale: 2 }).notNull().default("0"),
+  probSeventh: decimal("prob_seventh", { precision: 5, scale: 2 }).notNull().default("0"),
+  probEighth: decimal("prob_eighth", { precision: 5, scale: 2 }).notNull().default("0"),
+  calculatedEV: decimal("calculated_ev", { precision: 10, scale: 4 }).notNull().default("0"),
+  source: varchar("source", { length: 100 }).notNull(), // e.g. 'bracket_monte_carlo', 'f1_standings_model'
+  createdAt: timestamp("created_at").defaultNow().notNull(),
+  updatedAt: timestamp("updated_at").defaultNow().notNull(),
+}, (t) => ({
+  uniqueParticipantSeasonDate: uniqueIndex("participant_ev_snapshots_unique").on(
+    t.participantId, t.sportsSeasonId, t.snapshotDate
+  ),
+}));
+
+// Team EV snapshots — historical projected points per team per fantasy season per day
+export const teamEvSnapshots = pgTable("team_ev_snapshots", {
+  id: uuid("id").primaryKey().defaultRandom(),
+  teamId: uuid("team_id")
+    .notNull()
+    .references(() => teams.id, { onDelete: "cascade" }),
+  seasonId: uuid("season_id")
+    .notNull()
+    .references(() => seasons.id, { onDelete: "cascade" }),
+  snapshotDate: date("snapshot_date").notNull(),
+  projectedPoints: decimal("projected_points", { precision: 10, scale: 2 }).notNull().default("0"),
+  actualPoints: decimal("actual_points", { precision: 10, scale: 2 }).notNull().default("0"),
+  createdAt: timestamp("created_at").defaultNow().notNull(),
+}, (t) => ({
+  uniqueTeamSeasonDate: uniqueIndex("team_ev_snapshots_unique").on(
+    t.teamId, t.seasonId, t.snapshotDate
+  ),
+}));
+
 // Relations
 export const sportsRelations = relations(sports, ({ many }) => ({
   sportsSeasons: many(sportsSeasons),
@@ -818,3 +882,25 @@ export const tournamentGroupMembersRelations = relations(tournamentGroupMembers,
     references: [participants.id],
   }),
 }));
+
+export const participantEvSnapshotsRelations = relations(participantEvSnapshots, ({ one }) => ({
+  participant: one(participants, {
+    fields: [participantEvSnapshots.participantId],
+    references: [participants.id],
+  }),
+  sportsSeason: one(sportsSeasons, {
+    fields: [participantEvSnapshots.sportsSeasonId],
+    references: [sportsSeasons.id],
+  }),
+}));
+
+export const teamEvSnapshotsRelations = relations(teamEvSnapshots, ({ one }) => ({
+  team: one(teams, {
+    fields: [teamEvSnapshots.teamId],
+    references: [teams.id],
+  }),
+  season: one(seasons, {
+    fields: [teamEvSnapshots.seasonId],
+    references: [seasons.id],
+  }),
+}));

drizzle/0032_consolidate_playoff_pattern.sql

@@ -1,20 +1,31 @@
 -- Consolidate single_elimination_playoff and page_playoff → playoff_bracket
 -- PostgreSQL does not support DROP VALUE on enums, so we recreate the type.
+-- Wrapped in DO block so re-running is safe if already applied.
 
--- Step 1: Create new consolidated enum
+DO $$
-CREATE TYPE "scoring_pattern_new" AS ENUM('playoff_bracket', 'season_standings', 'qualifying_points');
+BEGIN
+  -- Only migrate if the old enum values still exist
+  IF EXISTS (
+    SELECT 1 FROM pg_enum
+    WHERE enumlabel = 'single_elimination_playoff'
+      AND enumtypid = (SELECT oid FROM pg_type WHERE typname = 'scoring_pattern')
+  ) THEN
+    -- Step 1: Create new consolidated enum
+    CREATE TYPE "scoring_pattern_new" AS ENUM('playoff_bracket', 'season_standings', 'qualifying_points');
 
--- Step 2: Migrate column data, mapping old values to playoff_bracket
+    -- Step 2: Migrate column data, mapping old values to playoff_bracket
-ALTER TABLE "sports_seasons"
+    ALTER TABLE "sports_seasons"
-  ALTER COLUMN "scoring_pattern" TYPE "scoring_pattern_new"
+      ALTER COLUMN "scoring_pattern" TYPE "scoring_pattern_new"
-  USING (
+      USING (
-    CASE scoring_pattern::text
+        CASE scoring_pattern::text
-      WHEN 'single_elimination_playoff' THEN 'playoff_bracket'::scoring_pattern_new
+          WHEN 'single_elimination_playoff' THEN 'playoff_bracket'::scoring_pattern_new
-      WHEN 'page_playoff'               THEN 'playoff_bracket'::scoring_pattern_new
+          WHEN 'page_playoff'               THEN 'playoff_bracket'::scoring_pattern_new
-      ELSE scoring_pattern::text::scoring_pattern_new
+          ELSE scoring_pattern::text::scoring_pattern_new
-    END
+        END
-  );
+      );
 
--- Step 3: Replace old type
+    -- Step 3: Replace old type
-DROP TYPE "scoring_pattern";
+    DROP TYPE "scoring_pattern";
-ALTER TYPE "scoring_pattern_new" RENAME TO "scoring_pattern";
+    ALTER TYPE "scoring_pattern_new" RENAME TO "scoring_pattern";
+  END IF;
+END $$;

drizzle/0034_add_ev_snapshots.sql

@@ -0,0 +1,46 @@
+-- Phase 2: EV Simulation Framework
+-- Add simulation_status enum + column to sports_seasons
+-- Add participant_ev_snapshots and team_ev_snapshots tables
+-- Wrapped in IF NOT EXISTS guards so re-running is safe if partially applied.
+
+DO $$
+BEGIN
+  IF NOT EXISTS (SELECT 1 FROM pg_type WHERE typname = 'simulation_status') THEN
+    CREATE TYPE "simulation_status" AS ENUM('idle', 'running', 'failed');
+  END IF;
+END $$;
+
+ALTER TABLE "sports_seasons" ADD COLUMN IF NOT EXISTS "simulation_status" "simulation_status" NOT NULL DEFAULT 'idle';
+
+CREATE TABLE IF NOT EXISTS "participant_ev_snapshots" (
+  "id" uuid PRIMARY KEY DEFAULT gen_random_uuid() NOT NULL,
+  "participant_id" uuid NOT NULL REFERENCES "participants"("id") ON DELETE CASCADE,
+  "sports_season_id" uuid NOT NULL REFERENCES "sports_seasons"("id") ON DELETE CASCADE,
+  "snapshot_date" date NOT NULL,
+  "prob_first" numeric(5, 4) NOT NULL DEFAULT '0',
+  "prob_second" numeric(5, 4) NOT NULL DEFAULT '0',
+  "prob_third" numeric(5, 4) NOT NULL DEFAULT '0',
+  "prob_fourth" numeric(5, 4) NOT NULL DEFAULT '0',
+  "prob_fifth" numeric(5, 4) NOT NULL DEFAULT '0',
+  "prob_sixth" numeric(5, 4) NOT NULL DEFAULT '0',
+  "prob_seventh" numeric(5, 4) NOT NULL DEFAULT '0',
+  "prob_eighth" numeric(5, 4) NOT NULL DEFAULT '0',
+  "calculated_ev" numeric(10, 2) NOT NULL DEFAULT '0',
+  "source" varchar(100) NOT NULL,
+  "created_at" timestamp DEFAULT now() NOT NULL,
+  "updated_at" timestamp DEFAULT now() NOT NULL
+);
+
+CREATE UNIQUE INDEX IF NOT EXISTS "participant_ev_snapshots_unique" ON "participant_ev_snapshots" ("participant_id", "sports_season_id", "snapshot_date");
+
+CREATE TABLE IF NOT EXISTS "team_ev_snapshots" (
+  "id" uuid PRIMARY KEY DEFAULT gen_random_uuid() NOT NULL,
+  "team_id" uuid NOT NULL REFERENCES "teams"("id") ON DELETE CASCADE,
+  "season_id" uuid NOT NULL REFERENCES "seasons"("id") ON DELETE CASCADE,
+  "snapshot_date" date NOT NULL,
+  "projected_points" numeric(10, 2) NOT NULL DEFAULT '0',
+  "actual_points" numeric(10, 2) NOT NULL DEFAULT '0',
+  "created_at" timestamp DEFAULT now() NOT NULL
+);
+
+CREATE UNIQUE INDEX IF NOT EXISTS "team_ev_snapshots_unique" ON "team_ev_snapshots" ("team_id", "season_id", "snapshot_date");

drizzle/0035_increase_prob_precision.sql

@@ -0,0 +1,24 @@
+-- Increase probability column precision from numeric(5,2) to numeric(6,4)
+-- numeric(5,2) only stores 2 decimal places (e.g. 0.05), causing EV sums to drift
+-- from the expected 340 due to rounding. numeric(6,4) stores 4 decimal places
+-- (e.g. 0.0457), sufficient for 10,000-simulation output (min step = 0.0001).
+
+ALTER TABLE "participant_expected_values"
+  ALTER COLUMN "prob_first"   TYPE numeric(6,4) USING prob_first::numeric(6,4),
+  ALTER COLUMN "prob_second"  TYPE numeric(6,4) USING prob_second::numeric(6,4),
+  ALTER COLUMN "prob_third"   TYPE numeric(6,4) USING prob_third::numeric(6,4),
+  ALTER COLUMN "prob_fourth"  TYPE numeric(6,4) USING prob_fourth::numeric(6,4),
+  ALTER COLUMN "prob_fifth"   TYPE numeric(6,4) USING prob_fifth::numeric(6,4),
+  ALTER COLUMN "prob_sixth"   TYPE numeric(6,4) USING prob_sixth::numeric(6,4),
+  ALTER COLUMN "prob_seventh" TYPE numeric(6,4) USING prob_seventh::numeric(6,4),
+  ALTER COLUMN "prob_eighth"  TYPE numeric(6,4) USING prob_eighth::numeric(6,4);
+
+ALTER TABLE "participant_ev_snapshots"
+  ALTER COLUMN "prob_first"   TYPE numeric(6,4) USING prob_first::numeric(6,4),
+  ALTER COLUMN "prob_second"  TYPE numeric(6,4) USING prob_second::numeric(6,4),
+  ALTER COLUMN "prob_third"   TYPE numeric(6,4) USING prob_third::numeric(6,4),
+  ALTER COLUMN "prob_fourth"  TYPE numeric(6,4) USING prob_fourth::numeric(6,4),
+  ALTER COLUMN "prob_fifth"   TYPE numeric(6,4) USING prob_fifth::numeric(6,4),
+  ALTER COLUMN "prob_sixth"   TYPE numeric(6,4) USING prob_sixth::numeric(6,4),
+  ALTER COLUMN "prob_seventh" TYPE numeric(6,4) USING prob_seventh::numeric(6,4),
+  ALTER COLUMN "prob_eighth"  TYPE numeric(6,4) USING prob_eighth::numeric(6,4);

drizzle/0036_increase_ev_precision.sql

@@ -0,0 +1,13 @@
+-- Increase expected_value precision from numeric(10,2) to numeric(10,4)
+-- numeric(10,2) rounds each participant's EV to 2dp; across 20 drivers the
+-- accumulated rounding can exceed 0.05, pushing the total above 340.
+-- numeric(10,4) limits per-participant error to ±0.00005 (total <0.001).
+
+ALTER TABLE "participants"
+  ALTER COLUMN "expected_value" TYPE numeric(10,4) USING expected_value::numeric(10,4);
+
+ALTER TABLE "participant_expected_values"
+  ALTER COLUMN "expected_value" TYPE numeric(10,4) USING expected_value::numeric(10,4);
+
+ALTER TABLE "participant_ev_snapshots"
+  ALTER COLUMN "calculated_ev" TYPE numeric(10,4) USING calculated_ev::numeric(10,4);

drizzle/0037_add_simulator_type_to_sports.sql

@@ -0,0 +1,3 @@
+CREATE TYPE "public"."simulator_type" AS ENUM('f1_standings', 'indycar_standings', 'golf_qualifying_points', 'playoff_bracket');
+--> statement-breakpoint
+ALTER TABLE "sports" ADD COLUMN "simulator_type" "simulator_type";

drizzle/meta/_journal.json

@@ -229,16 +229,44 @@
     {
       "idx": 32,
       "version": "7",
-      "when": 1741305600000,
+      "when": 1763284000000,
       "tag": "0032_consolidate_playoff_pattern",
       "breakpoints": true
     },
     {
       "idx": 33,
       "version": "7",
-      "when": 1741392000000,
+      "when": 1763285000000,
       "tag": "0033_add_schedule_event_type",
       "breakpoints": true
+    },
+    {
+      "idx": 34,
+      "version": "7",
+      "when": 1763286000000,
+      "tag": "0034_add_ev_snapshots",
+      "breakpoints": true
+    },
+    {
+      "idx": 35,
+      "version": "7",
+      "when": 1763287000000,
+      "tag": "0035_increase_prob_precision",
+      "breakpoints": true
+    },
+    {
+      "idx": 36,
+      "version": "7",
+      "when": 1763288000000,
+      "tag": "0036_increase_ev_precision",
+      "breakpoints": true
+    },
+    {
+      "idx": 37,
+      "version": "7",
+      "when": 1763289000000,
+      "tag": "0037_add_simulator_type_to_sports",
+      "breakpoints": true
     }
   ]
 }