app/models/__tests__/futures-odds-simulator.test.ts

@@ -10,57 +10,43 @@ import { batchSaveFuturesOddsForSimulator } from "../simulator";
 
 type SetPayload = Record<string, unknown>;
 
-const setCalls: SetPayload[] = [];
 const conflictSetCalls: SetPayload[] = [];
 
-const tx = {
-  update: vi.fn(() => ({
-    set: vi.fn((arg: SetPayload) => {
-      setCalls.push(arg);
-      return { where: vi.fn().mockResolvedValue(undefined) };
-    }),
-  })),
-  insert: vi.fn(() => ({
-    values: vi.fn(() => ({
-      onConflictDoUpdate: vi.fn((arg: { set: SetPayload }) => {
-        conflictSetCalls.push(arg.set);
-        return Promise.resolve(undefined);
-      }),
-    })),
-  })),
-};
+const onConflictDoUpdate = vi.fn((arg: { set: SetPayload }) => {
+  conflictSetCalls.push(arg.set);
+  return Promise.resolve(undefined);
+});
 
 const mockDb = {
-  transaction: vi.fn(async (cb: (t: typeof tx) => Promise<void>) => cb(tx)),
+  insert: vi.fn(() => ({
+    values: vi.fn(() => ({ onConflictDoUpdate })),
+  })),
 };
 
 beforeEach(() => {
   vi.clearAllMocks();
-  setCalls.length = 0;
   conflictSetCalls.length = 0;
   (database as ReturnType<typeof vi.fn>).mockReturnValue(mockDb);
 });
 
 describe("batchSaveFuturesOddsForSimulator", () => {
-  it("clears rating and sourceElo so odds drive the next run", async () => {
+  it("persists odds without destroying a stored Elo/rating", async () => {
     await batchSaveFuturesOddsForSimulator([
       { participantId: "team-1", sportsSeasonId: "season-1", sourceOdds: 550 },
     ]);
 
-    // Pre-update clears the stale rating and sourceElo for these participants.
-    expect(setCalls).toHaveLength(1);
-    expect(setCalls[0]).toMatchObject({ rating: null, sourceElo: null });
-    // Metadata is rewritten (an SQL fragment that strips ratingMethod/sourceEloMethod).
-    expect(setCalls[0].metadata).toBeDefined();
-
-    // The upsert conflict path also nulls both so re-entering odds stays clean.
+    // The upsert writes the odds and leaves Elo/rating untouched — whether the
+    // odds override them is now decided by the configurable source priority,
+    // not by nulling stored values here.
+    expect(mockDb.insert).toHaveBeenCalledTimes(1);
     expect(conflictSetCalls).toHaveLength(1);
-    expect(conflictSetCalls[0]).toMatchObject({ rating: null, sourceElo: null });
-    expect(conflictSetCalls[0].metadata).toBeDefined();
+    expect(conflictSetCalls[0]).toHaveProperty("sourceOdds");
+    expect(conflictSetCalls[0]).not.toHaveProperty("sourceElo");
+    expect(conflictSetCalls[0]).not.toHaveProperty("rating");
   });
 
   it("is a no-op when given no inputs", async () => {
     await batchSaveFuturesOddsForSimulator([]);
-    expect(mockDb.transaction).not.toHaveBeenCalled();
+    expect(mockDb.insert).not.toHaveBeenCalled();
   });
 });

app/models/participant-expected-value.ts

@@ -393,10 +393,12 @@ export async function batchSaveSourceOdds(
       if (existing.length > 0) {
         await tx
           .update(seasonParticipantExpectedValues)
-          // Clear any stale Elo and mark the source as odds-driven so the
-          // simulator re-derives Elo from these odds and the elo-ratings page
-          // loader doesn't resurrect an outdated rating.
-          .set({ sourceOdds, sourceElo: null, source: "futures_odds", updatedAt: now })
+          // Persist the odds and label the source as odds-driven for display.
+          // We no longer null a stored Elo here: how much these odds move it is
+          // decided at run time by the season's blend weight
+          // (SimulatorInputPolicy.oddsWeight), and prepareSimulatorInputsForRun
+          // overwrites the resolved Elo before the simulator reads it.
+          .set({ sourceOdds, source: "futures_odds", updatedAt: now })
           .where(eq(seasonParticipantExpectedValues.id, existing[0].id));
       } else {
         // Insert a stub record — probabilities/EV will be filled in by the simulator

app/models/simulator.ts

@@ -1,4 +1,4 @@
-import { and, eq, inArray, sql } from "drizzle-orm";
+import { and, eq, inArray, isNotNull, sql } from "drizzle-orm";
 import { database } from "~/database/context";
 import * as schema from "~/database/schema";
 import {
@@ -8,6 +8,7 @@ import {
   type SimulatorManifestProfile,
 } from "~/services/simulations/manifest";
 import {
+  getSimulatorInputPolicy,
   ratingRequirementLabel,
   resolveRatings,
   resolveSourceElos,
@@ -82,6 +83,12 @@ export interface SportsSeasonSimulatorSummary {
   participantInputCount: number;
   lastSimulatedDate: string | null;
   readiness: SimulatorReadiness;
+  /** Whether this simulator exposes a Futures Odds setup section. */
+  supportsFuturesOdds: boolean;
+  /** Number of participants that currently have stored futures odds. */
+  oddsParticipantCount: number;
+  /** Weight (0–1) the season's policy gives futures odds when blending into Elo. */
+  oddsWeight: number;
 }
 
 function parseDecimal(value: string | null | undefined): number | null {
@@ -125,8 +132,8 @@ function isFallbackMethod(method: string): boolean {
   return method === "fallbackElo" || method === "fallbackRating" || method === "averageKnown" || method === "worstKnownMinus";
 }
 
-const GENERATED_RATING_METHODS = ["sourceOdds", "fallbackRating", "averageKnown", "worstKnownMinus"] as const;
-const GENERATED_SOURCE_ELO_METHODS = ["projectedWins", "projectedTablePoints", "sourceOdds", "fallbackElo", "averageKnown", "worstKnownMinus"] as const;
+const GENERATED_RATING_METHODS = ["sourceOdds", "blend", "fallbackRating", "averageKnown", "worstKnownMinus"] as const;
+const GENERATED_SOURCE_ELO_METHODS = ["projectedWins", "projectedTablePoints", "sourceOdds", "blend", "fallbackElo", "averageKnown", "worstKnownMinus"] as const;
 
 function isGeneratedRatingMethod(method: unknown): boolean {
   return typeof method === "string" && GENERATED_RATING_METHODS.includes(method as (typeof GENERATED_RATING_METHODS)[number]);
@@ -359,57 +366,32 @@ export async function batchSaveFuturesOddsForSimulator(
   if (inputs.length === 0) return;
   const db = database();
   const now = new Date();
-  const participantIds = inputs.map((input) => input.participantId);
-  const seasonIds = [...new Set(inputs.map((input) => input.sportsSeasonId))];
 
-  await db.transaction(async (tx) => {
-
-    // Clear ALL ratings AND sourceElo (both manual and generated) so the
-    // simulation re-derives them from the newly saved futures odds. For
-    // Elo-based simulators, a stale `sourceElo` (e.g. a manually entered
-    // "direct" Elo) would otherwise win the resolveSourceElos precedence and
-    // cause the futures odds to be silently ignored. Nulling it here lets the
-    // sourceOdds -> convertFuturesToElo branch drive the run.
-    await tx
-      .update(schema.seasonParticipantSimulatorInputs)
-      .set({
-        rating: null,
-        sourceElo: null,
-        metadata: sql`coalesce(${schema.seasonParticipantSimulatorInputs.metadata}, '{}'::jsonb) - 'ratingMethod' - 'sourceEloMethod'`,
+  // Persist the odds non-destructively. How much these odds move a stored
+  // Elo/rating is now governed by the season's blend weight (see resolveSourceElos
+  // / SimulatorInputPolicy.oddsWeight), so we no longer null out manually entered
+  // Elo here — that policy decides at run time.
+  await db
+    .insert(schema.seasonParticipantSimulatorInputs)
+    .values(
+      inputs.map((input) => ({
+        participantId: input.participantId,
+        sportsSeasonId: input.sportsSeasonId,
+        sourceOdds: input.sourceOdds,
+        createdAt: now,
         updatedAt: now,
-      })
-      .where(
-        and(
-          inArray(schema.seasonParticipantSimulatorInputs.sportsSeasonId, seasonIds),
-          inArray(schema.seasonParticipantSimulatorInputs.participantId, participantIds)
-        )
-      );
-
-    await tx
-      .insert(schema.seasonParticipantSimulatorInputs)
-      .values(
-        inputs.map((input) => ({
-          participantId: input.participantId,
-          sportsSeasonId: input.sportsSeasonId,
-          sourceOdds: input.sourceOdds,
-          createdAt: now,
-          updatedAt: now,
-        }))
-      )
-      .onConflictDoUpdate({
-        target: [
-          schema.seasonParticipantSimulatorInputs.participantId,
-          schema.seasonParticipantSimulatorInputs.sportsSeasonId,
-        ],
-        set: {
-          sourceOdds: sql`excluded.source_odds`,
-          rating: null,
-          sourceElo: null,
-          metadata: sql`coalesce(${schema.seasonParticipantSimulatorInputs.metadata}, '{}'::jsonb) - 'ratingMethod' - 'sourceEloMethod'`,
-          updatedAt: now,
-        },
-      });
-  });
+      }))
+    )
+    .onConflictDoUpdate({
+      target: [
+        schema.seasonParticipantSimulatorInputs.participantId,
+        schema.seasonParticipantSimulatorInputs.sportsSeasonId,
+      ],
+      set: {
+        sourceOdds: sql`excluded.source_odds`,
+        updatedAt: now,
+      },
+    });
 }
 
 export async function batchUpsertParticipantSimulatorInputs(
@@ -669,6 +651,23 @@ export async function listSportsSeasonSimulatorSummaries(): Promise<SportsSeason
     : [];
   const lastSnapshotBySeason = new Map(snapshotRows.map((row) => [row.sportsSeasonId, row.lastSimulatedDate]));
 
+  const oddsCountRows = seasonIds.length > 0
+    ? await db
+        .select({
+          sportsSeasonId: schema.seasonParticipantSimulatorInputs.sportsSeasonId,
+          oddsCount: sql<number>`count(*)::int`,
+        })
+        .from(schema.seasonParticipantSimulatorInputs)
+        .where(
+          and(
+            inArray(schema.seasonParticipantSimulatorInputs.sportsSeasonId, seasonIds),
+            isNotNull(schema.seasonParticipantSimulatorInputs.sourceOdds)
+          )
+        )
+        .groupBy(schema.seasonParticipantSimulatorInputs.sportsSeasonId)
+    : [];
+  const oddsCountBySeason = new Map(oddsCountRows.map((row) => [row.sportsSeasonId, Number(row.oddsCount)]));
+
   // Each season calls getSimulatorProfile + validateSimulatorReadiness (~4 queries each).
   // Acceptable for an admin-only page; revisit if season counts grow past ~50.
   const summaries = await Promise.all(
@@ -676,6 +675,8 @@ export async function listSportsSeasonSimulatorSummaries(): Promise<SportsSeason
       const simulatorType = (season.simulatorConfig?.simulatorType ?? season.sport.simulatorType) as SimulatorType;
       const profile = await getSimulatorProfile(simulatorType);
       const readiness = await validateSimulatorReadiness(season.id);
+      const mergedConfig = { ...profile.defaultConfig, ...(season.simulatorConfig?.config ?? {}) };
+      const policy = getSimulatorInputPolicy(mergedConfig);
       return {
         sportsSeasonId: season.id,
         seasonName: season.name,
@@ -693,6 +694,9 @@ export async function listSportsSeasonSimulatorSummaries(): Promise<SportsSeason
         participantInputCount: readiness.participantInputCount,
         lastSimulatedDate: lastSnapshotBySeason.get(season.id) ?? null,
         readiness,
+        supportsFuturesOdds: profile.setupSections.includes("futuresOdds"),
+        oddsParticipantCount: oddsCountBySeason.get(season.id) ?? 0,
+        oddsWeight: policy.oddsWeight,
       };
     })
   );

app/routes/admin.simulators.tsx

@@ -77,6 +77,12 @@ export async function action({ request }: Route.ActionArgs): Promise<ActionData>
   };
 }
 
+function futuresBlendLabel(oddsWeight: number): string {
+  if (oddsWeight >= 1) return "overrides Elo";
+  if (oddsWeight <= 0) return "Elo only";
+  return `${Math.round(oddsWeight * 100)}% blend`;
+}
+
 function statusBadge(status: string) {
   if (status === "ready") return <Badge className="gap-1"><CheckCircle2 className="h-3 w-3" /> Ready</Badge>;
   return <Badge variant="secondary" className="gap-1"><XCircle className="h-3 w-3" /> Needs setup</Badge>;
@@ -245,7 +251,14 @@ export default function AdminSimulators({ loaderData }: Route.ComponentProps) {
                       </div>
                     </TableCell>
                     <TableCell className="text-sm text-muted-foreground">
-                      {sim.participantInputCount}/{sim.participantCount}
+                      <div>{sim.participantInputCount}/{sim.participantCount}</div>
+                      {sim.supportsFuturesOdds && (
+                        <Badge variant={sim.oddsWeight > 0 ? "default" : "outline"} className="mt-1 text-xs font-normal">
+                          {sim.oddsParticipantCount > 0
+                            ? `Futures: ${sim.oddsParticipantCount} · ${futuresBlendLabel(sim.oddsWeight)}`
+                            : "No futures odds"}
+                        </Badge>
+                      )}
                     </TableCell>
                     <TableCell className="text-sm text-muted-foreground">
                       {sim.lastSimulatedDate ?? "Never"}
@@ -258,6 +271,11 @@ export default function AdminSimulators({ loaderData }: Route.ComponentProps) {
                             Setup
                           </Link>
                         </Button>
+                        {sim.supportsFuturesOdds && (
+                          <Button variant="ghost" size="sm" asChild>
+                            <Link to={`/admin/sports-seasons/${sim.sportsSeasonId}/futures-odds`}>Futures</Link>
+                          </Button>
+                        )}
                         <Button variant="ghost" size="sm" asChild>
                           <Link to={`/admin/sports-seasons/${sim.sportsSeasonId}/expected-values`}>EVs</Link>
                         </Button>

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

@@ -25,7 +25,11 @@ import {
   type UpsertParticipantSimulatorInput,
 } from "~/models/simulator";
 import { normalizeName } from "~/lib/fuzzy-match";
-import { getSimulatorInputPolicy, type MissingEloStrategy, type MissingRatingStrategy } from "~/services/simulations/input-policy";
+import {
+  getSimulatorInputPolicy,
+  type MissingEloStrategy,
+  type MissingRatingStrategy,
+} from "~/services/simulations/input-policy";
 import { runSportsSeasonSimulation } from "~/services/simulations/runner";
 
 export function meta({ data }: Route.MetaArgs): Route.MetaDescriptors {
@@ -205,6 +209,8 @@ export async function action({ request, params }: Route.ActionArgs): Promise<Act
         inputPolicy: {
           missingEloStrategy: parseMissingEloStrategy(formData.get("missingEloStrategy")),
           missingRatingStrategy: parseMissingRatingStrategy(formData.get("missingRatingStrategy")),
+          // Stored as-is; getSimulatorInputPolicy clamps to [0,1] on read.
+          oddsWeight: parsePolicyNumber(formData, "oddsWeight", currentPolicy.oddsWeight),
           fallbackElo: parsePolicyNumber(formData, "fallbackElo", currentPolicy.fallbackElo),
           fallbackEloDelta: parsePolicyNumber(formData, "fallbackEloDelta", currentPolicy.fallbackEloDelta),
           eloMin: parsePolicyNumber(formData, "eloMin", currentPolicy.eloMin),
@@ -361,6 +367,16 @@ export default function AdminSportsSeasonSimulator({ loaderData }: Route.Compone
           <CardContent>
             <Form method="post" className="grid gap-4 md:grid-cols-5">
               <input type="hidden" name="intent" value="save-input-policy" />
+              <div className="space-y-2 md:col-span-5">
+                <Label htmlFor="oddsWeight">Futures vs. Elo — Odds Blend Weight (0–1)</Label>
+                <Input id="oddsWeight" name="oddsWeight" type="number" step="0.05" min="0" max="1" defaultValue={inputPolicy.oddsWeight} />
+                <p className="text-xs text-muted-foreground">
+                  Every source (raw Elo, projections, futures odds) becomes an Elo, then they blend into
+                  the single Elo that feeds the simulator. This is the weight given to futures odds:
+                  <strong> 0</strong> = Elo / projections only, <strong>1</strong> = futures fully override,
+                  in between = blend (e.g. 0.3 = 70% Elo / 30% futures).
+                </p>
+              </div>
               {config.profile.requiredInputs.includes("sourceElo") && (
                 <>
                   <div className="space-y-2 md:col-span-2">

app/services/simulations/__tests__/input-policy.test.ts

@@ -1,5 +1,10 @@
 import { describe, expect, it } from "vitest";
-import { resolveRatings, resolveSourceElos } from "../input-policy";
+import {
+  getSimulatorInputPolicy,
+  resolveRatings,
+  resolveSourceElos,
+  DEFAULT_BASE_ELO_PRIORITY,
+} from "../input-policy";
 import type { SimulatorManifestProfile } from "../manifest";
 
 const profile = {
@@ -183,6 +188,113 @@ describe("simulator input policy", () => {
     expect(resolved.get("missing-tail")).toMatchObject({ rating: -10, method: "worstKnownMinus" });
   });
 
+  it("does not clamp a directly entered Elo above the policy ceiling", () => {
+    // Snooker/darts enter manual Elos well above the default 1900 ceiling and
+    // have no odds source — the direct value must pass through unclamped.
+    const eloOnlyProfile = {} as Pick<SimulatorManifestProfile, "derivableInputs">;
+    const resolved = resolveSourceElos(
+      [
+        { participantId: "ronnie", sourceElo: 2450, rating: null, sourceOdds: null, projectedWins: null, projectedTablePoints: null },
+        { participantId: "judd", sourceElo: 2300, rating: null, sourceOdds: null, projectedWins: null, projectedTablePoints: null },
+      ],
+      eloOnlyProfile,
+      {}
+    );
+
+    expect(resolved.get("ronnie")).toMatchObject({ sourceElo: 2450, method: "direct" });
+    expect(resolved.get("judd")).toMatchObject({ sourceElo: 2300, method: "direct" });
+  });
+
+  it("blends base Elo and futures odds into a single Elo by oddsWeight", () => {
+    const inputs = [
+      { participantId: "favorite", sourceElo: 1800, rating: null, sourceOdds: 300, projectedWins: null, projectedTablePoints: null },
+      { participantId: "longshot", sourceElo: 1200, rating: null, sourceOdds: 20000, projectedWins: null, projectedTablePoints: null },
+    ];
+
+    // oddsWeight 0: the stored base Elo wins outright.
+    const eloOnly = resolveSourceElos(inputs, profile, { inputPolicy: { oddsWeight: 0 } });
+    expect(eloOnly.get("favorite")).toMatchObject({ sourceElo: 1800, method: "direct" });
+
+    // oddsWeight 1: futures fully override the base Elo.
+    const oddsOnly = resolveSourceElos(inputs, profile, { inputPolicy: { oddsWeight: 1 } });
+    expect(oddsOnly.get("favorite")?.method).toBe("sourceOdds");
+    expect(oddsOnly.get("longshot")?.method).toBe("sourceOdds");
+
+    // Between: a blend that sits strictly between the base and the odds-derived Elo.
+    const oddsElo = oddsOnly.get("favorite")!.sourceElo;
+    const blended = resolveSourceElos(inputs, profile, { inputPolicy: { oddsWeight: 0.5 } });
+    expect(blended.get("favorite")?.method).toBe("blend");
+    const blendedElo = blended.get("favorite")!.sourceElo;
+    expect(blendedElo).toBeGreaterThan(Math.min(1800, oddsElo));
+    expect(blendedElo).toBeLessThan(Math.max(1800, oddsElo));
+    expect(blendedElo).toBeCloseTo(Math.round(0.5 * 1800 + 0.5 * oddsElo), 0);
+  });
+
+  it("blends projected wins with futures odds when both are present", () => {
+    const inputs = [
+      { participantId: "team-1", sourceElo: null, rating: null, sourceOdds: 300, projectedWins: 60, projectedTablePoints: null },
+      { participantId: "team-2", sourceElo: null, rating: null, sourceOdds: 20000, projectedWins: 20, projectedTablePoints: null },
+    ];
+
+    // oddsWeight 0: projectedWins is the base.
+    expect(resolveSourceElos(inputs, profile, { seasonGames: 82, inputPolicy: { oddsWeight: 0 } }).get("team-1")?.method)
+      .toBe("projectedWins");
+
+    // oddsWeight 1: futures override the projection.
+    expect(resolveSourceElos(inputs, profile, { seasonGames: 82, inputPolicy: { oddsWeight: 1 } }).get("team-1")?.method)
+      .toBe("sourceOdds");
+
+    // Between: blended.
+    expect(resolveSourceElos(inputs, profile, { seasonGames: 82, inputPolicy: { oddsWeight: 0.4 } }).get("team-1")?.method)
+      .toBe("blend");
+  });
+
+  it("blends a direct rating with futures odds by oddsWeight", () => {
+    const ratingProfile = { derivableInputs: { rating: ["sourceOdds"] } } as Pick<SimulatorManifestProfile, "derivableInputs">;
+    const inputs = [
+      { participantId: "favorite", sourceElo: null, rating: 30, sourceOdds: 300, projectedWins: null, projectedTablePoints: null },
+      { participantId: "longshot", sourceElo: null, rating: -5, sourceOdds: 20000, projectedWins: null, projectedTablePoints: null },
+    ];
+
+    // oddsWeight 0: direct rating wins.
+    expect(resolveRatings(inputs, ratingProfile, { inputPolicy: { ratingMin: -10, ratingMax: 35, oddsWeight: 0 } }).get("favorite"))
+      .toMatchObject({ rating: 30, method: "direct" });
+
+    // oddsWeight 1: odds override the rating.
+    expect(
+      resolveRatings(inputs, ratingProfile, {
+        inputPolicy: { ratingMin: -10, ratingMax: 35, oddsWeight: 1 },
+      }).get("favorite")?.method
+    ).toBe("sourceOdds");
+
+    // Between: blended.
+    expect(
+      resolveRatings(inputs, ratingProfile, {
+        inputPolicy: { ratingMin: -10, ratingMax: 35, oddsWeight: 0.5 },
+      }).get("favorite")?.method
+    ).toBe("blend");
+  });
+
+  it("parses and clamps the base Elo priority and odds weight", () => {
+    const defaults = getSimulatorInputPolicy({});
+    expect(defaults.baseEloPriority).toEqual(DEFAULT_BASE_ELO_PRIORITY);
+    expect(defaults.oddsWeight).toBe(0.3);
+
+    // oddsWeight lives under inputPolicy and is clamped to [0, 1]; a top-level
+    // config.oddsWeight is ignored (single home); junk base-priority entries drop.
+    expect(getSimulatorInputPolicy({ inputPolicy: { oddsWeight: 0.6 } }).oddsWeight).toBe(0.6);
+    expect(getSimulatorInputPolicy({ oddsWeight: 0.6 }).oddsWeight).toBe(0.3);
+    expect(getSimulatorInputPolicy({ inputPolicy: { oddsWeight: 5 } }).oddsWeight).toBe(1);
+    expect(getSimulatorInputPolicy({ inputPolicy: { oddsWeight: -2 } }).oddsWeight).toBe(0);
+    expect(
+      getSimulatorInputPolicy({ inputPolicy: { baseEloPriority: ["projectedWins", "sourceOdds", "sourceElo"] } }).baseEloPriority
+    ).toEqual(["projectedWins", "sourceElo"]);
+    // An empty/all-invalid priority falls back to the default.
+    expect(getSimulatorInputPolicy({ inputPolicy: { baseEloPriority: ["nope"] } }).baseEloPriority).toEqual(
+      DEFAULT_BASE_ELO_PRIORITY
+    );
+  });
+
   it("uses NCAAW-style rating scale when deriving and falling back", () => {
     const resolved = resolveRatings(
       [

app/services/simulations/__tests__/manifest.test.ts

@@ -2,6 +2,7 @@ import { describe, expect, it } from "vitest";
 import * as schema from "~/database/schema";
 import { SIMULATOR_MANIFEST } from "../manifest";
 import { SIMULATOR_TYPES } from "../registry";
+import { getSimulatorInputPolicy } from "../input-policy";
 import { assertRegistrySchemaDriftFree } from "~/models/simulator";
 
 describe("simulator manifest", () => {
@@ -40,6 +41,17 @@ describe("simulator manifest", () => {
     }
   });
 
+  it("exposes the per-profile futures blend weight through the input policy", () => {
+    expect(getSimulatorInputPolicy(SIMULATOR_MANIFEST.ncaa_football_bracket.defaultConfig).oddsWeight).toBe(0.4);
+    expect(getSimulatorInputPolicy(SIMULATOR_MANIFEST.world_cup.defaultConfig).oddsWeight).toBe(0.3);
+    expect(getSimulatorInputPolicy(SIMULATOR_MANIFEST.ucl_bracket.defaultConfig).oddsWeight).toBe(0.3);
+    // College hockey blends odds internally, so the central blend is disabled.
+    expect(getSimulatorInputPolicy(SIMULATOR_MANIFEST.college_hockey_bracket.defaultConfig).oddsWeight).toBe(0);
+    // Every profile resolves to the default base-Elo priority unless overridden.
+    expect(getSimulatorInputPolicy(SIMULATOR_MANIFEST.nba_bracket.defaultConfig).baseEloPriority)
+      .toEqual(["sourceElo", "projectedWins", "projectedTablePoints"]);
+  });
+
   it("keeps EPL projection and match parity as separate config knobs", () => {
     expect(SIMULATOR_MANIFEST.epl_standings.defaultConfig).toMatchObject({
       parityFactor: 400,

app/services/simulations/__tests__/ncaa-football-simulator.test.ts

@@ -143,8 +143,9 @@ describe("NCAAFootballSimulator", () => {
       }
     });
 
-    it("uses futures odds when sourceOdds present", async () => {
-      setupMockDb(TEAM_IDS, { includeOdds: true });
+    it("runs from the resolved Elo (futures already blended upstream)", async () => {
+      // sourceElo is the single resolved Elo; the sim no longer reads sourceOdds.
+      setupMockDb(TEAM_IDS);
       const results = await new NCAAFootballSimulator().simulate("season-1");
       expect(results).toHaveLength(12);
       const total = results.reduce((s, r) => s + r.probabilities.probFirst, 0);

app/services/simulations/__tests__/runner.test.ts

@@ -21,9 +21,12 @@ vi.mock("~/models/ev-snapshot", () => ({
 vi.mock("~/models/scoring-calculator", () => ({
   recalculateStandings: vi.fn(),
 }));
-vi.mock("~/services/simulations/registry", () => ({
-  getSimulator: vi.fn(),
-}));
+vi.mock("~/services/simulations/registry", async (importOriginal) => {
+  // Keep the real SIMULATOR_TYPES / getSimulatorInfo so the manifest (pulled in
+  // transitively via input-policy) can build; only stub getSimulator.
+  const actual = await importOriginal<typeof import("~/services/simulations/registry")>();
+  return { ...actual, getSimulator: vi.fn() };
+});
 vi.mock("~/services/simulations/simulation-probabilities", () => ({
   normalizeSimulationResultColumns: vi.fn(),
 }));

app/services/simulations/input-policy.ts

@@ -5,9 +5,39 @@ import { logger } from "~/lib/logger";
 export type MissingEloStrategy = "block" | "fallbackElo" | "averageKnown" | "worstKnownMinus";
 export type MissingRatingStrategy = "block" | "fallbackRating" | "averageKnown" | "worstKnownMinus";
 
+/**
+ * "Base" strength sources — the ways to produce a participant's underlying Elo
+ * before any futures-odds blend. These are *substitutes* (a season rarely has
+ * more than one), so they are tried in order and the first available one wins.
+ * Futures odds are not in this list: they blend on top of the base Elo via
+ * `oddsWeight`, rather than being one more interchangeable base.
+ */
+export type BaseEloKey = "sourceElo" | "projectedWins" | "projectedTablePoints";
+
+export const BASE_ELO_KEYS: readonly BaseEloKey[] = [
+  "sourceElo",
+  "projectedWins",
+  "projectedTablePoints",
+];
+
+/** Default order for choosing the base Elo: raw Elo, then projections. */
+export const DEFAULT_BASE_ELO_PRIORITY: BaseEloKey[] = [
+  "sourceElo",
+  "projectedWins",
+  "projectedTablePoints",
+];
+
 export interface SimulatorInputPolicy {
   missingEloStrategy: MissingEloStrategy;
   missingRatingStrategy: MissingRatingStrategy;
+  /** Order for choosing the base strength Elo from its substitutable sources. */
+  baseEloPriority: BaseEloKey[];
+  /**
+   * Weight (0–1) of the futures-odds-derived Elo when blending with the base Elo
+   * into the single Elo that feeds every simulator. `0` = base only (Elo /
+   * projections), `1` = futures fully override the base, in between = blend.
+   */
+  oddsWeight: number;
   fallbackElo: number;
   fallbackEloDelta: number;
   eloMin: number;
@@ -30,18 +60,22 @@ export interface ParticipantInputForPolicy {
 export interface ResolvedSourceElo {
   participantId: string;
   sourceElo: number;
-  method: "direct" | "projectedWins" | "projectedTablePoints" | "sourceOdds" | MissingEloStrategy;
+  method: "direct" | "projectedWins" | "projectedTablePoints" | "sourceOdds" | "blend" | MissingEloStrategy;
 }
 
 export interface ResolvedRating {
   participantId: string;
   rating: number;
-  method: "direct" | "sourceOdds" | MissingRatingStrategy;
+  method: "direct" | "sourceOdds" | "blend" | MissingRatingStrategy;
 }
 
+const DEFAULT_ODDS_WEIGHT = 0.3;
+
 const DEFAULT_POLICY: SimulatorInputPolicy = {
   missingEloStrategy: "block",
   missingRatingStrategy: "block",
+  baseEloPriority: DEFAULT_BASE_ELO_PRIORITY,
+  oddsWeight: DEFAULT_ODDS_WEIGHT,
   fallbackElo: 1400,
   fallbackEloDelta: 25,
   eloMin: 1100,
@@ -80,6 +114,19 @@ function projectionToElo(
   return clamp(Math.round(elo), policy.eloMin, policy.eloMax);
 }
 
+function parseBaseEloPriority(value: unknown, fallback: BaseEloKey[]): BaseEloKey[] {
+  if (!Array.isArray(value)) return fallback;
+  const seen = new Set<BaseEloKey>();
+  const parsed: BaseEloKey[] = [];
+  for (const entry of value) {
+    if (typeof entry === "string" && (BASE_ELO_KEYS as readonly string[]).includes(entry) && !seen.has(entry as BaseEloKey)) {
+      seen.add(entry as BaseEloKey);
+      parsed.push(entry as BaseEloKey);
+    }
+  }
+  return parsed.length > 0 ? parsed : fallback;
+}
+
 export function getSimulatorInputPolicy(config: Record<string, unknown>): SimulatorInputPolicy {
   const rawPolicy = isRecord(config.inputPolicy) ? config.inputPolicy : {};
   const eloStrategy = rawPolicy.missingEloStrategy;
@@ -94,6 +141,9 @@ export function getSimulatorInputPolicy(config: Record<string, unknown>): Simula
       ratingStrategy === "fallbackRating" || ratingStrategy === "averageKnown" || ratingStrategy === "worstKnownMinus"
         ? ratingStrategy
         : "block",
+    baseEloPriority: parseBaseEloPriority(rawPolicy.baseEloPriority, DEFAULT_POLICY.baseEloPriority),
+    // The futures blend weight lives only under inputPolicy (single home).
+    oddsWeight: clamp(optionalNumber(rawPolicy.oddsWeight, DEFAULT_POLICY.oddsWeight), 0, 1),
     fallbackElo: optionalNumber(rawPolicy.fallbackElo, DEFAULT_POLICY.fallbackElo),
     fallbackEloDelta: optionalNumber(rawPolicy.fallbackEloDelta, DEFAULT_POLICY.fallbackEloDelta),
     eloMin: optionalNumber(rawPolicy.eloMin, DEFAULT_POLICY.eloMin),
@@ -118,6 +168,32 @@ export function ratingRequirementLabel(profile: SimulatorManifestProfile): strin
   return ["rating", ...alternatives.map(simulatorInputLabel)].join(" / ");
 }
 
+/**
+ * Combine a participant's base strength value and its odds-derived value into the
+ * single value that feeds the simulator, by `oddsWeight`: 0 = base only,
+ * 1 = odds only, in between = weighted blend. Odds-derived and blended results
+ * pass through `clampDerived` (they are mapped onto the configured band by
+ * design); a base value is returned untouched (a directly entered Elo/rating is
+ * trusted as-is, a projection-derived Elo was already clamped upstream). Returns
+ * undefined when neither source is present (the caller falls back to its
+ * missing-input strategy). Shared by Elo and rating resolution.
+ */
+function blendBaseAndOdds<M extends string>(
+  base: { value: number; method: M } | undefined,
+  odds: number | undefined,
+  oddsWeight: number,
+  clampDerived: (value: number) => number
+): { value: number; method: M | "sourceOdds" | "blend" } | undefined {
+  if (base !== undefined && odds !== undefined) {
+    if (oddsWeight <= 0) return { value: base.value, method: base.method };
+    if (oddsWeight >= 1) return { value: clampDerived(odds), method: "sourceOdds" };
+    return { value: clampDerived((1 - oddsWeight) * base.value + oddsWeight * odds), method: "blend" };
+  }
+  if (base !== undefined) return { value: base.value, method: base.method };
+  if (odds !== undefined) return { value: clampDerived(odds), method: "sourceOdds" };
+  return undefined;
+}
+
 export function resolveSourceElos(
   inputs: ParticipantInputForPolicy[],
   profile: Pick<SimulatorManifestProfile, "derivableInputs">,
@@ -128,68 +204,83 @@ export function resolveSourceElos(
   const alternatives = new Set(profile.derivableInputs?.sourceElo ?? []);
   const parityFactor = optionalNumber(config.parityFactor, 400);
 
-  for (const input of inputs) {
-    if (input.sourceElo !== null && input.sourceElo !== undefined) {
-      resolved.set(input.participantId, {
-        participantId: input.participantId,
-        sourceElo: input.sourceElo,
-        method: "direct",
-      });
-    }
-  }
-
-  if (alternatives.has("projectedWins")) {
-    const seasonGames = optionalNumber(config.seasonGames, Math.max(...inputs.map((input) => input.projectedWins ?? 0), 1));
-    for (const input of inputs) {
-      if (resolved.has(input.participantId) || input.projectedWins === null || input.projectedWins === undefined) continue;
-      resolved.set(input.participantId, {
-        participantId: input.participantId,
-        sourceElo: projectionToElo(input.projectedWins, seasonGames, parityFactor, policy),
-        method: "projectedWins",
-      });
-    }
-  }
-
-  if (alternatives.has("projectedTablePoints")) {
-    const seasonGames = optionalNumber(config.seasonGames, 38);
-    const maxPoints = optionalNumber(config.maxTablePoints, seasonGames * 3);
-    for (const input of inputs) {
-      if (resolved.has(input.participantId) || input.projectedTablePoints === null || input.projectedTablePoints === undefined) continue;
-      resolved.set(input.participantId, {
-        participantId: input.participantId,
-        sourceElo: projectionToElo(input.projectedTablePoints, maxPoints, parityFactor, policy),
-        method: "projectedTablePoints",
-      });
+  // 1. Base Elo: the first available *substitutable* source per baseEloPriority.
+  //    `sourceElo` (raw) is always permitted; projections must be declared in
+  //    the profile's derivableInputs.sourceElo.
+  const baseElo = new Map<string, { elo: number; method: ResolvedSourceElo["method"] }>();
+  for (const source of policy.baseEloPriority) {
+    if (source !== "sourceElo" && !alternatives.has(source)) continue;
+
+    if (source === "sourceElo") {
+      for (const input of inputs) {
+        if (baseElo.has(input.participantId)) continue;
+        if (input.sourceElo !== null && input.sourceElo !== undefined) {
+          baseElo.set(input.participantId, { elo: input.sourceElo, method: "direct" });
+        }
+      }
+    } else if (source === "projectedWins") {
+      const seasonGames = optionalNumber(config.seasonGames, Math.max(...inputs.map((input) => input.projectedWins ?? 0), 1));
+      for (const input of inputs) {
+        if (baseElo.has(input.participantId) || input.projectedWins === null || input.projectedWins === undefined) continue;
+        baseElo.set(input.participantId, {
+          elo: projectionToElo(input.projectedWins, seasonGames, parityFactor, policy),
+          method: "projectedWins",
+        });
+      }
+    } else if (source === "projectedTablePoints") {
+      const seasonGames = optionalNumber(config.seasonGames, 38);
+      const maxPoints = optionalNumber(config.maxTablePoints, seasonGames * 3);
+      for (const input of inputs) {
+        if (baseElo.has(input.participantId) || input.projectedTablePoints === null || input.projectedTablePoints === undefined) continue;
+        baseElo.set(input.participantId, {
+          elo: projectionToElo(input.projectedTablePoints, maxPoints, parityFactor, policy),
+          method: "projectedTablePoints",
+        });
+      }
     }
   }
 
+  // 2. Odds-derived Elo (field-relative): only when futures odds are a permitted
+  //    source and at least two participants have odds (a spread is required).
+  const oddsElo = new Map<string, number>();
   if (alternatives.has("sourceOdds")) {
-    // Note: participants resolved above via direct Elo are excluded here, so a
-    // season can end up mixing direct Elo and odds-derived Elo. Those two
-    // scales are not jointly calibrated — odds map onto eloMin/eloMax via
-    // convertFuturesToElo independently of any direct values. This is
-    // pre-existing behavior of the mixed input case and intentionally left as-is.
     const oddsInputs = inputs
-      .filter((input) => !resolved.has(input.participantId) && input.sourceOdds !== null && input.sourceOdds !== undefined)
+      .filter((input) => input.sourceOdds !== null && input.sourceOdds !== undefined)
       .map((input) => ({ participantId: input.participantId, odds: input.sourceOdds as number }));
     if (oddsInputs.length === 1) {
       logger.warn(
         `resolveSourceElos: only 1 participant has sourceOdds (${oddsInputs[0].participantId}). ` +
-        `convertFuturesToElo requires at least 2 to derive a meaningful Elo spread — falling through to missing-Elo strategy.`
+        `convertFuturesToElo requires at least 2 to derive a meaningful Elo spread — ignoring the lone odds value.`
       );
     }
     if (oddsInputs.length >= 2) {
-      const converted = convertFuturesToElo(oddsInputs);
-      for (const [participantId, elo] of converted) {
-        resolved.set(participantId, {
-          participantId,
-          sourceElo: clamp(Math.round(elo), policy.eloMin, policy.eloMax),
-          method: "sourceOdds",
-        });
+      for (const [participantId, elo] of convertFuturesToElo(oddsInputs)) {
+        oddsElo.set(participantId, elo);
       }
     }
   }
 
+  // 3. Blend base + odds into the single Elo that feeds the simulator.
+  //    Directly entered Elos (some sports use ratings above the default ceiling,
+  //    e.g. snooker ~2450) pass through unclamped; only derived values are
+  //    clamped onto [eloMin, eloMax].
+  const clampDerived = (elo: number): number => clamp(Math.round(elo), policy.eloMin, policy.eloMax);
+  for (const input of inputs) {
+    const base = baseElo.get(input.participantId);
+    const blended = blendBaseAndOdds(
+      base ? { value: base.elo, method: base.method } : undefined,
+      oddsElo.get(input.participantId),
+      policy.oddsWeight,
+      clampDerived
+    );
+    if (!blended) continue;
+    resolved.set(input.participantId, {
+      participantId: input.participantId,
+      sourceElo: blended.value,
+      method: blended.method,
+    });
+  }
+
   const knownElos = [...resolved.values()].map((value) => value.sourceElo);
   const averageKnown = knownElos.length > 0
     ? knownElos.reduce((sum, elo) => sum + elo, 0) / knownElos.length
@@ -227,24 +318,25 @@ export function resolveRatings(
   const resolved = new Map<string, ResolvedRating>();
   const alternatives = new Set(profile.derivableInputs?.rating ?? []);
 
+  // Ratings follow the same single-value blend as Elo: the base is the direct
+  // `rating`; futures odds (when permitted, scaled onto the rating range) blend
+  // on top by oddsWeight. `0` = rating only, `1` = futures override.
+  const baseRating = new Map<string, number>();
   for (const input of inputs) {
     if (input.rating !== null && input.rating !== undefined) {
-      resolved.set(input.participantId, {
-        participantId: input.participantId,
-        rating: input.rating,
-        method: "direct",
-      });
+      baseRating.set(input.participantId, input.rating);
     }
   }
 
+  const oddsRating = new Map<string, number>();
   if (alternatives.has("sourceOdds")) {
     const oddsInputs = inputs
-      .filter((input) => !resolved.has(input.participantId) && input.sourceOdds !== null && input.sourceOdds !== undefined)
+      .filter((input) => input.sourceOdds !== null && input.sourceOdds !== undefined)
       .map((input) => ({ participantId: input.participantId, odds: input.sourceOdds as number }));
     if (oddsInputs.length === 1) {
       logger.warn(
         `resolveRatings: only 1 participant has sourceOdds (${oddsInputs[0].participantId}). ` +
-        `convertFuturesToElo requires at least 2 to derive a meaningful rating — falling through to missing-rating strategy.`
+        `convertFuturesToElo requires at least 2 to derive a meaningful rating — ignoring the lone odds value.`
       );
     }
     if (oddsInputs.length >= 2) {
@@ -254,15 +346,30 @@ export function resolveRatings(
         eloMax: policy.ratingMax,
       });
       for (const [participantId, rating] of converted) {
-        resolved.set(participantId, {
-          participantId,
-          rating: clamp(rating, policy.ratingMin, policy.ratingMax),
-          method: "sourceOdds",
-        });
+        oddsRating.set(participantId, rating);
       }
     }
   }
 
+  // As with Elo: a directly entered rating passes through untouched; only
+  // derived values are clamped onto the rating band.
+  const clampDerived = (rating: number): number => clamp(rating, policy.ratingMin, policy.ratingMax);
+  for (const input of inputs) {
+    const base = baseRating.get(input.participantId);
+    const blended = blendBaseAndOdds(
+      base !== undefined ? { value: base, method: "direct" as const } : undefined,
+      oddsRating.get(input.participantId),
+      policy.oddsWeight,
+      clampDerived
+    );
+    if (!blended) continue;
+    resolved.set(input.participantId, {
+      participantId: input.participantId,
+      rating: blended.value,
+      method: blended.method,
+    });
+  }
+
   const knownRatings = [...resolved.values()].map((value) => value.rating);
   const averageKnown = knownRatings.length > 0
     ? knownRatings.reduce((sum, rating) => sum + rating, 0) / knownRatings.length

app/services/simulations/manifest.ts

@@ -66,9 +66,10 @@ const PROFILES: Record<SimulatorType, Omit<SimulatorManifestProfile, "simulatorT
     setupSections: ["participants", "futuresOdds", "bracket"],
   },
   ucl_bracket: {
-    defaultConfig: { ...BASE_CONFIG, eloWeight: 0.7, oddsWeight: 0.3 },
-    requiredInputs: ["sourceOdds"],
-    optionalInputs: ["sourceElo"],
+    defaultConfig: { ...BASE_CONFIG, inputPolicy: { oddsWeight: 0.3 } },
+    requiredInputs: ["sourceElo"],
+    optionalInputs: ["sourceOdds"],
+    derivableInputs: { sourceElo: ["sourceOdds"] },
     setupSections: ["participants", "futuresOdds", "bracket"],
   },
   ncaam_bracket: {
@@ -142,7 +143,7 @@ const PROFILES: Record<SimulatorType, Omit<SimulatorManifestProfile, "simulatorT
     setupSections: ["participants", "surfaceElo", "events"],
   },
   mlb_bracket: {
-    defaultConfig: { ...BASE_CONFIG, rDiffWeight: 0.7, oddsWeight: 0.3, seasonGames: 162 },
+    defaultConfig: { ...BASE_CONFIG, seasonGames: 162, inputPolicy: { oddsWeight: 0.3 } },
     requiredInputs: ["sourceElo"],
     optionalInputs: ["sourceOdds", "projectedWins"],
     derivableInputs: { sourceElo: ["projectedWins", "sourceOdds"] },
@@ -156,7 +157,7 @@ const PROFILES: Record<SimulatorType, Omit<SimulatorManifestProfile, "simulatorT
     setupSections: ["participants", "eloRatings", "regularStandings"],
   },
   world_cup: {
-    defaultConfig: { ...BASE_CONFIG, iterations: 10_000, eloWeight: 0.7, oddsWeight: 0.3 },
+    defaultConfig: { ...BASE_CONFIG, iterations: 10_000, inputPolicy: { oddsWeight: 0.3 } },
     requiredInputs: ["sourceElo"],
     optionalInputs: ["sourceOdds", "worldRanking"],
     derivableInputs: { sourceElo: ["sourceOdds"] },
@@ -175,7 +176,7 @@ const PROFILES: Record<SimulatorType, Omit<SimulatorManifestProfile, "simulatorT
     setupSections: ["participants", "eloRatings", "rankings", "cs2Setup", "events"],
   },
   ncaa_football_bracket: {
-    defaultConfig: { ...BASE_CONFIG, bracketSize: 12, eloWeight: 0.6, oddsWeight: 0.4 },
+    defaultConfig: { ...BASE_CONFIG, bracketSize: 12, inputPolicy: { oddsWeight: 0.4 } },
     requiredInputs: ["sourceElo"],
     optionalInputs: ["sourceOdds", "worldRanking"],
     derivableInputs: { sourceElo: ["sourceOdds"] },
@@ -188,7 +189,12 @@ const PROFILES: Record<SimulatorType, Omit<SimulatorManifestProfile, "simulatorT
     setupSections: ["participants", "futuresOdds"],
   },
   college_hockey_bracket: {
-    defaultConfig: { ...BASE_CONFIG, bracketSize: 16, parityFactor: 850 },
+    // College hockey blends odds into Elo internally (and also uses NPI rank,
+    // which the central resolver can't represent). oddsWeight 0 makes the central
+    // resolver leave a present base Elo untouched (no double-count), while still
+    // letting odds resolve a participant's Elo when they are the only source — so
+    // readiness and the sim's own internal odds blend both keep working.
+    defaultConfig: { ...BASE_CONFIG, bracketSize: 16, parityFactor: 850, inputPolicy: { oddsWeight: 0 } },
     requiredInputs: ["sourceElo"],
     optionalInputs: ["sourceOdds", "worldRanking"],
     derivableInputs: { sourceElo: ["sourceOdds"] },

app/services/simulations/mlb-simulator.ts

@@ -75,10 +75,6 @@ import { eq } from "drizzle-orm";
 import * as schema from "~/database/schema";
 import type { Simulator, SimulationResult } from "./types";
 import { logger } from "~/lib/logger";
-import {
-  convertAmericanOddsToProbability,
-  normalizeProbabilities,
-} from "~/services/probability-engine";
 import { getRegularSeasonStandings } from "~/models/regular-season-standings";
 
 // ─── Simulation parameters ────────────────────────────────────────────────────
@@ -103,12 +99,6 @@ const RDIF_DIVISOR = 8000;
  */
 const SEEDING_RDIF_SCALE = 1620;
 
-/**
- * Blend weights for RDif vs. Vegas futures odds when sourceOdds are available.
- */
-const RDIF_WEIGHT  = 0.7;
-const ODDS_WEIGHT = 1 - RDIF_WEIGHT;
-
 // ─── Team data (2026 pre-season — FanGraphs Depth Charts) ────────────────────
 //
 // rdif: Projected run differential from FanGraphs Depth Charts.
@@ -521,33 +511,19 @@ export class MLBSimulator implements Simulator {
       );
     }
 
-    // ─── Futures odds blending ─────────────────────────────────────────────────
+    // ─── Strength from the resolved Elo ────────────────────────────────────────
+    // sourceElo is the single Elo produced by the input policy — already a blend
+    // of any raw Elo / projections / futures odds — so the simulator just reads it
+    // and no longer blends odds itself.
 
     const evRows = await db
       .select({
         participantId: schema.seasonParticipantExpectedValues.participantId,
-        sourceOdds: schema.seasonParticipantExpectedValues.sourceOdds,
         sourceElo: schema.seasonParticipantExpectedValues.sourceElo,
       })
       .from(schema.seasonParticipantExpectedValues)
       .where(eq(schema.seasonParticipantExpectedValues.sportsSeasonId, sportsSeasonId));
 
-    const oddsRows = evRows.filter(
-      (r) => r.sourceOdds !== null && participantIdSet.has(r.participantId)
-    );
-    const hasOdds = oddsRows.length > 0;
-
-    const normalizedOddsMap = new Map<string, number>();
-    if (hasOdds) {
-      const rawProbs = oddsRows.map((r) =>
-        convertAmericanOddsToProbability(r.sourceOdds ?? 0)
-      );
-      const normalized = normalizeProbabilities(rawProbs);
-      oddsRows.forEach(({ participantId }, i) => {
-        normalizedOddsMap.set(participantId, normalized[i]);
-      });
-    }
-
     // Build a map of sourceElo-derived RDif values (overrides hardcoded TEAMS_DATA.rdif)
     // for playoff series win probability.
     const sourceEloRDifMap = new Map<string, number>();
@@ -575,20 +551,11 @@ export class MLBSimulator implements Simulator {
       rawWinRateMap.get(entry.id) ?? rawWinRateFromRDif(getEntryRDif(entry));
 
     /**
-     * Blended per-game win probability for team A over team B in a playoff series.
-     * When odds are available: 70% RDif log5 + 30% vig-removed futures head-to-head.
+     * Per-game win probability for team A over team B in a playoff series, from
+     * the (resolved-Elo-derived) run differential.
      */
-    const gameWinProb = (a: TeamEntry, b: TeamEntry): number => {
-      const rdifProb = rdifWinProbability(effectiveRDif(a), effectiveRDif(b));
-      if (!hasOdds) return rdifProb;
-
-      const o1 = normalizedOddsMap.get(a.id);
-      const o2 = normalizedOddsMap.get(b.id);
-      // Fall back to RDif if either team lacks odds — avoids inflating one side to 100%.
-      if (o1 === null || o1 === undefined || o2 === null || o2 === undefined) return rdifProb;
-      const oddsProb = o1 + o2 > 0 ? o1 / (o1 + o2) : 0.5;
-      return RDIF_WEIGHT * rdifProb + ODDS_WEIGHT * oddsProb;
-    };
+    const gameWinProb = (a: TeamEntry, b: TeamEntry): number =>
+      rdifWinProbability(effectiveRDif(a), effectiveRDif(b));
 
     // ─── Placement count maps ──────────────────────────────────────────────────
 

app/services/simulations/ncaa-football-simulator.ts

@@ -59,11 +59,7 @@
 import { database } from "~/database/context";
 import { eq } from "drizzle-orm";
 import * as schema from "~/database/schema";
-import {
-  convertAmericanOddsToProbability,
-  convertFuturesToElo,
-  eloWinProbability,
-} from "~/services/probability-engine";
+import { eloWinProbability } from "~/services/probability-engine";
 import type { Simulator, SimulationResult } from "./types";
 
 // ─── Simulation parameters ────────────────────────────────────────────────────
@@ -72,15 +68,7 @@ const NUM_SIMULATIONS = 50_000;
 const BRACKET_SIZE = 12;
 
 /**
- * Blend weights for per-game win probability when sourceOdds are present.
- * Lower Elo weight than other sports (0.7) gives more influence to Vegas
- * championship odds, which are highly informative in college football.
- */
-const ELO_WEIGHT = 0.6;
-const ODDS_WEIGHT = 1 - ELO_WEIGHT;
-
-/**
- * Softmax temperature for Elo-based selection weights (pre-bracket mode, no odds).
+ * Softmax temperature for Elo-based selection weights (pre-bracket mode).
  * At T=100, a 200-point Elo gap produces ~7× weight difference — enough to strongly
  * favour the top teams while still giving bubble teams meaningful selection probability.
  */
@@ -90,37 +78,21 @@ const SELECTION_TEMP = 100;
 
 interface Team {
   participantId: string;
+  /** Single resolved Elo (already a blend of any raw Elo/FPI and futures odds). */
   elo: number;
-  /** Normalized futures win probability (0–1). Used for blending per-game win prob. */
-  oddsProb: number;
-  /**
-   * Weight used for probabilistic CFP field selection (pre-bracket mode only).
-   * Derived from oddsProb when available; otherwise softmax on Elo.
-   */
+  /** Weight used for probabilistic CFP field selection (pre-bracket mode only). */
   selectionWeight: number;
 }
 
 // ─── Helpers ─────────────────────────────────────────────────────────────────
 
-/**
- * Blended win probability for team1 vs team2.
- * Falls back to pure Elo when no futures data is present.
- */
-function blendedWinProb(team1: Team, team2: Team): number {
-  const eloProbValue = eloWinProbability(team1.elo, team2.elo);
-
-  if (team1.oddsProb === 0 && team2.oddsProb === 0) {
-    return eloProbValue;
-  }
-
-  const oddsSum = team1.oddsProb + team2.oddsProb;
-  const oddsProbValue = oddsSum > 0 ? team1.oddsProb / oddsSum : 0.5;
-
-  return ELO_WEIGHT * eloProbValue + ODDS_WEIGHT * oddsProbValue;
+/** Win probability for team1 vs team2 from the single resolved Elo. */
+function gameWinProb(team1: Team, team2: Team): number {
+  return eloWinProbability(team1.elo, team2.elo);
 }
 
 function simGame(team1: Team, team2: Team): { winner: Team; loser: Team } {
-  const p1Wins = Math.random() < blendedWinProb(team1, team2);
+  const p1Wins = Math.random() < gameWinProb(team1, team2);
   return p1Wins
     ? { winner: team1, loser: team2 }
     : { winner: team2, loser: team1 };
@@ -211,7 +183,6 @@ function simulateBracket(teams: Team[], counts: Map<string, PlacementCounts>): v
 export class NCAAFootballSimulator implements Simulator {
   async simulate(sportsSeasonId: string): Promise<SimulationResult[]> {
     const db = database();
-
     // 1. Load all participants for this sports season.
     const participants = await db
       .select({ id: schema.seasonParticipants.id })
@@ -225,79 +196,35 @@ export class NCAAFootballSimulator implements Simulator {
       );
     }
 
-    // 2. Load Elo/FPI ratings and optional futures odds in a single query.
+    // 2. Load the resolved single Elo (the input policy already blended any
+    //    raw Elo/FPI and futures odds into sourceElo before the run).
     const evRows = await db
       .select({
         participantId: schema.seasonParticipantExpectedValues.participantId,
         sourceElo: schema.seasonParticipantExpectedValues.sourceElo,
-        sourceOdds: schema.seasonParticipantExpectedValues.sourceOdds,
       })
       .from(schema.seasonParticipantExpectedValues)
       .where(eq(schema.seasonParticipantExpectedValues.sportsSeasonId, sportsSeasonId));
 
-    // Build Elo and raw odds maps in a single pass.
     const eloFromDb = new Map<string, number>();
-    const rawOddsProbs = new Map<string, number>();
-
     for (const row of evRows) {
       if (row.sourceElo !== null) {
         eloFromDb.set(row.participantId, row.sourceElo);
       }
-      if (row.sourceOdds !== null) {
-        rawOddsProbs.set(row.participantId, convertAmericanOddsToProbability(row.sourceOdds));
-      }
     }
 
-    // 3. Build normalized odds probability map (vig removed).
-    const normalizedOddsMap = new Map<string, number>();
-
-    if (rawOddsProbs.size > 0) {
-      const rawSum = [...rawOddsProbs.values()].reduce((a, b) => a + b, 0);
-      for (const [id, prob] of rawOddsProbs) {
-        normalizedOddsMap.set(id, rawSum > 0 ? prob / rawSum : 0);
-      }
-
-      // Backfill Elo from futures for any team missing sourceElo.
-      if (eloFromDb.size < participants.length) {
-        const oddsInput = evRows
-          .filter((r) => r.sourceOdds !== null && !eloFromDb.has(r.participantId))
-          .map((r) => ({ participantId: r.participantId, odds: r.sourceOdds ?? 0 }));
-
-        if (oddsInput.length > 0) {
-          const oddsEloMap = convertFuturesToElo(oddsInput, "american");
-          for (const [id, elo] of oddsEloMap) {
-            eloFromDb.set(id, elo);
-          }
-        }
-      }
-    }
-
-    // 4. Build team list with Elo, oddsProb, and selectionWeight.
-    const hasOdds = normalizedOddsMap.size > 0;
-
+    // 3. Build team list; field-selection weight is a softmax on the resolved Elo.
     const allTeams: Team[] = participants.map((p) => ({
       participantId: p.id,
       elo: eloFromDb.get(p.id) ?? 1500,
-      oddsProb: normalizedOddsMap.get(p.id) ?? 0,
       selectionWeight: 0, // computed below
     }));
 
-    if (hasOdds) {
-      // Selection weight = normalized championship implied probability.
-      // This encodes both "probability of making the field" and "strength once there."
-      for (const team of allTeams) {
-        team.selectionWeight = normalizedOddsMap.get(team.participantId) ?? 0;
-      }
-    } else {
-      // No odds: softmax on Elo so top-rated teams are strongly favoured.
-      const eloValues = allTeams.map((t) => t.elo);
-      const maxElo = Math.max(...eloValues);
-      // Subtract max for numerical stability before exp().
-      const expWeights = allTeams.map((t) => Math.exp((t.elo - maxElo) / SELECTION_TEMP));
-      const expSum = expWeights.reduce((a, b) => a + b, 0);
-      for (let i = 0; i < allTeams.length; i++) {
-        allTeams[i].selectionWeight = expWeights[i] / expSum;
-      }
+    const maxElo = Math.max(...allTeams.map((t) => t.elo));
+    const expWeights = allTeams.map((t) => Math.exp((t.elo - maxElo) / SELECTION_TEMP));
+    const expSum = expWeights.reduce((a, b) => a + b, 0);
+    for (let i = 0; i < allTeams.length; i++) {
+      allTeams[i].selectionWeight = expSum > 0 ? expWeights[i] / expSum : 1 / allTeams.length;
     }
 
     const preBracketMode = participants.length > BRACKET_SIZE;

app/services/simulations/types.ts

@@ -29,6 +29,10 @@ export interface SimulationResult {
 
 /**
  * Common interface all sport simulators must implement.
+ *
+ * Simulators consume a single resolved Elo per participant (already blended from
+ * its sources — raw Elo, projections, futures odds — by the input policy and
+ * persisted before the run), so they need only the season id.
  */
 export interface Simulator {
   simulate(sportsSeasonId: string): Promise<SimulationResult[]>;

app/services/simulations/ucl-simulator.ts

@@ -37,20 +37,13 @@
 import { database } from "~/database/context";
 import { eq, and } from "drizzle-orm";
 import * as schema from "~/database/schema";
-import { convertFuturesToElo, eloWinProbability } from "~/services/probability-engine";
+import { eloWinProbability } from "~/services/probability-engine";
 import type { Simulator, SimulationResult } from "./types";
 
 // ─── Simulation parameters ────────────────────────────────────────────────────
 
 const NUM_SIMULATIONS = 50000;
 
-/**
- * Weight given to the Elo-based win probability (derived from futures).
- * Remaining weight (1 - ELO_WEIGHT) goes to the normalized futures odds component.
- */
-const ELO_WEIGHT = 0.7;
-const ODDS_WEIGHT = 1 - ELO_WEIGHT;
-
 // ─── Odds helper ──────────────────────────────────────────────────────────────
 
 /** Convert American odds to implied probability (with vig). Exported for testing. */
@@ -142,52 +135,26 @@ export class UCLSimulator implements Simulator {
       participantIds.push(m.participant1Id ?? "", m.participant2Id ?? "");
     }
     const participantSet = new Set(participantIds);
-    const fallbackProb = 1 / participantIds.length;
 
-    // 5. Load futures odds from participantExpectedValues.
+    // 5. Load the resolved single Elo (input policy already blended any raw Elo
+    //    and futures odds into sourceElo before the run).
     const evRows = await db
       .select({
         participantId: schema.seasonParticipantExpectedValues.participantId,
-        sourceOdds: schema.seasonParticipantExpectedValues.sourceOdds,
+        sourceElo: schema.seasonParticipantExpectedValues.sourceElo,
       })
       .from(schema.seasonParticipantExpectedValues)
       .where(eq(schema.seasonParticipantExpectedValues.sportsSeasonId, sportsSeasonId));
 
-    const evMap = new Map(evRows.map((r) => [r.participantId, r]));
-
-    // 6. Build Elo map via the futures → Elo pipeline.
-    const hasOdds = evRows.some(
-      (r) => r.sourceOdds !== null && participantSet.has(r.participantId)
-    );
-
-    let eloMap: Map<string, number>;
-    if (hasOdds) {
-      const oddsInput = evRows
-        .filter((r) => r.sourceOdds !== null && participantSet.has(r.participantId))
-        .map((r) => ({ participantId: r.participantId, odds: r.sourceOdds ?? 0 }));
-      eloMap = convertFuturesToElo(oddsInput, "american");
-    } else {
-      // No odds stored — all teams get equal Elo (coin-flip bracket)
-      eloMap = new Map(participantIds.map((id) => [id, 1500]));
+    // 6. Build the Elo map; teams without a resolved Elo fall back to 1500.
+    const eloMap = new Map<string, number>(participantIds.map((id) => [id, 1500]));
+    for (const r of evRows) {
+      if (r.sourceElo !== null && r.sourceElo !== undefined && participantSet.has(r.participantId)) {
+        eloMap.set(r.participantId, r.sourceElo);
+      }
     }
 
-    // 7. Build normalized futures win-probability map (vig removed).
-    //    Used as the second signal in the blended per-match probability.
-    const rawProbs = new Map<string, number>();
-    for (const id of participantIds) {
-      const ev = evMap.get(id);
-      rawProbs.set(
-        id,
-        ev !== undefined && ev.sourceOdds !== null && ev.sourceOdds !== undefined ? americanToImpliedProb(ev.sourceOdds) : fallbackProb
-      );
-    }
-    const rawSum = [...rawProbs.values()].reduce((a, b) => a + b, 0);
-    const normalizedOddsMap = new Map<string, number>();
-    for (const [id, prob] of rawProbs) {
-      normalizedOddsMap.set(id, prob / rawSum);
-    }
-
-    // 8. Build per-round lookup maps keyed by matchNumber for O(1) access in the hot loop.
+    // 7. Build per-round lookup maps keyed by matchNumber for O(1) access in the hot loop.
     const r16ByNum = new Map(r16Matches.map((m) => [m.matchNumber, m]));
     const qfByNum = new Map(qfMatches.map((m) => [m.matchNumber, m]));
     const sfByNum = new Map(sfMatches.map((m) => [m.matchNumber, m]));
@@ -195,17 +162,11 @@ export class UCLSimulator implements Simulator {
 
     // ─── Helpers ──────────────────────────────────────────────────────────────
 
-    /** Blended Elo + normalized-odds win probability for p1 vs p2. */
+    /** Pure-Elo win probability for p1 vs p2 (single resolved Elo per team). */
     const blendedWinProb = (p1: string, p2: string): number => {
       const elo1 = eloMap.get(p1) ?? 1500;
       const elo2 = eloMap.get(p2) ?? 1500;
-      const eloProb = eloWinProbability(elo1, elo2);
-
-      const o1 = normalizedOddsMap.get(p1) ?? fallbackProb;
-      const o2 = normalizedOddsMap.get(p2) ?? fallbackProb;
-      const oddsProb = o1 + o2 > 0 ? o1 / (o1 + o2) : 0.5;
-
-      return ELO_WEIGHT * eloProb + ODDS_WEIGHT * oddsProb;
+      return eloWinProbability(elo1, elo2);
     };
 
     const simMatch = (p1: string, p2: string): { winner: string; loser: string } => {

app/services/simulations/world-cup-simulator.ts

@@ -38,7 +38,7 @@
 import { database } from "~/database/context";
 import { eq, and } from "drizzle-orm";
 import * as schema from "~/database/schema";
-import { convertFuturesToElo, eloWinProbability } from "~/services/probability-engine";
+import { eloWinProbability } from "~/services/probability-engine";
 import { simulateEloSoccerMatch } from "./soccer-helpers";
 import { normalizeSimulationResultColumns } from "./simulation-probabilities";
 import { logger } from "~/lib/logger";
@@ -55,8 +55,6 @@ function normalizeTeamName(name: string): string {
 // ─── Parameters ──────────────────────────────────────────────────────────────
 
 const NUM_SIMULATIONS = 10_000;
-const ELO_WEIGHT = 0.7;
-const ODDS_WEIGHT = 1 - ELO_WEIGHT;
 
 /** Base draw rate when teams are evenly matched. Decays with Elo difference. */
 const BASE_DRAW_RATE = 0.28;
@@ -274,13 +272,10 @@ function sortTeams(a: TeamStats, b: TeamStats): number {
 function simKnockout(
   teamA: string,
   teamB: string,
-  eloFn: (id: string) => number,
-  normalizedProb: (id: string) => number
+  eloFn: (id: string) => number
 ): { winner: string; loser: string } {
-  const eloProb = eloWinProbability(eloFn(teamA), eloFn(teamB));
-  const oddsProb = normalizedProb(teamA);
-  const blended = ELO_WEIGHT * eloProb + ODDS_WEIGHT * (0.5 + (oddsProb - 0.5));
-  const winner = Math.random() < blended ? teamA : teamB;
+  const winProb = eloWinProbability(eloFn(teamA), eloFn(teamB));
+  const winner = Math.random() < winProb ? teamA : teamB;
   return { winner, loser: winner === teamA ? teamB : teamA };
 }
 
@@ -318,8 +313,7 @@ function runKnockoutRoundByNumber(
   roundName: string,
   matches: Map<number, KnockoutMatch>,
   completed: Map<string, { winnerId: string; loserId: string }>,
-  eloFn: (id: string) => number,
-  normalizedProb: (id: string) => number
+  eloFn: (id: string) => number
 ): {
   winnersByNumber: Map<number, string>;
   losersByNumber: Map<number, string>;
@@ -348,7 +342,7 @@ function runKnockoutRoundByNumber(
       winnerId = fixed.winnerId;
       loserId = fixed.loserId;
     } else if (m.p1 && m.p2) {
-      const result = simKnockout(m.p1, m.p2, eloFn, normalizedProb);
+      const result = simKnockout(m.p1, m.p2, eloFn);
       winnerId = result.winner;
       loserId = result.loser;
     } else if (m.p1 || m.p2) {
@@ -461,20 +455,19 @@ export class WorldCupSimulator implements Simulator {
     const participantIds = participantRows.map((p) => p.id);
     const participantNames = new Map(participantRows.map((p) => [p.id, p.name]));
 
-    // 2. Load stored ratings (sourceElo from Elo page, sourceOdds from futures page)
+    // 2. Load the resolved single Elo (the input policy already blended any raw
+    //    Elo and futures odds into sourceElo before the run).
     const evRows = await db
       .select({
         participantId: schema.seasonParticipantExpectedValues.participantId,
-        sourceOdds: schema.seasonParticipantExpectedValues.sourceOdds,
         sourceElo: schema.seasonParticipantExpectedValues.sourceElo,
       })
       .from(schema.seasonParticipantExpectedValues)
       .where(eq(schema.seasonParticipantExpectedValues.sportsSeasonId, sportsSeasonId));
 
-    const evMap = new Map(evRows.map((r) => [r.participantId, r]));
     const participantSet = new Set(participantIds);
 
-    // 3. Build Elo map — priority: sourceElo (direct) > sourceOdds (converted) > hardcoded
+    // 3. Build the Elo map — resolved sourceElo, else hardcoded national-team Elo.
     const sourceEloMap = new Map<string, number>();
     for (const r of evRows) {
       if (r.sourceElo !== null && r.sourceElo !== undefined && participantSet.has(r.participantId)) {
@@ -482,47 +475,13 @@ export class WorldCupSimulator implements Simulator {
       }
     }
 
-    const hasOdds = evRows.some(
-      (r) => r.sourceOdds !== null && participantSet.has(r.participantId)
-    );
-
-    let eloFromOdds: Map<string, number>;
-    if (hasOdds) {
-      const oddsInput = evRows
-        .filter((r) => r.sourceOdds !== null && participantSet.has(r.participantId))
-        .map((r) => ({ participantId: r.participantId, odds: r.sourceOdds ?? 0 }));
-      eloFromOdds = convertFuturesToElo(oddsInput, "american");
-    } else {
-      eloFromOdds = new Map();
-    }
-
     const eloFn = (id: string): number => {
       if (sourceEloMap.has(id)) return sourceEloMap.get(id) ?? 1500;
-      if (eloFromOdds.has(id)) return eloFromOdds.get(id) ?? 1500;
       const name = participantNames.get(id) ?? "";
       return getTeamElo(name, 1500);
     };
 
-    // 4. Build normalized futures win-probability map (vig removed)
-    const rawProbs = new Map<string, number>();
-    for (const id of participantIds) {
-      const ev = evMap.get(id);
-      if (ev?.sourceOdds !== null && ev?.sourceOdds !== undefined) {
-        rawProbs.set(id, Math.abs(ev.sourceOdds) > 0
-          ? ev.sourceOdds > 0
-            ? 100 / (ev.sourceOdds + 100)
-            : Math.abs(ev.sourceOdds) / (Math.abs(ev.sourceOdds) + 100)
-          : 1 / participantIds.length);
-      } else {
-        rawProbs.set(id, 1 / participantIds.length);
-      }
-    }
-
-    const totalRawProb = [...rawProbs.values()].reduce((s, p) => s + p, 0);
-    const normalizedProb = (id: string): number =>
-      totalRawProb > 0 ? (rawProbs.get(id) ?? 0) / totalRawProb : 1 / participantIds.length;
-
-    // 5. Resolve the bracket scoring event. Prefer a fifa_48 playoff event; if
+    // 4. Resolve the bracket scoring event. Prefer a fifa_48 playoff event; if
     //    several playoff_game events exist, take the most recent so a re-created
     //    event wins over a stale one.
     const playoffEvents = await db.query.scoringEvents.findMany({
@@ -714,10 +673,10 @@ export class WorldCupSimulator implements Simulator {
       // ── Knockout rounds ──────────────────────────────────────────
       // R32 → R16 → QF → SF → Third Place Game + Final, advancing via the
       // canonical ceil(n/2) tree. Completed matches lock in real results.
-      const r32 = runKnockoutRoundByNumber(R32, buildR32(), completedByRoundAndNumber, eloFn, normalizedProb);
-      const r16 = runKnockoutRoundByNumber(R16, r32.nextRound, completedByRoundAndNumber, eloFn, normalizedProb);
-      const qf = runKnockoutRoundByNumber(QF, r16.nextRound, completedByRoundAndNumber, eloFn, normalizedProb);
-      const sf = runKnockoutRoundByNumber(SF, qf.nextRound, completedByRoundAndNumber, eloFn, normalizedProb);
+      const r32 = runKnockoutRoundByNumber(R32, buildR32(), completedByRoundAndNumber, eloFn);
+      const r16 = runKnockoutRoundByNumber(R16, r32.nextRound, completedByRoundAndNumber, eloFn);
+      const qf = runKnockoutRoundByNumber(QF, r16.nextRound, completedByRoundAndNumber, eloFn);
+      const sf = runKnockoutRoundByNumber(SF, qf.nextRound, completedByRoundAndNumber, eloFn);
 
       // QF losers (placements 5–8)
       for (const id of qf.losersByNumber.values()) {
@@ -734,7 +693,7 @@ export class WorldCupSimulator implements Simulator {
           counts.fourthPlace.set(fixed3pg.loserId, (counts.fourthPlace.get(fixed3pg.loserId) ?? 0) + 1);
         } else {
           const { winner: thirdWinner, loser: thirdLoser } = simKnockout(
-            sf1Loser, sf2Loser, eloFn, normalizedProb
+            sf1Loser, sf2Loser, eloFn
           );
           counts.thirdPlace.set(thirdWinner, (counts.thirdPlace.get(thirdWinner) ?? 0) + 1);
           counts.fourthPlace.set(thirdLoser, (counts.fourthPlace.get(thirdLoser) ?? 0) + 1);
@@ -751,7 +710,7 @@ export class WorldCupSimulator implements Simulator {
           counts.runnerUp.set(fixedFinal.loserId, (counts.runnerUp.get(fixedFinal.loserId) ?? 0) + 1);
         } else {
           const { winner: champion, loser: runnerUp } = simKnockout(
-            sfWinner1, sfWinner2, eloFn, normalizedProb
+            sfWinner1, sfWinner2, eloFn
           );
           counts.champion.set(champion, (counts.champion.get(champion) ?? 0) + 1);
           counts.runnerUp.set(runnerUp, (counts.runnerUp.get(runnerUp) ?? 0) + 1);