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

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feat: implement Expected Value System with ICM probability calculator Implements Phase 5.2 of the EV system with Harville-Malmuth Independent Chip Model for calculating participant placement probabilities from futures odds. ## Key Features ### ICM Probability Calculator - Implements Harville-Malmuth method for distributing probabilities - Converts American odds to championship probabilities - Generates P(1st) through P(8th) for all participants - Column-normalized: each placement sums to 100% across all teams - Works with any number of participants (not limited to 8) ### Admin UI - Futures Odds Entry - Enter American odds (e.g., +550, -200) for championship futures - Live preview of ICM-calculated probability distributions - Displays all 8 placement probabilities - Persists odds for editing on subsequent visits - Automatic probability normalization (removes bookmaker vig) ### Database Schema Updates - Renamed participant_expected_values.season_id → sports_season_id - Updated foreign key to reference sports_seasons instead of seasons - Added source_odds field to store original futures odds - Migration 0025: Column rename and FK update - Migration 0026: Add source_odds field ### Model Layer - participant-expected-value: CRUD operations for probability distributions - Supports multiple probability sources (manual, futures_odds, elo_simulation) - Automatic EV calculation based on league scoring rules - Probability validation and normalization ### Service Layer - icm-calculator: Harville-Malmuth probability distribution - probability-engine: Odds conversion and Elo utilities (for future use) - bracket-simulator: Monte Carlo simulation (for future hybrid approach) - ev-calculator: Expected value computation from probabilities ## Technical Details - Uses exponential decay favoring top positions for strong teams - Preserves championship probability ordering in final distributions - Row sums vary (strong teams ~100%, weak teams lower) - All probabilities between 0-1, mathematically valid - Comprehensive test suite: 97 tests passing ## Future Enhancements - Hybrid approach: ICM pre-playoffs, bracket simulation during playoffs - Integration with league-specific scoring rules - Historical probability tracking for accuracy analysis 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-17 22:19:46 -08:00
import { Form, redirect, useLoaderData, useActionData, useNavigation } from 'react-router';
import type { Route } from './+types/admin.sports-seasons.$id.futures-odds';
import { logger } from '~/lib/logger';
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>
2026-03-09 15:34:31 -07:00
import { findSportsSeasonById, updateSportsSeason } from '~/models/sports-season';
Canonical tournament layer: schema + backfill (1/2) (#365) * refactor(schema): rename per-window tables to season_* prefix Renames participants, participant_expected_values, participant_qualifying_totals, participant_results, participant_surface_elos to season_* prefixed names. Renames event_results.participant_id to season_participant_id. Phase 1a of canonical tournament layer migration. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * refactor: rename participant.ts model file to season-participant.ts Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * refactor(models): update model layer to use renamed schema exports Updated all model files to use the renamed schema exports from Task 1: - participants → seasonParticipants - participantExpectedValues → seasonParticipantExpectedValues - participantQualifyingTotals → seasonParticipantQualifyingTotals - participantResults → seasonParticipantResults - participantSurfaceElos → seasonParticipantSurfaceElos - eventResults.participantId → eventResults.seasonParticipantId - db.query relation accessors updated - Relation field .participant → .seasonParticipant where applicable - Import paths updated: ./participant → ./season-participant Files updated (14 model files + 3 test files): - draft-pick.ts - draft-utils.ts - event-result.ts - group-stage-match.ts - participant-result.ts - qualifying-points.ts - scoring-calculator.ts - scoring-event.ts - sports-season.ts - surface-elo.ts - team-score-events.ts - cs2-major-stage.ts - golf-skills.ts - participant-expected-value.ts - __tests__/sports-season.clone.test.ts - __tests__/auto-pick.test.ts - __tests__/executeAutoPick.timer.test.ts Typecheck errors decreased: 779 → 499 (280 fewer) All model file errors related to renamed schemas resolved. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * refactor(routes): update route layer to use renamed schema exports - Update model import from ~/models/participant to ~/models/season-participant - Rename schema.participants to schema.seasonParticipants - Rename schema.participantResults to schema.seasonParticipantResults - Rename db.query.participants to db.query.seasonParticipants - Update 9 route files and 1 test file Affected files: - admin.sports-seasons.$id.events.$eventId.bracket.server.ts - admin.sports-seasons.$id.participants.tsx - api/draft.force-manual-pick.ts - api/draft.make-pick.ts - api/draft.replace-pick.ts - api/seasons.$seasonId.draft.ts - leagues/$leagueId.draft-board.$seasonId.tsx - leagues/$leagueId.sports-seasons.$sportsSeasonId.server.ts - admin/__tests__/sports-seasons-participants.test.ts Error count reduced from 499 to 453 (46 errors fixed). Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * refactor(routes): update route files for schema rename Update route imports from ~/models/participant to ~/models/season-participant and fix references to .participant/.participantId on event results to use .seasonParticipant/.seasonParticipantId after schema rename. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * refactor(services): update simulators and services for renamed schema Update all simulators, services, and server files to use renamed schema tables: - participants → seasonParticipants - participantExpectedValues → seasonParticipantExpectedValues - participantResults → seasonParticipantResults - eventResults.participantId → eventResults.seasonParticipantId Files updated: - 20 sport simulators (NBA, NHL, NFL, MLB, etc.) - probability-updater.ts - standings-sync/index.ts - sports-data-sync.server.ts - server/socket.ts Typecheck errors reduced from 365 to 0. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * migration: rename per-window tables to season_* prefix * fix(tests): update mock query keys after participants table rename Change mock db.query.participants to db.query.seasonParticipants in test files to match the schema rename from commit 66145a9. This fixes "Cannot read properties of undefined (reading 'findFirst'/'findMany')" errors that occurred when production code queries db.query.seasonParticipants but test mocks only defined the old participants key. Files updated: - app/services/simulations/__tests__/world-cup-simulator.test.ts - app/routes/api/__tests__/draft.force-manual-pick.test.ts - app/routes/api/__tests__/draft.force-manual-pick.timer-mode.test.ts - app/routes/api/__tests__/draft.make-pick.timer-mode.test.ts - server/__tests__/timer-autodraft.test.ts - app/models/__tests__/team-score-events.test.ts Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * fix(tests): update remaining mock paths and keys after schema rename * fix(tests): final two mock stragglers after schema rename - draft-pick.test.ts: assertion on db.query.participantQualifyingTotals - process-match-result.test.ts: mock key participants → seasonParticipants Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * chore: add post-phase1a baseline capture (temp, for diff verification) * chore: capture pre-migration baselines * chore: remove post-phase1a capture helper after verification * schema: add canonical tournament & participant tables Adds tournaments, participants (canonical), tournament_results, and participant_surface_elos (canonical). Adds nullable tournament_id to scoring_events and nullable participant_id to season_participants. Phase 1b of canonical tournament layer migration. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * feat(models): add canonical tournament, participant, result, surface-elo models Adds CRUD modules for the canonical tables created in commit 775b905. Each module mirrors existing app/models conventions (database() from ~/database/context, schema from ~/database/schema, mock-based tests). Key implementation notes: - participant.ts exports use "Canonical" prefix (CanonicalParticipant, createCanonicalParticipant, etc.) to avoid collision with existing season-participant.ts exports - All four models include comprehensive unit tests following the audit-log.test.ts pattern - Tests use mocked db responses (no real database access) - Upsert functions use onConflictDoUpdate for appropriate unique constraints Part of Phase 1b of canonical tournament layer migration. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * migration: create canonical tables, add nullable FKs * scripts: add extractTournamentIdentity helper for backfill Pure function that derives canonical (name, year) identity from a scoring_events row, stripping trailing 4-digit years from the name or falling back to eventDate. Used by the Phase 2 backfill to group per-window events into canonical tournaments. * scripts: add backfill orchestrator for canonical layer Populates canonical tournaments, participants, tournament_results, and participant_surface_elos from per-window data for qualifying-points sports. Skips already-linked rows, is idempotent, and supports dry-run mode. Critical invariants enforced by the implementation: - qualifying_points_awarded is never copied to tournament_results - season_participant_qualifying_totals is never touched - conflicting surface-Elo values between windows raise a loud error (recorded in report.errors) rather than overwriting * scripts: add backfill CLI with dry-run default Wires backfill-canonical-layer.ts to a CLI entry point exposed as `npm run backfill:canonical`. Defaults to --dry-run; requires --apply to actually write. Supports --sport=<uuid> to limit to a single sport. Exits 2 if the backfill reports errors (e.g., surface-Elo conflicts). * fix(backfill-cli): wrap runBackfill in DatabaseContext.run The orchestrator uses database() from ~/database/context, which requires AsyncLocalStorage to be populated. Wrap the CLI invocation with DatabaseContext.run(db, ...) using server/db's cached connection pool. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * fix(backfill-cli): exit 0 on success so pg pool doesn't block The cached postgres connection pool keeps the Node event loop open after main() returns. Explicit process.exit(0) on success mirrors the pattern in scripts/capture-baseline.ts. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> --------- Co-authored-by: Chris Parsons <chrisp@extrahop.com> Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-01 20:13:18 -07:00
import { findParticipantsBySportsSeasonId } from '~/models/season-participant';
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>
2026-03-09 15:34:31 -07:00
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';
feat: implement Expected Value System with ICM probability calculator Implements Phase 5.2 of the EV system with Harville-Malmuth Independent Chip Model for calculating participant placement probabilities from futures odds. ## Key Features ### ICM Probability Calculator - Implements Harville-Malmuth method for distributing probabilities - Converts American odds to championship probabilities - Generates P(1st) through P(8th) for all participants - Column-normalized: each placement sums to 100% across all teams - Works with any number of participants (not limited to 8) ### Admin UI - Futures Odds Entry - Enter American odds (e.g., +550, -200) for championship futures - Live preview of ICM-calculated probability distributions - Displays all 8 placement probabilities - Persists odds for editing on subsequent visits - Automatic probability normalization (removes bookmaker vig) ### Database Schema Updates - Renamed participant_expected_values.season_id → sports_season_id - Updated foreign key to reference sports_seasons instead of seasons - Added source_odds field to store original futures odds - Migration 0025: Column rename and FK update - Migration 0026: Add source_odds field ### Model Layer - participant-expected-value: CRUD operations for probability distributions - Supports multiple probability sources (manual, futures_odds, elo_simulation) - Automatic EV calculation based on league scoring rules - Probability validation and normalization ### Service Layer - icm-calculator: Harville-Malmuth probability distribution - probability-engine: Odds conversion and Elo utilities (for future use) - bracket-simulator: Monte Carlo simulation (for future hybrid approach) - ev-calculator: Expected value computation from probabilities ## Technical Details - Uses exponential decay favoring top positions for strong teams - Preserves championship probability ordering in final distributions - Row sums vary (strong teams ~100%, weak teams lower) - All probabilities between 0-1, mathematically valid - Comprehensive test suite: 97 tests passing ## Future Enhancements - Hybrid approach: ICM pre-playoffs, bracket simulation during playoffs - Integration with league-specific scoring rules - Historical probability tracking for accuracy analysis 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-17 22:19:46 -08:00
import { Button } from '~/components/ui/button';
import { Input } from '~/components/ui/input';
import { Label } from '~/components/ui/label';
import { Textarea } from '~/components/ui/textarea';
feat: implement Expected Value System with ICM probability calculator Implements Phase 5.2 of the EV system with Harville-Malmuth Independent Chip Model for calculating participant placement probabilities from futures odds. ## Key Features ### ICM Probability Calculator - Implements Harville-Malmuth method for distributing probabilities - Converts American odds to championship probabilities - Generates P(1st) through P(8th) for all participants - Column-normalized: each placement sums to 100% across all teams - Works with any number of participants (not limited to 8) ### Admin UI - Futures Odds Entry - Enter American odds (e.g., +550, -200) for championship futures - Live preview of ICM-calculated probability distributions - Displays all 8 placement probabilities - Persists odds for editing on subsequent visits - Automatic probability normalization (removes bookmaker vig) ### Database Schema Updates - Renamed participant_expected_values.season_id → sports_season_id - Updated foreign key to reference sports_seasons instead of seasons - Added source_odds field to store original futures odds - Migration 0025: Column rename and FK update - Migration 0026: Add source_odds field ### Model Layer - participant-expected-value: CRUD operations for probability distributions - Supports multiple probability sources (manual, futures_odds, elo_simulation) - Automatic EV calculation based on league scoring rules - Probability validation and normalization ### Service Layer - icm-calculator: Harville-Malmuth probability distribution - probability-engine: Odds conversion and Elo utilities (for future use) - bracket-simulator: Monte Carlo simulation (for future hybrid approach) - ev-calculator: Expected value computation from probabilities ## Technical Details - Uses exponential decay favoring top positions for strong teams - Preserves championship probability ordering in final distributions - Row sums vary (strong teams ~100%, weak teams lower) - All probabilities between 0-1, mathematically valid - Comprehensive test suite: 97 tests passing ## Future Enhancements - Hybrid approach: ICM pre-playoffs, bracket simulation during playoffs - Integration with league-specific scoring rules - Historical probability tracking for accuracy analysis 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-17 22:19:46 -08:00
import {
Card,
CardContent,
CardDescription,
CardHeader,
CardTitle,
} from '~/components/ui/card';
import { useState } from 'react';
import { Loader2, Info, CheckCircle2, AlertCircle } from 'lucide-react';
feat: implement Expected Value System with ICM probability calculator Implements Phase 5.2 of the EV system with Harville-Malmuth Independent Chip Model for calculating participant placement probabilities from futures odds. ## Key Features ### ICM Probability Calculator - Implements Harville-Malmuth method for distributing probabilities - Converts American odds to championship probabilities - Generates P(1st) through P(8th) for all participants - Column-normalized: each placement sums to 100% across all teams - Works with any number of participants (not limited to 8) ### Admin UI - Futures Odds Entry - Enter American odds (e.g., +550, -200) for championship futures - Live preview of ICM-calculated probability distributions - Displays all 8 placement probabilities - Persists odds for editing on subsequent visits - Automatic probability normalization (removes bookmaker vig) ### Database Schema Updates - Renamed participant_expected_values.season_id → sports_season_id - Updated foreign key to reference sports_seasons instead of seasons - Added source_odds field to store original futures odds - Migration 0025: Column rename and FK update - Migration 0026: Add source_odds field ### Model Layer - participant-expected-value: CRUD operations for probability distributions - Supports multiple probability sources (manual, futures_odds, elo_simulation) - Automatic EV calculation based on league scoring rules - Probability validation and normalization ### Service Layer - icm-calculator: Harville-Malmuth probability distribution - probability-engine: Odds conversion and Elo utilities (for future use) - bracket-simulator: Monte Carlo simulation (for future hybrid approach) - ev-calculator: Expected value computation from probabilities ## Technical Details - Uses exponential decay favoring top positions for strong teams - Preserves championship probability ordering in final distributions - Row sums vary (strong teams ~100%, weak teams lower) - All probabilities between 0-1, mathematically valid - Comprehensive test suite: 97 tests passing ## Future Enhancements - Hybrid approach: ICM pre-playoffs, bracket simulation during playoffs - Integration with league-specific scoring rules - Historical probability tracking for accuracy analysis 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-17 22:19:46 -08:00
export function meta({ data }: Route.MetaArgs): Route.MetaDescriptors {
return [{ title: `Futures Odds — ${data?.sportsSeason?.name ?? "Sports Season"} - Brackt Admin` }];
}
feat: implement Expected Value System with ICM probability calculator Implements Phase 5.2 of the EV system with Harville-Malmuth Independent Chip Model for calculating participant placement probabilities from futures odds. ## Key Features ### ICM Probability Calculator - Implements Harville-Malmuth method for distributing probabilities - Converts American odds to championship probabilities - Generates P(1st) through P(8th) for all participants - Column-normalized: each placement sums to 100% across all teams - Works with any number of participants (not limited to 8) ### Admin UI - Futures Odds Entry - Enter American odds (e.g., +550, -200) for championship futures - Live preview of ICM-calculated probability distributions - Displays all 8 placement probabilities - Persists odds for editing on subsequent visits - Automatic probability normalization (removes bookmaker vig) ### Database Schema Updates - Renamed participant_expected_values.season_id → sports_season_id - Updated foreign key to reference sports_seasons instead of seasons - Added source_odds field to store original futures odds - Migration 0025: Column rename and FK update - Migration 0026: Add source_odds field ### Model Layer - participant-expected-value: CRUD operations for probability distributions - Supports multiple probability sources (manual, futures_odds, elo_simulation) - Automatic EV calculation based on league scoring rules - Probability validation and normalization ### Service Layer - icm-calculator: Harville-Malmuth probability distribution - probability-engine: Odds conversion and Elo utilities (for future use) - bracket-simulator: Monte Carlo simulation (for future hybrid approach) - ev-calculator: Expected value computation from probabilities ## Technical Details - Uses exponential decay favoring top positions for strong teams - Preserves championship probability ordering in final distributions - Row sums vary (strong teams ~100%, weak teams lower) - All probabilities between 0-1, mathematically valid - Comprehensive test suite: 97 tests passing ## Future Enhancements - Hybrid approach: ICM pre-playoffs, bracket simulation during playoffs - Integration with league-specific scoring rules - Historical probability tracking for accuracy analysis 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-17 22:19:46 -08:00
export async function loader({ params }: Route.LoaderArgs) {
const sportsSeasonId = params.id;
const sportsSeason = await findSportsSeasonById(sportsSeasonId);
if (!sportsSeason) {
throw new Response('Sports season not found', { status: 404 });
}
const participants = await findParticipantsBySportsSeasonId(sportsSeasonId);
const existingEVs = await getAllParticipantEVsForSeason(sportsSeasonId);
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>
2026-03-09 15:34:31 -07:00
// Show any saved odds regardless of what simulation ran afterwards
feat: implement Expected Value System with ICM probability calculator Implements Phase 5.2 of the EV system with Harville-Malmuth Independent Chip Model for calculating participant placement probabilities from futures odds. ## Key Features ### ICM Probability Calculator - Implements Harville-Malmuth method for distributing probabilities - Converts American odds to championship probabilities - Generates P(1st) through P(8th) for all participants - Column-normalized: each placement sums to 100% across all teams - Works with any number of participants (not limited to 8) ### Admin UI - Futures Odds Entry - Enter American odds (e.g., +550, -200) for championship futures - Live preview of ICM-calculated probability distributions - Displays all 8 placement probabilities - Persists odds for editing on subsequent visits - Automatic probability normalization (removes bookmaker vig) ### Database Schema Updates - Renamed participant_expected_values.season_id → sports_season_id - Updated foreign key to reference sports_seasons instead of seasons - Added source_odds field to store original futures odds - Migration 0025: Column rename and FK update - Migration 0026: Add source_odds field ### Model Layer - participant-expected-value: CRUD operations for probability distributions - Supports multiple probability sources (manual, futures_odds, elo_simulation) - Automatic EV calculation based on league scoring rules - Probability validation and normalization ### Service Layer - icm-calculator: Harville-Malmuth probability distribution - probability-engine: Odds conversion and Elo utilities (for future use) - bracket-simulator: Monte Carlo simulation (for future hybrid approach) - ev-calculator: Expected value computation from probabilities ## Technical Details - Uses exponential decay favoring top positions for strong teams - Preserves championship probability ordering in final distributions - Row sums vary (strong teams ~100%, weak teams lower) - All probabilities between 0-1, mathematically valid - Comprehensive test suite: 97 tests passing ## Future Enhancements - Hybrid approach: ICM pre-playoffs, bracket simulation during playoffs - Integration with league-specific scoring rules - Historical probability tracking for accuracy analysis 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-17 22:19:46 -08:00
const existingOdds = new Map(
existingEVs
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>
2026-03-09 15:34:31 -07:00
.filter(ev => ev.sourceOdds !== null)
feat: implement Expected Value System with ICM probability calculator Implements Phase 5.2 of the EV system with Harville-Malmuth Independent Chip Model for calculating participant placement probabilities from futures odds. ## Key Features ### ICM Probability Calculator - Implements Harville-Malmuth method for distributing probabilities - Converts American odds to championship probabilities - Generates P(1st) through P(8th) for all participants - Column-normalized: each placement sums to 100% across all teams - Works with any number of participants (not limited to 8) ### Admin UI - Futures Odds Entry - Enter American odds (e.g., +550, -200) for championship futures - Live preview of ICM-calculated probability distributions - Displays all 8 placement probabilities - Persists odds for editing on subsequent visits - Automatic probability normalization (removes bookmaker vig) ### Database Schema Updates - Renamed participant_expected_values.season_id → sports_season_id - Updated foreign key to reference sports_seasons instead of seasons - Added source_odds field to store original futures odds - Migration 0025: Column rename and FK update - Migration 0026: Add source_odds field ### Model Layer - participant-expected-value: CRUD operations for probability distributions - Supports multiple probability sources (manual, futures_odds, elo_simulation) - Automatic EV calculation based on league scoring rules - Probability validation and normalization ### Service Layer - icm-calculator: Harville-Malmuth probability distribution - probability-engine: Odds conversion and Elo utilities (for future use) - bracket-simulator: Monte Carlo simulation (for future hybrid approach) - ev-calculator: Expected value computation from probabilities ## Technical Details - Uses exponential decay favoring top positions for strong teams - Preserves championship probability ordering in final distributions - Row sums vary (strong teams ~100%, weak teams lower) - All probabilities between 0-1, mathematically valid - Comprehensive test suite: 97 tests passing ## Future Enhancements - Hybrid approach: ICM pre-playoffs, bracket simulation during playoffs - Integration with league-specific scoring rules - Historical probability tracking for accuracy analysis 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-17 22:19:46 -08:00
.map(ev => [ev.participantId, ev.sourceOdds])
);
return {
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>
2026-03-09 15:34:31 -07:00
sportsSeason,
feat: implement Expected Value System with ICM probability calculator Implements Phase 5.2 of the EV system with Harville-Malmuth Independent Chip Model for calculating participant placement probabilities from futures odds. ## Key Features ### ICM Probability Calculator - Implements Harville-Malmuth method for distributing probabilities - Converts American odds to championship probabilities - Generates P(1st) through P(8th) for all participants - Column-normalized: each placement sums to 100% across all teams - Works with any number of participants (not limited to 8) ### Admin UI - Futures Odds Entry - Enter American odds (e.g., +550, -200) for championship futures - Live preview of ICM-calculated probability distributions - Displays all 8 placement probabilities - Persists odds for editing on subsequent visits - Automatic probability normalization (removes bookmaker vig) ### Database Schema Updates - Renamed participant_expected_values.season_id → sports_season_id - Updated foreign key to reference sports_seasons instead of seasons - Added source_odds field to store original futures odds - Migration 0025: Column rename and FK update - Migration 0026: Add source_odds field ### Model Layer - participant-expected-value: CRUD operations for probability distributions - Supports multiple probability sources (manual, futures_odds, elo_simulation) - Automatic EV calculation based on league scoring rules - Probability validation and normalization ### Service Layer - icm-calculator: Harville-Malmuth probability distribution - probability-engine: Odds conversion and Elo utilities (for future use) - bracket-simulator: Monte Carlo simulation (for future hybrid approach) - ev-calculator: Expected value computation from probabilities ## Technical Details - Uses exponential decay favoring top positions for strong teams - Preserves championship probability ordering in final distributions - Row sums vary (strong teams ~100%, weak teams lower) - All probabilities between 0-1, mathematically valid - Comprehensive test suite: 97 tests passing ## Future Enhancements - Hybrid approach: ICM pre-playoffs, bracket simulation during playoffs - Integration with league-specific scoring rules - Historical probability tracking for accuracy analysis 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-17 22:19:46 -08:00
participants,
existingOdds,
};
}
interface ActionData {
success?: boolean;
message?: string;
}
export async function action({ request, params }: Route.ActionArgs) {
const sportsSeasonId = params.id;
const formData = await request.formData();
const sportsSeason = await findSportsSeasonById(sportsSeasonId);
if (!sportsSeason) {
return { success: false, message: 'Sports season not found' };
}
const participants = await findParticipantsBySportsSeasonId(sportsSeasonId);
// Parse odds from form
const futuresOdds: Array<{ participantId: string; odds: number; name: string }> = [];
for (const participant of participants) {
const oddsValue = formData.get(`odds_${participant.id}`) as string;
if (oddsValue && oddsValue.trim() !== '') {
const odds = Number(oddsValue);
if (!isNaN(odds)) {
futuresOdds.push({
participantId: participant.id,
odds,
name: participant.name,
});
}
}
}
if (futuresOdds.length === 0) {
return { success: false, message: 'Please enter odds for at least one participant' };
}
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>
2026-03-09 15:34:31 -07:00
if (!sportsSeason.sport?.simulatorType) {
return { success: false, message: 'This sport has no simulator type configured. Set one on the sport in the admin panel.' };
}
feat: implement Expected Value System with ICM probability calculator Implements Phase 5.2 of the EV system with Harville-Malmuth Independent Chip Model for calculating participant placement probabilities from futures odds. ## Key Features ### ICM Probability Calculator - Implements Harville-Malmuth method for distributing probabilities - Converts American odds to championship probabilities - Generates P(1st) through P(8th) for all participants - Column-normalized: each placement sums to 100% across all teams - Works with any number of participants (not limited to 8) ### Admin UI - Futures Odds Entry - Enter American odds (e.g., +550, -200) for championship futures - Live preview of ICM-calculated probability distributions - Displays all 8 placement probabilities - Persists odds for editing on subsequent visits - Automatic probability normalization (removes bookmaker vig) ### Database Schema Updates - Renamed participant_expected_values.season_id → sports_season_id - Updated foreign key to reference sports_seasons instead of seasons - Added source_odds field to store original futures odds - Migration 0025: Column rename and FK update - Migration 0026: Add source_odds field ### Model Layer - participant-expected-value: CRUD operations for probability distributions - Supports multiple probability sources (manual, futures_odds, elo_simulation) - Automatic EV calculation based on league scoring rules - Probability validation and normalization ### Service Layer - icm-calculator: Harville-Malmuth probability distribution - probability-engine: Odds conversion and Elo utilities (for future use) - bracket-simulator: Monte Carlo simulation (for future hybrid approach) - ev-calculator: Expected value computation from probabilities ## Technical Details - Uses exponential decay favoring top positions for strong teams - Preserves championship probability ordering in final distributions - Row sums vary (strong teams ~100%, weak teams lower) - All probabilities between 0-1, mathematically valid - Comprehensive test suite: 97 tests passing ## Future Enhancements - Hybrid approach: ICM pre-playoffs, bracket simulation during playoffs - Integration with league-specific scoring rules - Historical probability tracking for accuracy analysis 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-17 22:19:46 -08:00
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>
2026-03-09 15:34:31 -07:00
if (sportsSeason.simulationStatus === 'running') {
return { success: false, message: 'A simulation is already running. Please wait.' };
}
feat: implement Expected Value System with ICM probability calculator Implements Phase 5.2 of the EV system with Harville-Malmuth Independent Chip Model for calculating participant placement probabilities from futures odds. ## Key Features ### ICM Probability Calculator - Implements Harville-Malmuth method for distributing probabilities - Converts American odds to championship probabilities - Generates P(1st) through P(8th) for all participants - Column-normalized: each placement sums to 100% across all teams - Works with any number of participants (not limited to 8) ### Admin UI - Futures Odds Entry - Enter American odds (e.g., +550, -200) for championship futures - Live preview of ICM-calculated probability distributions - Displays all 8 placement probabilities - Persists odds for editing on subsequent visits - Automatic probability normalization (removes bookmaker vig) ### Database Schema Updates - Renamed participant_expected_values.season_id → sports_season_id - Updated foreign key to reference sports_seasons instead of seasons - Added source_odds field to store original futures odds - Migration 0025: Column rename and FK update - Migration 0026: Add source_odds field ### Model Layer - participant-expected-value: CRUD operations for probability distributions - Supports multiple probability sources (manual, futures_odds, elo_simulation) - Automatic EV calculation based on league scoring rules - Probability validation and normalization ### Service Layer - icm-calculator: Harville-Malmuth probability distribution - probability-engine: Odds conversion and Elo utilities (for future use) - bracket-simulator: Monte Carlo simulation (for future hybrid approach) - ev-calculator: Expected value computation from probabilities ## Technical Details - Uses exponential decay favoring top positions for strong teams - Preserves championship probability ordering in final distributions - Row sums vary (strong teams ~100%, weak teams lower) - All probabilities between 0-1, mathematically valid - Comprehensive test suite: 97 tests passing ## Future Enhancements - Hybrid approach: ICM pre-playoffs, bracket simulation during playoffs - Integration with league-specific scoring rules - Historical probability tracking for accuracy analysis 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-17 22:19:46 -08:00
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>
2026-03-09 15:34:31 -07:00
const scoringRules = {
pointsFor1st: 100,
pointsFor2nd: 70,
pointsFor3rd: 50,
pointsFor4th: 40,
pointsFor5th: 25,
pointsFor6th: 25,
pointsFor7th: 15,
pointsFor8th: 15,
};
feat: implement Expected Value System with ICM probability calculator Implements Phase 5.2 of the EV system with Harville-Malmuth Independent Chip Model for calculating participant placement probabilities from futures odds. ## Key Features ### ICM Probability Calculator - Implements Harville-Malmuth method for distributing probabilities - Converts American odds to championship probabilities - Generates P(1st) through P(8th) for all participants - Column-normalized: each placement sums to 100% across all teams - Works with any number of participants (not limited to 8) ### Admin UI - Futures Odds Entry - Enter American odds (e.g., +550, -200) for championship futures - Live preview of ICM-calculated probability distributions - Displays all 8 placement probabilities - Persists odds for editing on subsequent visits - Automatic probability normalization (removes bookmaker vig) ### Database Schema Updates - Renamed participant_expected_values.season_id → sports_season_id - Updated foreign key to reference sports_seasons instead of seasons - Added source_odds field to store original futures odds - Migration 0025: Column rename and FK update - Migration 0026: Add source_odds field ### Model Layer - participant-expected-value: CRUD operations for probability distributions - Supports multiple probability sources (manual, futures_odds, elo_simulation) - Automatic EV calculation based on league scoring rules - Probability validation and normalization ### Service Layer - icm-calculator: Harville-Malmuth probability distribution - probability-engine: Odds conversion and Elo utilities (for future use) - bracket-simulator: Monte Carlo simulation (for future hybrid approach) - ev-calculator: Expected value computation from probabilities ## Technical Details - Uses exponential decay favoring top positions for strong teams - Preserves championship probability ordering in final distributions - Row sums vary (strong teams ~100%, weak teams lower) - All probabilities between 0-1, mathematically valid - Comprehensive test suite: 97 tests passing ## Future Enhancements - Hybrid approach: ICM pre-playoffs, bracket simulation during playoffs - Integration with league-specific scoring rules - Historical probability tracking for accuracy analysis 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-17 22:19:46 -08:00
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>
2026-03-09 15:34:31 -07:00
// 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 {
const simulator = getSimulator(sportsSeason.sport.simulatorType as SimulatorType);
const results = await simulator.simulate(sportsSeasonId);
feat: implement Expected Value System with ICM probability calculator Implements Phase 5.2 of the EV system with Harville-Malmuth Independent Chip Model for calculating participant placement probabilities from futures odds. ## Key Features ### ICM Probability Calculator - Implements Harville-Malmuth method for distributing probabilities - Converts American odds to championship probabilities - Generates P(1st) through P(8th) for all participants - Column-normalized: each placement sums to 100% across all teams - Works with any number of participants (not limited to 8) ### Admin UI - Futures Odds Entry - Enter American odds (e.g., +550, -200) for championship futures - Live preview of ICM-calculated probability distributions - Displays all 8 placement probabilities - Persists odds for editing on subsequent visits - Automatic probability normalization (removes bookmaker vig) ### Database Schema Updates - Renamed participant_expected_values.season_id → sports_season_id - Updated foreign key to reference sports_seasons instead of seasons - Added source_odds field to store original futures odds - Migration 0025: Column rename and FK update - Migration 0026: Add source_odds field ### Model Layer - participant-expected-value: CRUD operations for probability distributions - Supports multiple probability sources (manual, futures_odds, elo_simulation) - Automatic EV calculation based on league scoring rules - Probability validation and normalization ### Service Layer - icm-calculator: Harville-Malmuth probability distribution - probability-engine: Odds conversion and Elo utilities (for future use) - bracket-simulator: Monte Carlo simulation (for future hybrid approach) - ev-calculator: Expected value computation from probabilities ## Technical Details - Uses exponential decay favoring top positions for strong teams - Preserves championship probability ordering in final distributions - Row sums vary (strong teams ~100%, weak teams lower) - All probabilities between 0-1, mathematically valid - Comprehensive test suite: 97 tests passing ## Future Enhancements - Hybrid approach: ICM pre-playoffs, bracket simulation during playoffs - Integration with league-specific scoring rules - Historical probability tracking for accuracy analysis 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-17 22:19:46 -08:00
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>
2026-03-09 15:34:31 -07:00
if (results.length === 0) {
throw new Error('Simulation returned no results.');
feat: implement Expected Value System with ICM probability calculator Implements Phase 5.2 of the EV system with Harville-Malmuth Independent Chip Model for calculating participant placement probabilities from futures odds. ## Key Features ### ICM Probability Calculator - Implements Harville-Malmuth method for distributing probabilities - Converts American odds to championship probabilities - Generates P(1st) through P(8th) for all participants - Column-normalized: each placement sums to 100% across all teams - Works with any number of participants (not limited to 8) ### Admin UI - Futures Odds Entry - Enter American odds (e.g., +550, -200) for championship futures - Live preview of ICM-calculated probability distributions - Displays all 8 placement probabilities - Persists odds for editing on subsequent visits - Automatic probability normalization (removes bookmaker vig) ### Database Schema Updates - Renamed participant_expected_values.season_id → sports_season_id - Updated foreign key to reference sports_seasons instead of seasons - Added source_odds field to store original futures odds - Migration 0025: Column rename and FK update - Migration 0026: Add source_odds field ### Model Layer - participant-expected-value: CRUD operations for probability distributions - Supports multiple probability sources (manual, futures_odds, elo_simulation) - Automatic EV calculation based on league scoring rules - Probability validation and normalization ### Service Layer - icm-calculator: Harville-Malmuth probability distribution - probability-engine: Odds conversion and Elo utilities (for future use) - bracket-simulator: Monte Carlo simulation (for future hybrid approach) - ev-calculator: Expected value computation from probabilities ## Technical Details - Uses exponential decay favoring top positions for strong teams - Preserves championship probability ordering in final distributions - Row sums vary (strong teams ~100%, weak teams lower) - All probabilities between 0-1, mathematically valid - Comprehensive test suite: 97 tests passing ## Future Enhancements - Hybrid approach: ICM pre-playoffs, bracket simulation during playoffs - Integration with league-specific scoring rules - Historical probability tracking for accuracy analysis 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-17 22:19:46 -08:00
}
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>
2026-03-09 15:34:31 -07:00
await batchUpsertParticipantEVs(
results.map((r) => ({
participantId: r.participantId,
sportsSeasonId,
probabilities: r.probabilities,
scoringRules,
source: 'elo_simulation' as const,
}))
);
const today = new Date().toISOString().slice(0, 10);
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, scoringRules),
source: r.source,
}))
);
await updateSportsSeason(sportsSeasonId, { simulationStatus: 'idle' });
feat: implement Expected Value System with ICM probability calculator Implements Phase 5.2 of the EV system with Harville-Malmuth Independent Chip Model for calculating participant placement probabilities from futures odds. ## Key Features ### ICM Probability Calculator - Implements Harville-Malmuth method for distributing probabilities - Converts American odds to championship probabilities - Generates P(1st) through P(8th) for all participants - Column-normalized: each placement sums to 100% across all teams - Works with any number of participants (not limited to 8) ### Admin UI - Futures Odds Entry - Enter American odds (e.g., +550, -200) for championship futures - Live preview of ICM-calculated probability distributions - Displays all 8 placement probabilities - Persists odds for editing on subsequent visits - Automatic probability normalization (removes bookmaker vig) ### Database Schema Updates - Renamed participant_expected_values.season_id → sports_season_id - Updated foreign key to reference sports_seasons instead of seasons - Added source_odds field to store original futures odds - Migration 0025: Column rename and FK update - Migration 0026: Add source_odds field ### Model Layer - participant-expected-value: CRUD operations for probability distributions - Supports multiple probability sources (manual, futures_odds, elo_simulation) - Automatic EV calculation based on league scoring rules - Probability validation and normalization ### Service Layer - icm-calculator: Harville-Malmuth probability distribution - probability-engine: Odds conversion and Elo utilities (for future use) - bracket-simulator: Monte Carlo simulation (for future hybrid approach) - ev-calculator: Expected value computation from probabilities ## Technical Details - Uses exponential decay favoring top positions for strong teams - Preserves championship probability ordering in final distributions - Row sums vary (strong teams ~100%, weak teams lower) - All probabilities between 0-1, mathematically valid - Comprehensive test suite: 97 tests passing ## Future Enhancements - Hybrid approach: ICM pre-playoffs, bracket simulation during playoffs - Integration with league-specific scoring rules - Historical probability tracking for accuracy analysis 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-17 22:19:46 -08:00
} catch (error) {
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>
2026-03-09 15:34:31 -07:00
await updateSportsSeason(sportsSeasonId, { simulationStatus: 'failed' });
logger.error('Error running simulation:', error);
feat: implement Expected Value System with ICM probability calculator Implements Phase 5.2 of the EV system with Harville-Malmuth Independent Chip Model for calculating participant placement probabilities from futures odds. ## Key Features ### ICM Probability Calculator - Implements Harville-Malmuth method for distributing probabilities - Converts American odds to championship probabilities - Generates P(1st) through P(8th) for all participants - Column-normalized: each placement sums to 100% across all teams - Works with any number of participants (not limited to 8) ### Admin UI - Futures Odds Entry - Enter American odds (e.g., +550, -200) for championship futures - Live preview of ICM-calculated probability distributions - Displays all 8 placement probabilities - Persists odds for editing on subsequent visits - Automatic probability normalization (removes bookmaker vig) ### Database Schema Updates - Renamed participant_expected_values.season_id → sports_season_id - Updated foreign key to reference sports_seasons instead of seasons - Added source_odds field to store original futures odds - Migration 0025: Column rename and FK update - Migration 0026: Add source_odds field ### Model Layer - participant-expected-value: CRUD operations for probability distributions - Supports multiple probability sources (manual, futures_odds, elo_simulation) - Automatic EV calculation based on league scoring rules - Probability validation and normalization ### Service Layer - icm-calculator: Harville-Malmuth probability distribution - probability-engine: Odds conversion and Elo utilities (for future use) - bracket-simulator: Monte Carlo simulation (for future hybrid approach) - ev-calculator: Expected value computation from probabilities ## Technical Details - Uses exponential decay favoring top positions for strong teams - Preserves championship probability ordering in final distributions - Row sums vary (strong teams ~100%, weak teams lower) - All probabilities between 0-1, mathematically valid - Comprehensive test suite: 97 tests passing ## Future Enhancements - Hybrid approach: ICM pre-playoffs, bracket simulation during playoffs - Integration with league-specific scoring rules - Historical probability tracking for accuracy analysis 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-17 22:19:46 -08:00
return {
success: false,
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>
2026-03-09 15:34:31 -07:00
message: error instanceof Error ? error.message : 'Simulation failed',
feat: implement Expected Value System with ICM probability calculator Implements Phase 5.2 of the EV system with Harville-Malmuth Independent Chip Model for calculating participant placement probabilities from futures odds. ## Key Features ### ICM Probability Calculator - Implements Harville-Malmuth method for distributing probabilities - Converts American odds to championship probabilities - Generates P(1st) through P(8th) for all participants - Column-normalized: each placement sums to 100% across all teams - Works with any number of participants (not limited to 8) ### Admin UI - Futures Odds Entry - Enter American odds (e.g., +550, -200) for championship futures - Live preview of ICM-calculated probability distributions - Displays all 8 placement probabilities - Persists odds for editing on subsequent visits - Automatic probability normalization (removes bookmaker vig) ### Database Schema Updates - Renamed participant_expected_values.season_id → sports_season_id - Updated foreign key to reference sports_seasons instead of seasons - Added source_odds field to store original futures odds - Migration 0025: Column rename and FK update - Migration 0026: Add source_odds field ### Model Layer - participant-expected-value: CRUD operations for probability distributions - Supports multiple probability sources (manual, futures_odds, elo_simulation) - Automatic EV calculation based on league scoring rules - Probability validation and normalization ### Service Layer - icm-calculator: Harville-Malmuth probability distribution - probability-engine: Odds conversion and Elo utilities (for future use) - bracket-simulator: Monte Carlo simulation (for future hybrid approach) - ev-calculator: Expected value computation from probabilities ## Technical Details - Uses exponential decay favoring top positions for strong teams - Preserves championship probability ordering in final distributions - Row sums vary (strong teams ~100%, weak teams lower) - All probabilities between 0-1, mathematically valid - Comprehensive test suite: 97 tests passing ## Future Enhancements - Hybrid approach: ICM pre-playoffs, bracket simulation during playoffs - Integration with league-specific scoring rules - Historical probability tracking for accuracy analysis 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-17 22:19:46 -08:00
};
}
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>
2026-03-09 15:34:31 -07:00
return redirect(`/admin/sports-seasons/${sportsSeasonId}/expected-values`);
feat: implement Expected Value System with ICM probability calculator Implements Phase 5.2 of the EV system with Harville-Malmuth Independent Chip Model for calculating participant placement probabilities from futures odds. ## Key Features ### ICM Probability Calculator - Implements Harville-Malmuth method for distributing probabilities - Converts American odds to championship probabilities - Generates P(1st) through P(8th) for all participants - Column-normalized: each placement sums to 100% across all teams - Works with any number of participants (not limited to 8) ### Admin UI - Futures Odds Entry - Enter American odds (e.g., +550, -200) for championship futures - Live preview of ICM-calculated probability distributions - Displays all 8 placement probabilities - Persists odds for editing on subsequent visits - Automatic probability normalization (removes bookmaker vig) ### Database Schema Updates - Renamed participant_expected_values.season_id → sports_season_id - Updated foreign key to reference sports_seasons instead of seasons - Added source_odds field to store original futures odds - Migration 0025: Column rename and FK update - Migration 0026: Add source_odds field ### Model Layer - participant-expected-value: CRUD operations for probability distributions - Supports multiple probability sources (manual, futures_odds, elo_simulation) - Automatic EV calculation based on league scoring rules - Probability validation and normalization ### Service Layer - icm-calculator: Harville-Malmuth probability distribution - probability-engine: Odds conversion and Elo utilities (for future use) - bracket-simulator: Monte Carlo simulation (for future hybrid approach) - ev-calculator: Expected value computation from probabilities ## Technical Details - Uses exponential decay favoring top positions for strong teams - Preserves championship probability ordering in final distributions - Row sums vary (strong teams ~100%, weak teams lower) - All probabilities between 0-1, mathematically valid - Comprehensive test suite: 97 tests passing ## Future Enhancements - Hybrid approach: ICM pre-playoffs, bracket simulation during playoffs - Integration with league-specific scoring rules - Historical probability tracking for accuracy analysis 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-17 22:19:46 -08:00
}
function normalizeName(name: string): string {
return name.toLowerCase().replace(/[^a-z0-9\s]/g, '').replace(/\s+/g, ' ').trim();
}
feat: implement Expected Value System with ICM probability calculator Implements Phase 5.2 of the EV system with Harville-Malmuth Independent Chip Model for calculating participant placement probabilities from futures odds. ## Key Features ### ICM Probability Calculator - Implements Harville-Malmuth method for distributing probabilities - Converts American odds to championship probabilities - Generates P(1st) through P(8th) for all participants - Column-normalized: each placement sums to 100% across all teams - Works with any number of participants (not limited to 8) ### Admin UI - Futures Odds Entry - Enter American odds (e.g., +550, -200) for championship futures - Live preview of ICM-calculated probability distributions - Displays all 8 placement probabilities - Persists odds for editing on subsequent visits - Automatic probability normalization (removes bookmaker vig) ### Database Schema Updates - Renamed participant_expected_values.season_id → sports_season_id - Updated foreign key to reference sports_seasons instead of seasons - Added source_odds field to store original futures odds - Migration 0025: Column rename and FK update - Migration 0026: Add source_odds field ### Model Layer - participant-expected-value: CRUD operations for probability distributions - Supports multiple probability sources (manual, futures_odds, elo_simulation) - Automatic EV calculation based on league scoring rules - Probability validation and normalization ### Service Layer - icm-calculator: Harville-Malmuth probability distribution - probability-engine: Odds conversion and Elo utilities (for future use) - bracket-simulator: Monte Carlo simulation (for future hybrid approach) - ev-calculator: Expected value computation from probabilities ## Technical Details - Uses exponential decay favoring top positions for strong teams - Preserves championship probability ordering in final distributions - Row sums vary (strong teams ~100%, weak teams lower) - All probabilities between 0-1, mathematically valid - Comprehensive test suite: 97 tests passing ## Future Enhancements - Hybrid approach: ICM pre-playoffs, bracket simulation during playoffs - Integration with league-specific scoring rules - Historical probability tracking for accuracy analysis 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-17 22:19:46 -08:00
export default function AdminSportsSeasonFuturesOdds() {
const { sportsSeason, participants, existingOdds } = useLoaderData<typeof loader>();
const actionData = useActionData<ActionData>();
const navigation = useNavigation();
// Initialize odds values from existing data
const [oddsValues, setOddsValues] = useState<Record<string, string>>(() => {
const initial: Record<string, string> = {};
participants.forEach(p => {
const existingOdd = existingOdds.get(p.id);
if (existingOdd !== undefined && existingOdd !== null) {
initial[p.id] = existingOdd.toString();
}
});
return initial;
});
// Bulk import state
const [bulkText, setBulkText] = useState('');
const [parseResults, setParseResults] = useState<{
matched: Array<{ participantId: string; name: string; odds: number; inputName: string }>;
unmatched: Array<{ inputName: string; odds: number }>;
} | null>(null);
function findParticipantMatch(inputName: string) {
const normalizedInput = normalizeName(inputName);
const normalized = participants.map(p => ({ p, n: normalizeName(p.name) }));
const exact = normalized.find(({ n }) => n === normalizedInput);
if (exact) return exact.p;
const contains = normalized.find(({ n }) => n.includes(normalizedInput) || normalizedInput.includes(n));
if (contains) return contains.p;
const inputWords = normalizedInput.split(' ').filter(w => w.length > 2);
const overlap = normalized.find(({ n }) => {
const pWords = n.split(' ').filter(w => w.length > 2);
const shared = inputWords.filter(w => pWords.includes(w));
return shared.length > 0 && shared.length >= Math.min(inputWords.length, pWords.length) * 0.5;
});
return overlap?.p ?? null;
}
function parseBulkText() {
const lines = bulkText.split('\n');
const oddsPattern = /^(.+?)\s+([+-]\d{2,6})\s*$/;
const matched: Array<{ participantId: string; name: string; odds: number; inputName: string }> = [];
const unmatched: Array<{ inputName: string; odds: number }> = [];
const seenParticipants = new Set<string>();
for (const line of lines) {
const trimmed = line.trim();
if (!trimmed || trimmed.length < 3) continue;
const match = oddsPattern.exec(trimmed);
if (!match) continue;
const inputName = match[1].trim();
const odds = parseInt(match[2], 10);
if (isNaN(odds)) continue;
const participant = findParticipantMatch(inputName);
if (participant && !seenParticipants.has(participant.id)) {
seenParticipants.add(participant.id);
matched.push({ participantId: participant.id, name: participant.name, odds, inputName });
} else if (!participant) {
unmatched.push({ inputName, odds });
}
}
setParseResults({ matched, unmatched });
}
function applyMatches() {
if (!parseResults) return;
const newOdds = { ...oddsValues };
for (const m of parseResults.matched) {
newOdds[m.participantId] = m.odds.toString();
}
setOddsValues(newOdds);
setParseResults(null);
setBulkText('');
}
feat: implement Expected Value System with ICM probability calculator Implements Phase 5.2 of the EV system with Harville-Malmuth Independent Chip Model for calculating participant placement probabilities from futures odds. ## Key Features ### ICM Probability Calculator - Implements Harville-Malmuth method for distributing probabilities - Converts American odds to championship probabilities - Generates P(1st) through P(8th) for all participants - Column-normalized: each placement sums to 100% across all teams - Works with any number of participants (not limited to 8) ### Admin UI - Futures Odds Entry - Enter American odds (e.g., +550, -200) for championship futures - Live preview of ICM-calculated probability distributions - Displays all 8 placement probabilities - Persists odds for editing on subsequent visits - Automatic probability normalization (removes bookmaker vig) ### Database Schema Updates - Renamed participant_expected_values.season_id → sports_season_id - Updated foreign key to reference sports_seasons instead of seasons - Added source_odds field to store original futures odds - Migration 0025: Column rename and FK update - Migration 0026: Add source_odds field ### Model Layer - participant-expected-value: CRUD operations for probability distributions - Supports multiple probability sources (manual, futures_odds, elo_simulation) - Automatic EV calculation based on league scoring rules - Probability validation and normalization ### Service Layer - icm-calculator: Harville-Malmuth probability distribution - probability-engine: Odds conversion and Elo utilities (for future use) - bracket-simulator: Monte Carlo simulation (for future hybrid approach) - ev-calculator: Expected value computation from probabilities ## Technical Details - Uses exponential decay favoring top positions for strong teams - Preserves championship probability ordering in final distributions - Row sums vary (strong teams ~100%, weak teams lower) - All probabilities between 0-1, mathematically valid - Comprehensive test suite: 97 tests passing ## Future Enhancements - Hybrid approach: ICM pre-playoffs, bracket simulation during playoffs - Integration with league-specific scoring rules - Historical probability tracking for accuracy analysis 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-17 22:19:46 -08:00
const isSubmitting = navigation.state === 'submitting';
return (
<div className="container mx-auto py-8">
<div className="mb-8">
<h1 className="text-3xl font-bold mb-2">Futures Odds Entry</h1>
<p className="text-muted-foreground">
{sportsSeason.sport.name} - {sportsSeason.name}
</p>
</div>
{/* Bulk Import */}
<Card className="mb-6">
<CardHeader>
<CardTitle>Bulk Import</CardTitle>
<CardDescription>
Paste odds from FanDuel, DraftKings, OddsChecker, or any site. Each line should end with
American odds (e.g. <code>Kansas City Chiefs +450</code>). Team names are fuzzy-matched to
participants.
</CardDescription>
</CardHeader>
<CardContent className="space-y-4">
<Textarea
placeholder={`Paste odds here, one team per line:\nKansas City Chiefs +450\nSan Francisco 49ers +600\nBaltimore Ravens +700`}
value={bulkText}
onChange={e => { setBulkText(e.target.value); setParseResults(null); }}
rows={8}
className="font-mono text-sm"
/>
<Button type="button" variant="outline" onClick={parseBulkText} disabled={!bulkText.trim()}>
Parse Odds
</Button>
{parseResults && (
<div className="space-y-3">
{parseResults.matched.length > 0 && (
<div>
Redesign to dark-mode-only with navy palette and accent colors (#13) Removes light mode entirely in favour of a permanent dark theme with a navy-tinted background and three signature accents (electric blue, amber/gold, coral) exposed as CSS custom properties and Tailwind utilities (bg-electric, text-amber-accent, text-coral-accent). - Set class="dark" on <html> and apply Clerk dark base theme - Rewrite app.css: single :root palette (oklch navy values), custom --electric / --amber-accent / --coral-accent variables, remove duplicate .dark block and light-mode bg-white/bg-gray-950 rule - Install @clerk/themes for Clerk dark modal support - Replace hardcoded Tailwind colors across 30+ files: - Draft grid cells: blue-50/blue-950 → electric/15, green-50/950 → emerald/10 - Timer: green-600/yellow-600/red-600 → emerald-400/amber-accent/coral-accent - Status badges: blue-50/green-50/gray-50 → electric/emerald/muted variants - Success messages: green-500/15 text-green-700 dark:text-green-400 → emerald-500/15 text-emerald-400 - Info cards: blue-50 dark:bg-blue-950 → electric/10 - Warning cards: yellow-500 → amber-accent variants - Medal/placement badges: yellow-500/orange-600 → amber-accent/coral-accent - Movement indicators: green-600/red-600 → emerald-400/coral-accent - Connection dots: green-500/red-500 → emerald-500/coral-accent - Remove dark:hidden/dark:block logo toggle in welcome.tsx (always dark) - Update DraftGrid test assertions to match new class names Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-20 19:26:11 -08:00
<div className="flex items-center gap-2 text-sm font-medium text-emerald-400 mb-2">
<CheckCircle2 className="h-4 w-4" />
Matched ({parseResults.matched.length})
</div>
Redesign to dark-mode-only with navy palette and accent colors (#13) Removes light mode entirely in favour of a permanent dark theme with a navy-tinted background and three signature accents (electric blue, amber/gold, coral) exposed as CSS custom properties and Tailwind utilities (bg-electric, text-amber-accent, text-coral-accent). - Set class="dark" on <html> and apply Clerk dark base theme - Rewrite app.css: single :root palette (oklch navy values), custom --electric / --amber-accent / --coral-accent variables, remove duplicate .dark block and light-mode bg-white/bg-gray-950 rule - Install @clerk/themes for Clerk dark modal support - Replace hardcoded Tailwind colors across 30+ files: - Draft grid cells: blue-50/blue-950 → electric/15, green-50/950 → emerald/10 - Timer: green-600/yellow-600/red-600 → emerald-400/amber-accent/coral-accent - Status badges: blue-50/green-50/gray-50 → electric/emerald/muted variants - Success messages: green-500/15 text-green-700 dark:text-green-400 → emerald-500/15 text-emerald-400 - Info cards: blue-50 dark:bg-blue-950 → electric/10 - Warning cards: yellow-500 → amber-accent variants - Medal/placement badges: yellow-500/orange-600 → amber-accent/coral-accent - Movement indicators: green-600/red-600 → emerald-400/coral-accent - Connection dots: green-500/red-500 → emerald-500/coral-accent - Remove dark:hidden/dark:block logo toggle in welcome.tsx (always dark) - Update DraftGrid test assertions to match new class names Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-20 19:26:11 -08:00
<div className="rounded-md border border-emerald-500/30 bg-emerald-500/10 divide-y divide-emerald-500/20 text-sm">
{parseResults.matched.map(m => (
<div key={m.participantId} className="flex justify-between px-3 py-1.5">
<span className="text-muted-foreground">{m.inputName}</span>
<span className="font-medium">
{m.name} &rarr; {m.odds > 0 ? '+' : ''}{m.odds}
</span>
</div>
))}
</div>
</div>
)}
{parseResults.unmatched.length > 0 && (
<div>
<div className="flex items-center gap-2 text-sm font-medium text-amber-700 mb-2">
<AlertCircle className="h-4 w-4" />
Not matched ({parseResults.unmatched.length}) enter manually below
</div>
<div className="rounded-md border border-amber-200 bg-amber-50 divide-y divide-amber-100 text-sm">
Add oxlint linting setup with zero errors (#194) * Add oxlint and fix all lint errors - Install oxlint, add .oxlintrc.json with rules for TypeScript/React - Add npm run lint / lint:fix scripts - Add Claude PostToolUse hook to run oxlint on every edited file - Fix 101 errors: unused vars/imports, eqeqeq, prefer-const, no-new-array - Fix no-array-index-key (use stable keys or suppress positional cases) - Fix exhaustive-deps missing dependency in useEffect - Promote exhaustive-deps and no-array-index-key to errors - Fix Map.get() !== null bug in $leagueId.server.ts (should be !== undefined) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * Fix no-explicit-any warnings and upgrade tsconfig to ES2023 - Replace all `any` types with proper types or `unknown` across ~20 files - Add typed socket payload interfaces in draft route and useDraftSocket - Use any[] with eslint-disable for socket.io callbacks (legitimate escape hatch) - Bump all tsconfigs from ES2022 → ES2023 to support toSorted/toReversed - Fix cascading type errors uncovered by removing any: Map.get narrowing, participant relation types, ChartDataPoint, Partial<NewSeason> indexing - Add ParticipantResultWithParticipant type to participant-result model - Fix test fixtures to match updated interfaces (DraftCell, ParticipantResult) - Fix duplicate getQPStandings import in sportsSeasonId.server.ts Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * Promote no-explicit-any to error Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-21 09:44:05 -07:00
{parseResults.unmatched.map((u) => (
<div key={u.inputName} className="flex justify-between px-3 py-1.5">
<span>{u.inputName}</span>
<span className="font-medium">{u.odds > 0 ? '+' : ''}{u.odds}</span>
</div>
))}
</div>
</div>
)}
{parseResults.matched.length === 0 && parseResults.unmatched.length === 0 && (
<p className="text-sm text-muted-foreground">No odds found. Make sure each line ends with a value like +450 or -200.</p>
)}
{parseResults.matched.length > 0 && (
<Button type="button" onClick={applyMatches}>
Apply {parseResults.matched.length} matched odds to form
</Button>
)}
</div>
)}
</CardContent>
</Card>
feat: implement Expected Value System with ICM probability calculator Implements Phase 5.2 of the EV system with Harville-Malmuth Independent Chip Model for calculating participant placement probabilities from futures odds. ## Key Features ### ICM Probability Calculator - Implements Harville-Malmuth method for distributing probabilities - Converts American odds to championship probabilities - Generates P(1st) through P(8th) for all participants - Column-normalized: each placement sums to 100% across all teams - Works with any number of participants (not limited to 8) ### Admin UI - Futures Odds Entry - Enter American odds (e.g., +550, -200) for championship futures - Live preview of ICM-calculated probability distributions - Displays all 8 placement probabilities - Persists odds for editing on subsequent visits - Automatic probability normalization (removes bookmaker vig) ### Database Schema Updates - Renamed participant_expected_values.season_id → sports_season_id - Updated foreign key to reference sports_seasons instead of seasons - Added source_odds field to store original futures odds - Migration 0025: Column rename and FK update - Migration 0026: Add source_odds field ### Model Layer - participant-expected-value: CRUD operations for probability distributions - Supports multiple probability sources (manual, futures_odds, elo_simulation) - Automatic EV calculation based on league scoring rules - Probability validation and normalization ### Service Layer - icm-calculator: Harville-Malmuth probability distribution - probability-engine: Odds conversion and Elo utilities (for future use) - bracket-simulator: Monte Carlo simulation (for future hybrid approach) - ev-calculator: Expected value computation from probabilities ## Technical Details - Uses exponential decay favoring top positions for strong teams - Preserves championship probability ordering in final distributions - Row sums vary (strong teams ~100%, weak teams lower) - All probabilities between 0-1, mathematically valid - Comprehensive test suite: 97 tests passing ## Future Enhancements - Hybrid approach: ICM pre-playoffs, bracket simulation during playoffs - Integration with league-specific scoring rules - Historical probability tracking for accuracy analysis 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-17 22:19:46 -08:00
<div className="grid gap-6 lg:grid-cols-2">
<div>
<Card>
<CardHeader>
<CardTitle>Championship Futures Odds</CardTitle>
<CardDescription>
Enter American odds (e.g., +550, -200) for each participant's championship probability.
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>
2026-03-09 15:34:31 -07:00
Enter American odds, then run the ICM simulation to compute and save probability distributions.
feat: implement Expected Value System with ICM probability calculator Implements Phase 5.2 of the EV system with Harville-Malmuth Independent Chip Model for calculating participant placement probabilities from futures odds. ## Key Features ### ICM Probability Calculator - Implements Harville-Malmuth method for distributing probabilities - Converts American odds to championship probabilities - Generates P(1st) through P(8th) for all participants - Column-normalized: each placement sums to 100% across all teams - Works with any number of participants (not limited to 8) ### Admin UI - Futures Odds Entry - Enter American odds (e.g., +550, -200) for championship futures - Live preview of ICM-calculated probability distributions - Displays all 8 placement probabilities - Persists odds for editing on subsequent visits - Automatic probability normalization (removes bookmaker vig) ### Database Schema Updates - Renamed participant_expected_values.season_id → sports_season_id - Updated foreign key to reference sports_seasons instead of seasons - Added source_odds field to store original futures odds - Migration 0025: Column rename and FK update - Migration 0026: Add source_odds field ### Model Layer - participant-expected-value: CRUD operations for probability distributions - Supports multiple probability sources (manual, futures_odds, elo_simulation) - Automatic EV calculation based on league scoring rules - Probability validation and normalization ### Service Layer - icm-calculator: Harville-Malmuth probability distribution - probability-engine: Odds conversion and Elo utilities (for future use) - bracket-simulator: Monte Carlo simulation (for future hybrid approach) - ev-calculator: Expected value computation from probabilities ## Technical Details - Uses exponential decay favoring top positions for strong teams - Preserves championship probability ordering in final distributions - Row sums vary (strong teams ~100%, weak teams lower) - All probabilities between 0-1, mathematically valid - Comprehensive test suite: 97 tests passing ## Future Enhancements - Hybrid approach: ICM pre-playoffs, bracket simulation during playoffs - Integration with league-specific scoring rules - Historical probability tracking for accuracy analysis 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-17 22:19:46 -08:00
</CardDescription>
</CardHeader>
<CardContent>
<Form method="post" className="space-y-4">
<div className="space-y-3">
{participants.map((participant) => (
<div key={participant.id} className="grid grid-cols-2 gap-4 items-center">
<Label htmlFor={`odds_${participant.id}`}>{participant.name}</Label>
<Input
type="number"
id={`odds_${participant.id}`}
name={`odds_${participant.id}`}
placeholder="+550"
value={oddsValues[participant.id] ?? ''}
onChange={(e) =>
setOddsValues((prev) => ({
...prev,
[participant.id]: e.target.value,
}))
}
/>
</div>
))}
</div>
<div className="bg-muted p-4 rounded-lg space-y-2">
<div className="flex items-center gap-2 font-medium">
<Info className="h-4 w-4" />
ICM Calculation
</div>
<div className="space-y-1 text-sm">
<div>Uses Independent Chip Model from poker tournaments</div>
<div>Works with any number of participants</div>
<div className="text-xs text-muted-foreground mt-2">
Every team gets probabilities for 1st-8th place, even longshots.
</div>
</div>
</div>
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>
2026-03-09 15:34:31 -07:00
{actionData && !actionData.success && actionData.message && (
<div className="text-sm text-destructive">{actionData.message}</div>
)}
<Button type="submit" disabled={isSubmitting}>
{isSubmitting && <Loader2 className="mr-2 h-4 w-4 animate-spin" />}
{isSubmitting ? 'Running...' : 'Run Simulation'}
</Button>
feat: implement Expected Value System with ICM probability calculator Implements Phase 5.2 of the EV system with Harville-Malmuth Independent Chip Model for calculating participant placement probabilities from futures odds. ## Key Features ### ICM Probability Calculator - Implements Harville-Malmuth method for distributing probabilities - Converts American odds to championship probabilities - Generates P(1st) through P(8th) for all participants - Column-normalized: each placement sums to 100% across all teams - Works with any number of participants (not limited to 8) ### Admin UI - Futures Odds Entry - Enter American odds (e.g., +550, -200) for championship futures - Live preview of ICM-calculated probability distributions - Displays all 8 placement probabilities - Persists odds for editing on subsequent visits - Automatic probability normalization (removes bookmaker vig) ### Database Schema Updates - Renamed participant_expected_values.season_id → sports_season_id - Updated foreign key to reference sports_seasons instead of seasons - Added source_odds field to store original futures odds - Migration 0025: Column rename and FK update - Migration 0026: Add source_odds field ### Model Layer - participant-expected-value: CRUD operations for probability distributions - Supports multiple probability sources (manual, futures_odds, elo_simulation) - Automatic EV calculation based on league scoring rules - Probability validation and normalization ### Service Layer - icm-calculator: Harville-Malmuth probability distribution - probability-engine: Odds conversion and Elo utilities (for future use) - bracket-simulator: Monte Carlo simulation (for future hybrid approach) - ev-calculator: Expected value computation from probabilities ## Technical Details - Uses exponential decay favoring top positions for strong teams - Preserves championship probability ordering in final distributions - Row sums vary (strong teams ~100%, weak teams lower) - All probabilities between 0-1, mathematically valid - Comprehensive test suite: 97 tests passing ## Future Enhancements - Hybrid approach: ICM pre-playoffs, bracket simulation during playoffs - Integration with league-specific scoring rules - Historical probability tracking for accuracy analysis 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-17 22:19:46 -08:00
</Form>
</CardContent>
</Card>
<Card className="mt-4">
<CardHeader>
<CardTitle>How It Works</CardTitle>
</CardHeader>
<CardContent className="text-sm space-y-2">
<ol className="list-decimal list-inside space-y-2">
<li>Converts American odds to championship win probabilities</li>
<li>Removes bookmaker vig (normalizes to 100%)</li>
<li>Uses ICM algorithm to distribute probabilities across all placements</li>
<li>Generates probability distribution (1st through 8th place) for ALL participants</li>
<li>Even teams with +100000 odds get non-zero probabilities</li>
</ol>
</CardContent>
</Card>
</div>
</div>
</div>
);
}