brackt/app/services/simulations/registry.ts
Chris Parsons 338979e0a8
Add FIFA World Cup 2026 support with group stage display and Monte Carlo simulator (#242)
* Add FIFA World Cup 2026 support with group stage display and Monte Carlo simulator, fixes #127

- New `groupStageMatches` table for recording group play results (W/D/L, scores, matchday, schedule)
- `computeGroupStandings()` model function: pts → GD → GF → name tiebreaker ordering
- `GroupStageStandings` component showing all 12 groups with standings table and manager column
- Admin bracket UI: group match score entry, per-group standings, "Recalculate Floors" action
- `WorldCupSimulator`: 50k Monte Carlo covering group stage + best-8 3rd-place + knockout + 3rd place game
  - Fuzzy name matching for national team Elo lookup (exact → substring → word-overlap), warns on miss
  - Partial group completion: completed matches replayed with real scores, remaining matches simulated
  - Elo priority: admin-entered sourceElo > futures odds converted to Elo > hardcoded national team ratings
- `fifa_48` bracket template: added Third Place Game round with `loserFeedsInto` on Semifinals
- Scoring rules: distinct 3rd/4th place for `fifa_48` (not averaged), QF losers share 5th–8th equally
- Floor scoring: SF participants guaranteed 4th (provisional), finalized after 3rd place game
- `recalculate-floors` admin action deletes and replays all results from scratch (fixes stale guard bug)
- Unique index on `(tournamentGroupId, participant1Id, participant2Id)` to prevent duplicate pairings
- Batch `findMatchesByGroupIds()` replacing N sequential queries in the sport season loader
- League home mini-standings now shows `actualPoints` (includes floor) instead of `totalPoints` only
- Elo ratings admin page supports World Cup (same bulk-import flow as snooker)

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

* Fix TypeScript errors: update GroupStandingData type to use findMatchesByGroupIds

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

* Increase Node heap to 4GB for unit tests in CI to prevent OOM

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

* Fix OOM in CI: make WorldCupSimulator simulation count configurable for tests

Tests now pass numSimulations=500 instead of the production default of 50,000.
Six simulator tests × 50k iterations each was exhausting the 4GB heap on GitHub
Actions runners. Also reduce simGroupMatch stat tests from 50k to 5k iterations.

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

---------

Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-29 10:27:47 -07:00

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/**
* Simulator Registry
*
* Maps a sport's simulatorType to the appropriate Simulator implementation.
* Set simulatorType on the sport record in the admin UI.
* Add new simulators here as new sports are supported.
*/
import type { Simulator } from "./types";
import { BracketSimulator } from "./bracket-simulator";
import { AutoRacingSimulator } from "./auto-racing-simulator";
import { GolfSimulator } from "./golf-simulator";
import { UCLSimulator } from "./ucl-simulator";
import { NCAAMSimulator } from "./ncaam-simulator";
import { NCAAWSimulator } from "./ncaaw-simulator";
import { NBASimulator } from "./nba-simulator";
import { NHLSimulator } from "./nhl-simulator";
import { AFLSimulator } from "./afl-simulator";
import { SnookerSimulator } from "./snooker-simulator";
import { TennisSimulator } from "./tennis-simulator";
import { MLBSimulator } from "./mlb-simulator";
import { WNBASimulator } from "./wnba-simulator";
import { WorldCupSimulator } from "./world-cup-simulator";
export const SIMULATOR_TYPES = [
"f1_standings",
"indycar_standings",
"golf_qualifying_points",
"playoff_bracket",
"ucl_bracket",
"ncaam_bracket",
"ncaaw_bracket",
"nba_bracket",
"nhl_bracket",
"afl_bracket",
"snooker_bracket",
"tennis_qualifying_points",
"mlb_bracket",
"wnba_bracket",
"world_cup",
] as const;
export type SimulatorType = typeof SIMULATOR_TYPES[number];
// ─── Race points tables ───────────────────────────────────────────────────────
/** F1 points: positions 110. */
const F1_RACE_POINTS: Record<number, number> = {
1: 25, 2: 18, 3: 15, 4: 12, 5: 10, 6: 8, 7: 6, 8: 4, 9: 2, 10: 1,
};
/** IndyCar standard race points: positions 126. */
const INDYCAR_RACE_POINTS: Record<number, number> = {
1: 50, 2: 40, 3: 35, 4: 32, 5: 30, 6: 28, 7: 26, 8: 24, 9: 22, 10: 20,
11: 19, 12: 18, 13: 17, 14: 16, 15: 15, 16: 14, 17: 13, 18: 12, 19: 11, 20: 10,
21: 9, 22: 8, 23: 7, 24: 6, 25: 5, 26: 5,
};
export interface SimulatorInfo {
name: string;
description: string;
}
const REGISTRY: Record<SimulatorType, { info: SimulatorInfo; create: () => Simulator }> = {
f1_standings: {
info: { name: "F1 Standings Model", description: "Simulates remaining races using current F1 standings and futures odds" },
create: () => new AutoRacingSimulator(F1_RACE_POINTS, "f1_standings_model"),
},
indycar_standings: {
info: { name: "IndyCar Standings Model", description: "Simulates remaining races using current IndyCar standings and futures odds" },
create: () => new AutoRacingSimulator(INDYCAR_RACE_POINTS, "indycar_standings_model"),
},
golf_qualifying_points: {
info: { name: "Golf Qualifying Points Monte Carlo", description: "Simulates remaining majors using a Plackett-Luce model with SG: Total ratings. Awards QP by finishing position; ranks players by total QP across all 4 majors." },
create: () => new GolfSimulator(),
},
playoff_bracket: {
info: { name: "Bracket Monte Carlo", description: "Simulates playoff bracket outcomes using Elo ratings" },
create: () => new BracketSimulator(),
},
ucl_bracket: {
info: { name: "UCL Bracket Monte Carlo", description: "Simulates the UEFA Champions League 16-team knockout bracket using blended Elo + futures odds" },
create: () => new UCLSimulator(),
},
ncaam_bracket: {
info: { name: "NCAAM Bracket Monte Carlo", description: "Simulates the NCAA Men's Basketball Tournament 64-team bracket using KenPom net ratings" },
create: () => new NCAAMSimulator(),
},
ncaaw_bracket: {
info: { name: "NCAAW Bracket Monte Carlo", description: "Simulates the NCAA Women's Basketball Tournament 64-team bracket using Barttorvik Barthag ratings" },
create: () => new NCAAWSimulator(),
},
nba_bracket: {
info: { name: "NBA Playoff Monte Carlo", description: "Simulates NBA playoff seedings (via seed probabilities) and full bracket (best-of-7 series) using Elo ratings" },
create: () => new NBASimulator(),
},
nhl_bracket: {
info: { name: "NHL Playoff Monte Carlo", description: "Simulates NHL playoff seedings (divisional format, via seed probabilities) and full bracket (best-of-7 series) using Elo ratings" },
create: () => new NHLSimulator(),
},
afl_bracket: {
info: { name: "AFL Season + Finals Monte Carlo", description: "Projects AFL regular season standings via Elo, then simulates the 10-team finals series (Wildcard → QF/EF → SF → PF → Grand Final). Reads current standings from DB; falls back to full-season projection pre-season." },
create: () => new AFLSimulator(),
},
snooker_bracket: {
info: { name: "Snooker World Championship Monte Carlo", description: "Simulates the 32-player World Championship bracket using frame-by-frame Bernoulli win probability and direct Elo ratings. Pre-bracket path simulates qualifying (ranks 17-48) and randomly draws qualifiers vs top 16 seeds." },
create: () => new SnookerSimulator(),
},
tennis_qualifying_points: {
info: { name: "Tennis Grand Slam Monte Carlo", description: "Simulates all 4 Grand Slam majors (128-player seeded bracket) using surface-specific Elo ratings. Accumulates qualifying points per round (tie-split applied) and ranks players by total QP across the season." },
create: () => new TennisSimulator(),
},
mlb_bracket: {
info: { name: "MLB Playoff Monte Carlo", description: "Simulates MLB division races + full playoff bracket (WC best-of-3, DS best-of-5, LCS/WS best-of-7) using Elo ratings calibrated from FanGraphs projected wins" },
create: () => new MLBSimulator(),
},
wnba_bracket: {
info: { name: "WNBA Playoff Monte Carlo", description: "Projects WNBA regular season seedings and simulates full playoff bracket (R1 best-of-3, Semis best-of-5, Finals best-of-7) using SRS-derived Elo ratings. SRS values sourced from basketball-reference.com." },
create: () => new WNBASimulator(),
},
world_cup: {
info: { name: "FIFA World Cup 2026 Monte Carlo", description: "Simulates the full 48-team World Cup: round-robin group stage (12 groups), best-8 third-place selection, R32→R16→QF→SF→3rd place game→Final. Uses blended Elo + futures odds." },
create: () => new WorldCupSimulator(),
},
};
export function getSimulator(simulatorType: SimulatorType): Simulator {
const entry = REGISTRY[simulatorType];
if (!entry) {
throw new Error(
`No simulator registered for type: "${simulatorType}". ` +
`Add a simulator to app/services/simulations/registry.ts.`
);
}
return entry.create();
}
export function getSimulatorInfo(simulatorType: SimulatorType): SimulatorInfo | null {
return REGISTRY[simulatorType]?.info ?? null;
}