- Add unique index on (sports_season_id, name) in participants table
- findParticipantByName uses case-insensitive lower() comparison
- Single add: check for existing name before insert, return clear error
- Bulk add: load existing names once upfront (1 query vs N), dedup
input case-insensitively, report skipped names in UI
- Fix golf-skills and surface-elo routes which called createParticipant
without any duplicate guard (would have thrown DB constraint errors)
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
* Add golf QP simulator with Plackett-Luce model, fixes#120
- New `participant_golf_skills` table (migration 0061) for SG: Total and
per-major American odds per player/season
- New `app/models/golf-skills.ts` with getGolfSkillsMap, getGolfSkillsForSeason,
batchUpsertGolfSkills
- Full `GolfSimulator` implementation replacing the TODO stub: Plackett-Luce
ranking model (PL_BETA=1.5, FIELD_SIZE=156), 10k Monte Carlo iterations,
awards QP by finishing position, ranks by total QP across all 4 majors
- New admin route `sports-seasons/:id/golf-skills` with bulk CSV import,
fuzzy name matching, per-player SG + per-major odds inputs; saves skills
and auto-runs simulation on submit
- Simulator dropdown on sport admin sorted alphabetically; renamed to
"Golf Qualifying Points Monte Carlo"
- Golf Skills button shown on sports season admin when simulator type is
golf_qualifying_points
- Extract normalizeName/diceCoefficient to shared `app/lib/fuzzy-match.ts`,
removing duplication from surface-elo and golf-skills routes
- Parallelize 4 DB queries in GolfSimulator.simulate() with Promise.all
- O(1) field array removal via swap-to-end + pop (was O(N) splice)
- Fix source tag: performance_model (not elo_simulation) for SG-based model
- 23 unit tests covering americanToImplied, getMajorOddsKey, resolveSkill,
simulateMajor, and Monte Carlo calibration properties
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* Fix oxlint errors: no-non-null-assertion and eqeqeq
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Implements a Monte Carlo simulator for men's/women's tennis seasons scored
on the qualifying_points pattern. Simulates all 4 Grand Slam majors
(Australian Open, French Open, Wimbledon, US Open) using surface-specific
Elo ratings and ATP/WTA world rankings for seeding.
New table: participant_surface_elos — one row per (participant, season)
storing worldRanking, eloHard, eloClay, eloGrass.
Key design decisions:
- Seeding uses ATP/WTA world ranking (not Elo), matching real draw procedure
- Top 32 seeded with standard slot placement (1→0, 2→64, 3-4→quarters, etc.)
- QP per round with tie-splitting pre-applied: W=20, F=14, SF=9, QF=4, R16=1.5
- Completed majors read actual qualifyingPointsAwarded from eventResults
- 10,000 Monte Carlo simulations; column sums naturally 1.0 (no normalization)
Admin UI at /admin/sports-seasons/:id/surface-elo:
- 5-column grid (Player | Rank | Hard | Clay | Grass)
- Bulk import: "Name, ranking, hardElo, clayElo, grassElo" one per line
- Fuzzy name matching (bigram Dice coefficient) with "Did you mean?" suggestions
- Inline participant creation for unmatched names via useFetcher
- Saves Elos and auto-runs simulation on submit
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
