- Revert ncaaw-simulator to Barthag win probability formula; set
realistic rating bounds (ratingMin: 0.70, ratingMax: 0.97) so derived
ratings stay in the range where the formula behaves well
- Add batchSaveFuturesOddsForSimulator which clears all ratings (manual
and generated) before upserting sourceOdds, so futures odds always
drive the simulation rather than being silently overridden by existing
Barthag ratings from Simulator Setup
- Add clearSourceOddsForParticipants to zero out both tables for
participants excluded from a bulk import
- Add "Clear existing odds" checkbox to the bulk import card; applies
client-side on match and server-side on submit
- Fix missing sportsSeasonId filter in batchSaveFuturesOddsForSimulator
pre-clear UPDATE (could have wiped ratings across other seasons)
- Fix race condition: run batchSaveSourceOdds then
batchSaveFuturesOddsForSimulator sequentially so the simulator inputs
table always ends in the correct cleared state
- Fix Math.round in convertFuturesToElo collapsing Barthag-scale ratings
to 0 or 1; Elo callers already round after clamping
- Handle all-identical-odds edge case in convertFuturesToElo (assign
midpoint instead of throwing)
- Add missingRatingStrategy: worstKnownMinus to ncaaw_bracket manifest
so fallbackRatingDelta is live config, not dead
- Log warning in resolveRatings when only 1 participant has odds
- Reset clearExisting checkbox after applyMatches
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
* Add projected-wins input mode to admin Elo Ratings page
Admins can now enter projected season win totals instead of raw Elo
numbers on the Elo Ratings page. Wins are auto-converted to Elo using
the inverse formula and stored as sourceElo, keeping the rest of the
simulation pipeline unchanged.
- Add `projectedWinsToElo` / `eloToProjectedWins` to probability-engine
- Add `simulator-config.ts` centralising per-sport season length, parity
factor, and average opponent Elo (AFL, NFL, NBA, NHL, MLB, WNBA)
- Admin Elo Ratings page: toggle between Elo and Projected Wins input
modes; bulk import parses wins format; existing sourceElo back-fills
the wins field on load
- AFL simulator now reads sourceElo from participantExpectedValues first,
falling back to hardcoded TEAMS_DATA then 1400
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* Fix lint errors in simulator-config tests and probability-engine
- Replace non-null assertions (`!`) with optional chaining (`?.`) in simulator-config tests
- Remove redundant type annotations on default parameters in probability-engine
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
---------
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
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>
