When a participant wins a bracket round, they immediately earn provisional
"floor" points (the averaged minimum they'd receive if eliminated next round).
These update as they advance and are replaced by finalized scores on elimination.
Key changes:
- Add `is_partial_score` column to `participant_results` (migration 0038)
- `processPlayoffEvent`: assign provisional position 5 to non-scoring round
winners; assign round-appropriate floors to scoring round winners via
`getGuaranteedMinimumPosition`; add catch-all for unrecognized round names
- `upsertParticipantResult`: guard against un-finalizing rows (never overwrite
isPartialScore=false with true)
- `calculateBracketPoints`: new function averaging tied bracket tiers
(5-8 → 20 pts, 3-4 → avg, 1-2 solo); used in `calculateTeamScore` for
playoff_bracket pattern (pattern-aware, doesn't affect F1/golf scoring)
- `PlayoffBracket`: "In Contention" table for still-active participants;
AFL double-chance fix (participants who won a later match excluded from
earlier round's loser list); correct `nextRank` starting position
- Server loader: batch owner DB queries (one query vs N+1); deduplicate
participantPoints; use calculateBracketPoints for bracket point display
- Clean up Phase/Q-number tracking comments throughout scoring-calculator.ts
- 3 new tests for non-scoring round provisional floor behavior
Also includes a dev admin bypass via DEV_ADMIN_CLERK_ID env var (separate
change on this branch, not part of floor scoring feature).
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
- ICM tests: fix single participant, zero probabilities, and 2-participant
tests to account for simulation only filling min(participants, 8) positions
- TeamScoreBreakdown tests: use getAllByText for "150.0" which now appears
in both the header and the Actual Points summary card
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The implementation and rest of the system (ICM calculator, probability
updater) use decimals (0-1) for probabilities, but the tests were using
percentages (0-100). Updated tests and docs to match.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Added loader and action functions for managing expected values in sports seasons.
- Implemented UI for recalculating probabilities based on participant results.
- Created a service to update probabilities after results are finalized, including handling finished and unfinished participants.
- Developed tests for the probability updater service to ensure correct functionality.
- Introduced a preview feature to show potential changes before applying updates.
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>
