brackt/app/models/participant-expected-value.ts

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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
/**
* Model for Participant Expected Values
*
* Manages probability distributions and calculated EVs for participants
* in sports seasons.
*/
import { database } from "~/database/context";
import { participantExpectedValues, participants } from "~/database/schema";
Add Zod validation and expand export/import for EV and results data (#14) * Include participant EV/futures data in data sync export/import The export now includes the full participantExpectedValues records (placement probabilities, source, sourceOdds) alongside participants. On import, EV records are upserted in merge mode and created fresh in replace mode (cascade handles cleanup). Backward-compatible with older exports that lack the participantExpectedValues field. https://claude.ai/code/session_01TVzuuDR7jPtmihaXTrsX7B * Address all data-sync code review findings - Wrap importSportsDataFromJSON in a db.transaction() so any mid-import failure rolls back cleanly instead of leaving partial data - Add zod validation of imported JSON before any DB writes, giving a clear error on malformed/incompatible files - Fix N+1 queries: build participantIdMap during participant import so the EV and results sections resolve IDs from memory, not extra queries - Fix merge mode silently skipping existing participants — now updates shortName, externalId, and expectedValue - Add participantResults to export/import (was deleted in replace mode but never exported, so results were permanently lost) - Restore calculatedAt timestamp on EV import instead of defaulting to now(); stored as ISO string in the export for portability - Document that onDelete:cascade covers participantExpectedValues and participantResults when participants is deleted; remove the now- redundant explicit participantResults delete from replace mode - Bump export version to 1.1; old v1.0 files still import cleanly since participantExpectedValues, participantResults, and calculatedAt are all optional in the zod schema - Collapse all six DB fetches in exportSportsDataToJSON into one Promise.all for parallel execution - Add countAllParticipants() and countAllParticipantEVs() model funcs - Show Participants and EV Records counts on the dashboard stat cards - Replace raw DOM form creation/submit in handleImport with useFetcher, giving proper loading state, no full-page reload, and type-safe data - Remove dead export intent handler from the action function https://claude.ai/code/session_01TVzuuDR7jPtmihaXTrsX7B --------- Co-authored-by: Claude <noreply@anthropic.com>
2026-02-20 20:25:25 -08:00
import { eq, and, count } from "drizzle-orm";
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 type { ProbabilityDistribution, ScoringRules } from "~/services/ev-calculator";
import { calculateEV, normalizeProbabilities } 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
export type ProbabilitySource = "manual" | "futures_odds" | "elo_simulation" | "performance_model";
export interface ParticipantEV {
id: string;
participantId: string;
sportsSeasonId: string;
probFirst: string;
probSecond: string;
probThird: string;
probFourth: string;
probFifth: string;
probSixth: string;
probSeventh: string;
probEighth: string;
expectedValue: string;
source: ProbabilitySource | null;
sourceOdds: number | null;
calculatedAt: Date;
updatedAt: Date;
}
export interface CreateProbabilityInput {
participantId: string;
sportsSeasonId: string;
probabilities: ProbabilityDistribution;
scoringRules: ScoringRules;
source?: ProbabilitySource;
sourceOdds?: number; // American odds if source is futures_odds
}
export interface UpdateProbabilityInput {
probabilities: ProbabilityDistribution;
scoringRules: ScoringRules;
source?: ProbabilitySource;
}
/**
* Create or update participant probabilities and calculate EV
*
* @param input - Probabilities, scoring rules, and metadata
* @returns Created/updated participant EV record
* @throws Error if probabilities don't sum to 1.0 (within tolerance)
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 upsertParticipantEV(
input: CreateProbabilityInput
): Promise<ParticipantEV> {
const { participantId, sportsSeasonId, probabilities, scoringRules, source = "manual", sourceOdds } = input;
// Always validate probabilities don't exceed 1.0
const sum = Object.values(probabilities).reduce((a, b) => a + b, 0);
if (sum > 1.01) {
throw new Error(
`Probabilities cannot sum to more than 1.0. Current sum: ${sum.toFixed(4)} (${(sum * 100).toFixed(1)}%)`
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
);
}
// Calculate EV
const expectedValue = calculateEV(probabilities, scoringRules);
const db = database();
// Check if record exists
const existing = await db
.select()
.from(participantExpectedValues)
.where(
and(
eq(participantExpectedValues.participantId, participantId),
eq(participantExpectedValues.sportsSeasonId, sportsSeasonId)
)
)
.limit(1);
const now = new Date();
let result: ParticipantEV;
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
if (existing.length > 0) {
// Update existing
const updated = await db
.update(participantExpectedValues)
.set({
probFirst: probabilities.probFirst.toString(),
probSecond: probabilities.probSecond.toString(),
probThird: probabilities.probThird.toString(),
probFourth: probabilities.probFourth.toString(),
probFifth: probabilities.probFifth.toString(),
probSixth: probabilities.probSixth.toString(),
probSeventh: probabilities.probSeventh.toString(),
probEighth: probabilities.probEighth.toString(),
expectedValue: expectedValue.toString(),
source,
sourceOdds: sourceOdds ?? null,
calculatedAt: now,
updatedAt: now,
})
.where(eq(participantExpectedValues.id, existing[0].id))
.returning();
result = updated[0];
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
} else {
// Create new
const created = await db
.insert(participantExpectedValues)
.values({
participantId,
sportsSeasonId,
probFirst: probabilities.probFirst.toString(),
probSecond: probabilities.probSecond.toString(),
probThird: probabilities.probThird.toString(),
probFourth: probabilities.probFourth.toString(),
probFifth: probabilities.probFifth.toString(),
probSixth: probabilities.probSixth.toString(),
probSeventh: probabilities.probSeventh.toString(),
probEighth: probabilities.probEighth.toString(),
expectedValue: expectedValue.toString(),
source,
sourceOdds: sourceOdds ?? null,
calculatedAt: now,
updatedAt: now,
})
.returning();
result = created[0];
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
}
// Sync calculated EV to participants table for draft room ranking
await db
.update(participants)
.set({ expectedValue: expectedValue.toString(), updatedAt: now })
.where(eq(participants.id, participantId));
return result;
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
}
/**
* Create or update with auto-normalization
* Automatically normalizes probabilities if they don't sum to 100%
*/
export async function upsertParticipantEVWithNormalization(
input: CreateProbabilityInput
): Promise<ParticipantEV> {
const normalized = normalizeProbabilities(input.probabilities);
return upsertParticipantEV({
...input,
probabilities: normalized,
});
}
Add Zod validation and expand export/import for EV and results data (#14) * Include participant EV/futures data in data sync export/import The export now includes the full participantExpectedValues records (placement probabilities, source, sourceOdds) alongside participants. On import, EV records are upserted in merge mode and created fresh in replace mode (cascade handles cleanup). Backward-compatible with older exports that lack the participantExpectedValues field. https://claude.ai/code/session_01TVzuuDR7jPtmihaXTrsX7B * Address all data-sync code review findings - Wrap importSportsDataFromJSON in a db.transaction() so any mid-import failure rolls back cleanly instead of leaving partial data - Add zod validation of imported JSON before any DB writes, giving a clear error on malformed/incompatible files - Fix N+1 queries: build participantIdMap during participant import so the EV and results sections resolve IDs from memory, not extra queries - Fix merge mode silently skipping existing participants — now updates shortName, externalId, and expectedValue - Add participantResults to export/import (was deleted in replace mode but never exported, so results were permanently lost) - Restore calculatedAt timestamp on EV import instead of defaulting to now(); stored as ISO string in the export for portability - Document that onDelete:cascade covers participantExpectedValues and participantResults when participants is deleted; remove the now- redundant explicit participantResults delete from replace mode - Bump export version to 1.1; old v1.0 files still import cleanly since participantExpectedValues, participantResults, and calculatedAt are all optional in the zod schema - Collapse all six DB fetches in exportSportsDataToJSON into one Promise.all for parallel execution - Add countAllParticipants() and countAllParticipantEVs() model funcs - Show Participants and EV Records counts on the dashboard stat cards - Replace raw DOM form creation/submit in handleImport with useFetcher, giving proper loading state, no full-page reload, and type-safe data - Remove dead export intent handler from the action function https://claude.ai/code/session_01TVzuuDR7jPtmihaXTrsX7B --------- Co-authored-by: Claude <noreply@anthropic.com>
2026-02-20 20:25:25 -08:00
export async function countAllParticipantEVs(): Promise<number> {
const db = database();
const result = await db.select({ value: count() }).from(participantExpectedValues);
return result[0].value;
}
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
/**
* Get participant EV for a specific sports season
*/
export async function getParticipantEV(
participantId: string,
sportsSeasonId: string
): Promise<ParticipantEV | null> {
const db = database();
const result = await db
.select()
.from(participantExpectedValues)
.where(
and(
eq(participantExpectedValues.participantId, participantId),
eq(participantExpectedValues.sportsSeasonId, sportsSeasonId)
)
)
.limit(1);
return result[0] || null;
}
/**
* Get all participant EVs for a sports season
*/
export async function getAllParticipantEVsForSeason(
sportsSeasonId: string
): Promise<ParticipantEV[]> {
const db = database();
return db
.select()
.from(participantExpectedValues)
.where(eq(participantExpectedValues.sportsSeasonId, sportsSeasonId));
}
/**
* Delete participant EV
*/
export async function deleteParticipantEV(
participantId: string,
sportsSeasonId: string
): Promise<void> {
const db = database();
await db
.delete(participantExpectedValues)
.where(
and(
eq(participantExpectedValues.participantId, participantId),
eq(participantExpectedValues.sportsSeasonId, sportsSeasonId)
)
);
// Reset participant EV to 0
await db
.update(participants)
.set({ expectedValue: "0", updatedAt: new Date() })
.where(eq(participants.id, participantId));
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
}
/**
* Batch upsert multiple participant EVs
* Useful for updating all participants after generating probabilities
*/
export async function batchUpsertParticipantEVs(
inputs: CreateProbabilityInput[]
): Promise<ParticipantEV[]> {
const results: ParticipantEV[] = [];
// Process in batches to avoid overwhelming the database
const batchSize = 50;
for (let i = 0; i < inputs.length; i += batchSize) {
const batch = inputs.slice(i, i + batchSize);
const batchResults = await Promise.all(
batch.map((input) => upsertParticipantEV(input))
);
results.push(...batchResults);
}
return results;
}
/**
* Convert database record to ProbabilityDistribution
*/
export function toProbabilityDistribution(ev: ParticipantEV): ProbabilityDistribution {
return {
probFirst: parseFloat(ev.probFirst),
probSecond: parseFloat(ev.probSecond),
probThird: parseFloat(ev.probThird),
probFourth: parseFloat(ev.probFourth),
probFifth: parseFloat(ev.probFifth),
probSixth: parseFloat(ev.probSixth),
probSeventh: parseFloat(ev.probSeventh),
probEighth: parseFloat(ev.probEighth),
};
}
/**
* Recalculate EV for a participant with new scoring rules
* Keeps probabilities the same, only updates EV based on new scoring
*/
export async function recalculateEV(
participantId: string,
sportsSeasonId: string,
newScoringRules: ScoringRules
): Promise<ParticipantEV | null> {
const existing = await getParticipantEV(participantId, sportsSeasonId);
if (!existing) {
return null;
}
const probabilities = toProbabilityDistribution(existing);
const newEV = calculateEV(probabilities, newScoringRules);
const db = database();
const now = new Date();
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 updated = await db
.update(participantExpectedValues)
.set({
expectedValue: newEV.toString(),
calculatedAt: now,
updatedAt: now,
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
})
.where(eq(participantExpectedValues.id, existing.id))
.returning();
// Sync recalculated EV to participants table
await db
.update(participants)
.set({ expectedValue: newEV.toString(), updatedAt: now })
.where(eq(participants.id, participantId));
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 updated[0];
}
/**
* Recalculate EVs for all participants in a sports season
* Used when scoring rules change
*/
export async function recalculateAllEVsForSeason(
sportsSeasonId: string,
newScoringRules: ScoringRules
): Promise<number> {
const allEVs = await getAllParticipantEVsForSeason(sportsSeasonId);
await Promise.all(
allEVs.map((ev) =>
recalculateEV(ev.participantId, sportsSeasonId, newScoringRules)
)
);
return allEVs.length;
}