brackt/app/routes/admin.sports-seasons.$id.futures-odds.tsx

553 lines
22 KiB
TypeScript
Raw Normal View History

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 { Form, redirect, useLoaderData, useActionData, useNavigation } from 'react-router';
import type { Route } from './+types/admin.sports-seasons.$id.futures-odds';
import { findSportsSeasonById } from '~/models/sports-season';
import { findParticipantsBySportsSeasonId } from '~/models/participant';
import { getAllParticipantEVsForSeason } from '~/models/participant-expected-value';
import { Button } from '~/components/ui/button';
import { Input } from '~/components/ui/input';
import { Label } from '~/components/ui/label';
import { Textarea } from '~/components/ui/textarea';
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 {
Card,
CardContent,
CardDescription,
CardHeader,
CardTitle,
} from '~/components/ui/card';
import { useState } from 'react';
import {
calculateICMFromOdds,
icmResultToArray,
} from '~/services/icm-calculator';
import { upsertParticipantEV } from '~/models/participant-expected-value';
import { Loader2, Info, CheckCircle2, AlertCircle } from 'lucide-react';
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 loader({ params }: Route.LoaderArgs) {
const sportsSeasonId = params.id;
const sportsSeason = await findSportsSeasonById(sportsSeasonId);
if (!sportsSeason) {
throw new Response('Sports season not found', { status: 404 });
}
const participants = await findParticipantsBySportsSeasonId(sportsSeasonId);
const existingEVs = await getAllParticipantEVsForSeason(sportsSeasonId);
// Create map of participant ID to existing odds (if source is futures_odds)
const existingOdds = new Map(
existingEVs
.filter(ev => ev.source === 'futures_odds' && ev.sourceOdds !== null)
.map(ev => [ev.participantId, ev.sourceOdds])
);
return {
sportsSeason: sportsSeason as typeof sportsSeason & { sport: { id: string; name: string; type: string; slug: string } },
participants,
existingOdds,
};
}
interface ActionData {
success?: boolean;
message?: string;
preview?: {
participantId: string;
participantName: string;
odds: number;
probabilities: number[];
}[];
}
export async function action({ request, params }: Route.ActionArgs) {
const sportsSeasonId = params.id;
const formData = await request.formData();
const intent = formData.get('intent') as string;
const sportsSeason = await findSportsSeasonById(sportsSeasonId);
if (!sportsSeason) {
return { success: false, message: 'Sports season not found' };
}
const participants = await findParticipantsBySportsSeasonId(sportsSeasonId);
// Parse odds from form
const futuresOdds: Array<{ participantId: string; odds: number; name: string }> = [];
for (const participant of participants) {
const oddsValue = formData.get(`odds_${participant.id}`) as string;
if (oddsValue && oddsValue.trim() !== '') {
const odds = Number(oddsValue);
if (!isNaN(odds)) {
futuresOdds.push({
participantId: participant.id,
odds,
name: participant.name,
});
}
}
}
if (futuresOdds.length === 0) {
return { success: false, message: 'Please enter odds for at least one participant' };
}
try {
// Calculate ICM probabilities from odds
const icmResults = calculateICMFromOdds(
futuresOdds.map(({ participantId, odds }) => ({ participantId, odds }))
);
if (intent === 'preview') {
// Return preview data
const preview = futuresOdds.map(({ participantId, odds, name }) => {
const icmResult = icmResults.get(participantId)!;
return {
participantId,
participantName: name,
odds,
probabilities: icmResultToArray(icmResult),
};
});
return { success: true, preview };
}
if (intent === 'save') {
// Use default scoring rules (EVs will be recalculated per league)
const scoringRules = {
pointsFor1st: 100,
pointsFor2nd: 70,
pointsFor3rd: 50,
pointsFor4th: 40,
pointsFor5th: 25,
pointsFor6th: 25,
pointsFor7th: 15,
pointsFor8th: 15,
};
// Save probabilities from preview (passed through form)
// This ensures saved values match exactly what user saw in preview
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
for (const { participantId, odds } of futuresOdds) {
// Read probabilities from form data (preview results)
const probFirst = parseFloat(formData.get(`prob_first_${participantId}`) as string) || 0;
const probSecond = parseFloat(formData.get(`prob_second_${participantId}`) as string) || 0;
const probThird = parseFloat(formData.get(`prob_third_${participantId}`) as string) || 0;
const probFourth = parseFloat(formData.get(`prob_fourth_${participantId}`) as string) || 0;
const probFifth = parseFloat(formData.get(`prob_fifth_${participantId}`) as string) || 0;
const probSixth = parseFloat(formData.get(`prob_sixth_${participantId}`) as string) || 0;
const probSeventh = parseFloat(formData.get(`prob_seventh_${participantId}`) as string) || 0;
const probEighth = parseFloat(formData.get(`prob_eighth_${participantId}`) as string) || 0;
// Use upsertParticipantEV (not WithNormalization) because ICM probabilities
// are already correct - they sum to <1.0 for teams unlikely to finish top 8
await upsertParticipantEV({
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
participantId,
sportsSeasonId: sportsSeasonId,
probabilities: {
probFirst,
probSecond,
probThird,
probFourth,
probFifth,
probSixth,
probSeventh,
probEighth,
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
},
scoringRules,
source: 'futures_odds',
sourceOdds: odds,
});
}
return redirect(`/admin/sports-seasons/${sportsSeasonId}/expected-values`);
}
return { success: false, message: 'Invalid intent' };
} catch (error) {
console.error('Error generating probabilities:', error);
return {
success: false,
message: error instanceof Error ? error.message : 'Failed to generate probabilities',
};
}
}
function normalizeName(name: string): string {
return name.toLowerCase().replace(/[^a-z0-9\s]/g, '').replace(/\s+/g, ' ').trim();
}
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 default function AdminSportsSeasonFuturesOdds() {
const { sportsSeason, participants, existingOdds } = useLoaderData<typeof loader>();
const actionData = useActionData<ActionData>();
const navigation = useNavigation();
// Initialize odds values from existing data
const [oddsValues, setOddsValues] = useState<Record<string, string>>(() => {
const initial: Record<string, string> = {};
participants.forEach(p => {
const existingOdd = existingOdds.get(p.id);
if (existingOdd !== undefined && existingOdd !== null) {
initial[p.id] = existingOdd.toString();
}
});
return initial;
});
// Bulk import state
const [bulkText, setBulkText] = useState('');
const [parseResults, setParseResults] = useState<{
matched: Array<{ participantId: string; name: string; odds: number; inputName: string }>;
unmatched: Array<{ inputName: string; odds: number }>;
} | null>(null);
function findParticipantMatch(inputName: string) {
const normalizedInput = normalizeName(inputName);
// Pre-compute normalized names once for all three passes
const normalized = participants.map(p => ({ p, n: normalizeName(p.name) }));
// Exact match
const exact = normalized.find(({ n }) => n === normalizedInput);
if (exact) return exact.p;
// Contains match (one contains the other)
const contains = normalized.find(({ n }) => n.includes(normalizedInput) || normalizedInput.includes(n));
if (contains) return contains.p;
// Word-overlap match (at least half the significant words overlap)
const inputWords = normalizedInput.split(' ').filter(w => w.length > 2);
const overlap = normalized.find(({ n }) => {
const pWords = n.split(' ').filter(w => w.length > 2);
const shared = inputWords.filter(w => pWords.includes(w));
return shared.length > 0 && shared.length >= Math.min(inputWords.length, pWords.length) * 0.5;
});
return overlap?.p ?? null;
}
function parseBulkText() {
const lines = bulkText.split('\n');
// Match lines that end with an American-style odds number (+/- then 26 digits)
const oddsPattern = /^(.+?)\s+([+-]\d{2,6})\s*$/;
const matched: Array<{ participantId: string; name: string; odds: number; inputName: string }> = [];
const unmatched: Array<{ inputName: string; odds: number }> = [];
const seenParticipants = new Set<string>();
for (const line of lines) {
const trimmed = line.trim();
if (!trimmed || trimmed.length < 3) continue;
const match = oddsPattern.exec(trimmed);
if (!match) continue;
const inputName = match[1].trim();
const odds = parseInt(match[2], 10);
if (isNaN(odds)) continue;
const participant = findParticipantMatch(inputName);
if (participant && !seenParticipants.has(participant.id)) {
seenParticipants.add(participant.id);
matched.push({ participantId: participant.id, name: participant.name, odds, inputName });
} else if (!participant) {
unmatched.push({ inputName, odds });
}
}
setParseResults({ matched, unmatched });
}
function applyMatches() {
if (!parseResults) return;
const newOdds = { ...oddsValues };
for (const m of parseResults.matched) {
newOdds[m.participantId] = m.odds.toString();
}
setOddsValues(newOdds);
setParseResults(null);
setBulkText('');
}
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 isSubmitting = navigation.state === 'submitting';
const isGenerating = isSubmitting && navigation.formData?.get('intent') === 'preview';
const isSaving = isSubmitting && navigation.formData?.get('intent') === 'save';
return (
<div className="container mx-auto py-8">
<div className="mb-8">
<h1 className="text-3xl font-bold mb-2">Futures Odds Entry</h1>
<p className="text-muted-foreground">
{sportsSeason.sport.name} - {sportsSeason.name}
</p>
</div>
{/* Bulk Import */}
<Card className="mb-6">
<CardHeader>
<CardTitle>Bulk Import</CardTitle>
<CardDescription>
Paste odds from FanDuel, DraftKings, OddsChecker, or any site. Each line should end with
American odds (e.g. <code>Kansas City Chiefs +450</code>). Team names are fuzzy-matched to
participants.
</CardDescription>
</CardHeader>
<CardContent className="space-y-4">
<Textarea
placeholder={`Paste odds here, one team per line:\nKansas City Chiefs +450\nSan Francisco 49ers +600\nBaltimore Ravens +700`}
value={bulkText}
onChange={e => { setBulkText(e.target.value); setParseResults(null); }}
rows={8}
className="font-mono text-sm"
/>
<Button type="button" variant="outline" onClick={parseBulkText} disabled={!bulkText.trim()}>
Parse Odds
</Button>
{parseResults && (
<div className="space-y-3">
{parseResults.matched.length > 0 && (
<div>
Redesign to dark-mode-only with navy palette and accent colors (#13) Removes light mode entirely in favour of a permanent dark theme with a navy-tinted background and three signature accents (electric blue, amber/gold, coral) exposed as CSS custom properties and Tailwind utilities (bg-electric, text-amber-accent, text-coral-accent). - Set class="dark" on <html> and apply Clerk dark base theme - Rewrite app.css: single :root palette (oklch navy values), custom --electric / --amber-accent / --coral-accent variables, remove duplicate .dark block and light-mode bg-white/bg-gray-950 rule - Install @clerk/themes for Clerk dark modal support - Replace hardcoded Tailwind colors across 30+ files: - Draft grid cells: blue-50/blue-950 → electric/15, green-50/950 → emerald/10 - Timer: green-600/yellow-600/red-600 → emerald-400/amber-accent/coral-accent - Status badges: blue-50/green-50/gray-50 → electric/emerald/muted variants - Success messages: green-500/15 text-green-700 dark:text-green-400 → emerald-500/15 text-emerald-400 - Info cards: blue-50 dark:bg-blue-950 → electric/10 - Warning cards: yellow-500 → amber-accent variants - Medal/placement badges: yellow-500/orange-600 → amber-accent/coral-accent - Movement indicators: green-600/red-600 → emerald-400/coral-accent - Connection dots: green-500/red-500 → emerald-500/coral-accent - Remove dark:hidden/dark:block logo toggle in welcome.tsx (always dark) - Update DraftGrid test assertions to match new class names Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-20 19:26:11 -08:00
<div className="flex items-center gap-2 text-sm font-medium text-emerald-400 mb-2">
<CheckCircle2 className="h-4 w-4" />
Matched ({parseResults.matched.length})
</div>
Redesign to dark-mode-only with navy palette and accent colors (#13) Removes light mode entirely in favour of a permanent dark theme with a navy-tinted background and three signature accents (electric blue, amber/gold, coral) exposed as CSS custom properties and Tailwind utilities (bg-electric, text-amber-accent, text-coral-accent). - Set class="dark" on <html> and apply Clerk dark base theme - Rewrite app.css: single :root palette (oklch navy values), custom --electric / --amber-accent / --coral-accent variables, remove duplicate .dark block and light-mode bg-white/bg-gray-950 rule - Install @clerk/themes for Clerk dark modal support - Replace hardcoded Tailwind colors across 30+ files: - Draft grid cells: blue-50/blue-950 → electric/15, green-50/950 → emerald/10 - Timer: green-600/yellow-600/red-600 → emerald-400/amber-accent/coral-accent - Status badges: blue-50/green-50/gray-50 → electric/emerald/muted variants - Success messages: green-500/15 text-green-700 dark:text-green-400 → emerald-500/15 text-emerald-400 - Info cards: blue-50 dark:bg-blue-950 → electric/10 - Warning cards: yellow-500 → amber-accent variants - Medal/placement badges: yellow-500/orange-600 → amber-accent/coral-accent - Movement indicators: green-600/red-600 → emerald-400/coral-accent - Connection dots: green-500/red-500 → emerald-500/coral-accent - Remove dark:hidden/dark:block logo toggle in welcome.tsx (always dark) - Update DraftGrid test assertions to match new class names Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-20 19:26:11 -08:00
<div className="rounded-md border border-emerald-500/30 bg-emerald-500/10 divide-y divide-emerald-500/20 text-sm">
{parseResults.matched.map(m => (
<div key={m.participantId} className="flex justify-between px-3 py-1.5">
<span className="text-muted-foreground">{m.inputName}</span>
<span className="font-medium">
{m.name} &rarr; {m.odds > 0 ? '+' : ''}{m.odds}
</span>
</div>
))}
</div>
</div>
)}
{parseResults.unmatched.length > 0 && (
<div>
<div className="flex items-center gap-2 text-sm font-medium text-amber-700 mb-2">
<AlertCircle className="h-4 w-4" />
Not matched ({parseResults.unmatched.length}) enter manually below
</div>
<div className="rounded-md border border-amber-200 bg-amber-50 divide-y divide-amber-100 text-sm">
{parseResults.unmatched.map((u, i) => (
<div key={`${u.inputName}-${i}`} className="flex justify-between px-3 py-1.5">
<span>{u.inputName}</span>
<span className="font-medium">{u.odds > 0 ? '+' : ''}{u.odds}</span>
</div>
))}
</div>
</div>
)}
{parseResults.matched.length === 0 && parseResults.unmatched.length === 0 && (
<p className="text-sm text-muted-foreground">No odds found. Make sure each line ends with a value like +450 or -200.</p>
)}
{parseResults.matched.length > 0 && (
<Button type="button" onClick={applyMatches}>
Apply {parseResults.matched.length} matched odds to form
</Button>
)}
</div>
)}
</CardContent>
</Card>
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
<div className="grid gap-6 lg:grid-cols-2">
<div>
<Card>
<CardHeader>
<CardTitle>Championship Futures Odds</CardTitle>
<CardDescription>
Enter American odds (e.g., +550, -200) for each participant's championship probability.
Generates probabilities for all participants using ICM (Independent Chip Model).
</CardDescription>
</CardHeader>
<CardContent>
<Form method="post" className="space-y-4">
<div className="space-y-3">
{participants.map((participant) => (
<div key={participant.id} className="grid grid-cols-2 gap-4 items-center">
<Label htmlFor={`odds_${participant.id}`}>{participant.name}</Label>
<Input
type="number"
id={`odds_${participant.id}`}
name={`odds_${participant.id}`}
placeholder="+550"
value={oddsValues[participant.id] ?? ''}
onChange={(e) =>
setOddsValues((prev) => ({
...prev,
[participant.id]: e.target.value,
}))
}
/>
</div>
))}
</div>
<div className="bg-muted p-4 rounded-lg space-y-2">
<div className="flex items-center gap-2 font-medium">
<Info className="h-4 w-4" />
ICM Calculation
</div>
<div className="space-y-1 text-sm">
<div>Uses Independent Chip Model from poker tournaments</div>
<div>Works with any number of participants</div>
<div className="text-xs text-muted-foreground mt-2">
Every team gets probabilities for 1st-8th place, even longshots.
</div>
</div>
</div>
<div className="flex gap-2">
<Button
type="submit"
name="intent"
value="preview"
variant="outline"
disabled={isSubmitting}
>
{isGenerating && <Loader2 className="mr-2 h-4 w-4 animate-spin" />}
Generate Preview
</Button>
</div>
</Form>
</CardContent>
</Card>
<Card className="mt-4">
<CardHeader>
<CardTitle>How It Works</CardTitle>
</CardHeader>
<CardContent className="text-sm space-y-2">
<ol className="list-decimal list-inside space-y-2">
<li>Converts American odds to championship win probabilities</li>
<li>Removes bookmaker vig (normalizes to 100%)</li>
<li>Uses ICM algorithm to distribute probabilities across all placements</li>
<li>Generates probability distribution (1st through 8th place) for ALL participants</li>
<li>Even teams with +100000 odds get non-zero probabilities</li>
</ol>
</CardContent>
</Card>
</div>
<div>
{actionData?.preview && (
<Card>
<CardHeader>
<CardTitle>ICM Results</CardTitle>
<CardDescription>
Probability distributions calculated using Independent Chip Model
</CardDescription>
</CardHeader>
<CardContent>
<div className="space-y-4">
<div className="overflow-x-auto">
<table className="w-full text-sm">
<thead>
<tr className="border-b">
<th className="text-left py-2">Team</th>
<th className="text-right py-2">Odds</th>
<th className="text-right py-2">P(1st)</th>
<th className="text-right py-2">P(2nd)</th>
<th className="text-right py-2">P(3rd)</th>
<th className="text-right py-2">P(4th)</th>
<th className="text-right py-2">P(5th)</th>
<th className="text-right py-2">P(6th)</th>
<th className="text-right py-2">P(7th)</th>
<th className="text-right py-2">P(8th)</th>
</tr>
</thead>
<tbody>
{actionData.preview
.sort((a, b) => b.probabilities[0] - a.probabilities[0])
.map((result) => (
<tr key={result.participantId} className="border-b">
<td className="py-2">{result.participantName}</td>
<td className="text-right">
{result.odds > 0 ? '+' : ''}
{result.odds}
</td>
<td className="text-right">
{(result.probabilities[0] * 100).toFixed(1)}%
</td>
<td className="text-right">
{(result.probabilities[1] * 100).toFixed(1)}%
</td>
<td className="text-right">
{(result.probabilities[2] * 100).toFixed(1)}%
</td>
<td className="text-right">
{(result.probabilities[3] * 100).toFixed(1)}%
</td>
<td className="text-right">
{(result.probabilities[4] * 100).toFixed(1)}%
</td>
<td className="text-right">
{(result.probabilities[5] * 100).toFixed(1)}%
</td>
<td className="text-right">
{(result.probabilities[6] * 100).toFixed(1)}%
</td>
<td className="text-right">
{(result.probabilities[7] * 100).toFixed(1)}%
</td>
</tr>
))}
</tbody>
</table>
</div>
<Form method="post">
{/* Pass through odds and preview probabilities */}
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
{actionData.preview.map((result) => (
<div key={result.participantId}>
<input type="hidden" name={`odds_${result.participantId}`} value={result.odds} />
<input type="hidden" name={`prob_first_${result.participantId}`} value={result.probabilities[0]} />
<input type="hidden" name={`prob_second_${result.participantId}`} value={result.probabilities[1]} />
<input type="hidden" name={`prob_third_${result.participantId}`} value={result.probabilities[2]} />
<input type="hidden" name={`prob_fourth_${result.participantId}`} value={result.probabilities[3]} />
<input type="hidden" name={`prob_fifth_${result.participantId}`} value={result.probabilities[4]} />
<input type="hidden" name={`prob_sixth_${result.participantId}`} value={result.probabilities[5]} />
<input type="hidden" name={`prob_seventh_${result.participantId}`} value={result.probabilities[6]} />
<input type="hidden" name={`prob_eighth_${result.participantId}`} value={result.probabilities[7]} />
</div>
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
))}
<Button type="submit" name="intent" value="save" className="w-full" disabled={isSaving}>
{isSaving && <Loader2 className="mr-2 h-4 w-4 animate-spin" />}
{isSaving ? 'Saving...' : 'Save Probabilities'}
</Button>
</Form>
</div>
</CardContent>
</Card>
)}
{actionData && !actionData.success && actionData.message && (
<Card className="border-destructive">
<CardContent className="pt-6">
<div className="text-destructive font-medium">Error</div>
<div className="text-sm mt-2">{actionData.message}</div>
</CardContent>
</Card>
)}
{actionData && actionData.success && !actionData.preview && (
Redesign to dark-mode-only with navy palette and accent colors (#13) Removes light mode entirely in favour of a permanent dark theme with a navy-tinted background and three signature accents (electric blue, amber/gold, coral) exposed as CSS custom properties and Tailwind utilities (bg-electric, text-amber-accent, text-coral-accent). - Set class="dark" on <html> and apply Clerk dark base theme - Rewrite app.css: single :root palette (oklch navy values), custom --electric / --amber-accent / --coral-accent variables, remove duplicate .dark block and light-mode bg-white/bg-gray-950 rule - Install @clerk/themes for Clerk dark modal support - Replace hardcoded Tailwind colors across 30+ files: - Draft grid cells: blue-50/blue-950 → electric/15, green-50/950 → emerald/10 - Timer: green-600/yellow-600/red-600 → emerald-400/amber-accent/coral-accent - Status badges: blue-50/green-50/gray-50 → electric/emerald/muted variants - Success messages: green-500/15 text-green-700 dark:text-green-400 → emerald-500/15 text-emerald-400 - Info cards: blue-50 dark:bg-blue-950 → electric/10 - Warning cards: yellow-500 → amber-accent variants - Medal/placement badges: yellow-500/orange-600 → amber-accent/coral-accent - Movement indicators: green-600/red-600 → emerald-400/coral-accent - Connection dots: green-500/red-500 → emerald-500/coral-accent - Remove dark:hidden/dark:block logo toggle in welcome.tsx (always dark) - Update DraftGrid test assertions to match new class names Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-20 19:26:11 -08:00
<Card className="border-emerald-500/30 bg-emerald-500/10">
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
<CardContent className="pt-6">
Redesign to dark-mode-only with navy palette and accent colors (#13) Removes light mode entirely in favour of a permanent dark theme with a navy-tinted background and three signature accents (electric blue, amber/gold, coral) exposed as CSS custom properties and Tailwind utilities (bg-electric, text-amber-accent, text-coral-accent). - Set class="dark" on <html> and apply Clerk dark base theme - Rewrite app.css: single :root palette (oklch navy values), custom --electric / --amber-accent / --coral-accent variables, remove duplicate .dark block and light-mode bg-white/bg-gray-950 rule - Install @clerk/themes for Clerk dark modal support - Replace hardcoded Tailwind colors across 30+ files: - Draft grid cells: blue-50/blue-950 → electric/15, green-50/950 → emerald/10 - Timer: green-600/yellow-600/red-600 → emerald-400/amber-accent/coral-accent - Status badges: blue-50/green-50/gray-50 → electric/emerald/muted variants - Success messages: green-500/15 text-green-700 dark:text-green-400 → emerald-500/15 text-emerald-400 - Info cards: blue-50 dark:bg-blue-950 → electric/10 - Warning cards: yellow-500 → amber-accent variants - Medal/placement badges: yellow-500/orange-600 → amber-accent/coral-accent - Movement indicators: green-600/red-600 → emerald-400/coral-accent - Connection dots: green-500/red-500 → emerald-500/coral-accent - Remove dark:hidden/dark:block logo toggle in welcome.tsx (always dark) - Update DraftGrid test assertions to match new class names Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-20 19:26:11 -08:00
<div className="text-emerald-400 font-medium">Success</div>
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
<div className="text-sm mt-2">{actionData.message}</div>
</CardContent>
</Card>
)}
</div>
</div>
</div>
);
}