* Add projected-wins input mode to admin Elo Ratings page Admins can now enter projected season win totals instead of raw Elo numbers on the Elo Ratings page. Wins are auto-converted to Elo using the inverse formula and stored as sourceElo, keeping the rest of the simulation pipeline unchanged. - Add `projectedWinsToElo` / `eloToProjectedWins` to probability-engine - Add `simulator-config.ts` centralising per-sport season length, parity factor, and average opponent Elo (AFL, NFL, NBA, NHL, MLB, WNBA) - Admin Elo Ratings page: toggle between Elo and Projected Wins input modes; bulk import parses wins format; existing sourceElo back-fills the wins field on load - AFL simulator now reads sourceElo from participantExpectedValues first, falling back to hardcoded TEAMS_DATA then 1400 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * Fix lint errors in simulator-config tests and probability-engine - Replace non-null assertions (`!`) with optional chaining (`?.`) in simulator-config tests - Remove redundant type annotations on default parameters in probability-engine Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
660 lines
27 KiB
TypeScript
660 lines
27 KiB
TypeScript
import { Form, redirect, useLoaderData, useActionData, useNavigation } from 'react-router';
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import type { Route } from './+types/admin.sports-seasons.$id.elo-ratings';
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import { logger } from '~/lib/logger';
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import { findSportsSeasonById, updateSportsSeason } from '~/models/sports-season';
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import { findParticipantsBySportsSeasonId } from '~/models/participant';
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import {
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getAllParticipantEVsForSeason,
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batchSaveSourceElos,
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batchUpsertParticipantEVs,
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} from '~/models/participant-expected-value';
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import { batchUpsertParticipantEvSnapshots } from '~/models/ev-snapshot';
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import { getSimulator, type SimulatorType } from '~/services/simulations/registry';
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import { calculateEV } from '~/services/ev-calculator';
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import { DEFAULT_SCORING_RULES } from '~/lib/scoring-types';
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import { recalculateStandings } from '~/models/scoring-calculator';
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import { database } from '~/database/context';
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import * as schema from '~/database/schema';
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import { eq } from 'drizzle-orm';
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import { Button } from '~/components/ui/button';
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import { Input } from '~/components/ui/input';
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import { Label } from '~/components/ui/label';
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import { Textarea } from '~/components/ui/textarea';
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import {
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Card,
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CardContent,
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CardDescription,
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CardHeader,
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CardTitle,
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} from '~/components/ui/card';
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import { useState } from 'react';
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import { Loader2, CheckCircle2, AlertCircle } from 'lucide-react';
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import { normalizeName } from '~/lib/fuzzy-match';
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import { getSimulatorConfig, supportsProjectedWins } from '~/services/simulations/simulator-config';
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import { eloToProjectedWins, projectedWinsToElo } from '~/services/probability-engine';
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// Simulator types that use worldRanking in addition to sourceElo
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const RANKING_SIMULATOR_TYPES = new Set(['darts_bracket', 'cs2_major_qualifying_points']);
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function rankingLabel(simulatorType: string | null | undefined): string {
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if (simulatorType === 'cs2_major_qualifying_points') return 'HLTV Rank';
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return 'World Rank';
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}
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export function meta({ data }: Route.MetaArgs): Route.MetaDescriptors {
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return [{ title: `Elo Ratings — ${data?.sportsSeason?.name ?? "Sports Season"} - Brackt Admin` }];
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}
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export async function loader({ params }: Route.LoaderArgs) {
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const sportsSeasonId = params.id;
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const sportsSeason = await findSportsSeasonById(sportsSeasonId);
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if (!sportsSeason) {
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throw new Response('Sports season not found', { status: 404 });
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}
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const participants = await findParticipantsBySportsSeasonId(sportsSeasonId);
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const existingEVs = await getAllParticipantEVsForSeason(sportsSeasonId);
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const existingData: Record<string, { elo: number | null; ranking: number | null }> = {};
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for (const ev of existingEVs) {
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existingData[ev.participantId] = {
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elo: ev.sourceElo ?? null,
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ranking: ev.worldRanking ?? null,
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};
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}
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const usesRanking = RANKING_SIMULATOR_TYPES.has(sportsSeason.sport?.simulatorType ?? '');
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const simulatorConfig = sportsSeason.sport?.simulatorType
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? getSimulatorConfig(sportsSeason.sport.simulatorType as SimulatorType)
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: null;
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const canUseProjectedWins = sportsSeason.sport?.simulatorType
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? supportsProjectedWins(sportsSeason.sport.simulatorType as SimulatorType)
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: false;
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return { sportsSeason, participants, existingData, usesRanking, simulatorConfig, canUseProjectedWins };
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}
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interface ActionData {
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success?: boolean;
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message?: string;
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}
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export async function action({ request, params }: Route.ActionArgs) {
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const sportsSeasonId = params.id;
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const formData = await request.formData();
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const sportsSeason = await findSportsSeasonById(sportsSeasonId);
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if (!sportsSeason) {
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return { success: false, message: 'Sports season not found' };
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}
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const participants = await findParticipantsBySportsSeasonId(sportsSeasonId);
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const usesRanking = RANKING_SIMULATOR_TYPES.has(sportsSeason.sport?.simulatorType ?? '');
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const rawMode = formData.get('inputMode');
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const inputMode = rawMode === 'projectedWins' ? 'projectedWins' : 'elo';
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const eloInputs: Array<{ participantId: string; sportsSeasonId: string; sourceElo: number; worldRanking?: number | null }> = [];
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if (inputMode === 'projectedWins' && sportsSeason.sport?.simulatorType) {
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const config = getSimulatorConfig(sportsSeason.sport.simulatorType as SimulatorType);
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if (!config) {
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return { success: false, message: 'This sport does not support projected wins input.' };
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}
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for (const participant of participants) {
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const winsVal = formData.get(`wins_${participant.id}`) as string;
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if (winsVal && winsVal.trim() !== '') {
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const projectedWins = parseFloat(winsVal);
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if (!isNaN(projectedWins) && projectedWins >= 0 && projectedWins <= config.seasonGames) {
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const elo = projectedWinsToElo(projectedWins, config.seasonGames, config.parityFactor, config.averageOpponentElo);
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eloInputs.push({ participantId: participant.id, sportsSeasonId, sourceElo: elo });
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}
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}
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}
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} else {
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for (const participant of participants) {
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const eloVal = formData.get(`elo_${participant.id}`) as string;
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const rankVal = formData.get(`rank_${participant.id}`) as string;
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if (eloVal && eloVal.trim() !== '') {
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const elo = Number(eloVal);
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if (!isNaN(elo) && elo > 0) {
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if (usesRanking) {
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const ranking = rankVal && rankVal.trim() !== '' ? Number(rankVal) : null;
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eloInputs.push({
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participantId: participant.id,
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sportsSeasonId,
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sourceElo: elo,
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worldRanking: ranking && !isNaN(ranking) && ranking > 0 ? ranking : null,
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});
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} else {
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eloInputs.push({ participantId: participant.id, sportsSeasonId, sourceElo: elo });
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}
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}
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}
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}
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}
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if (eloInputs.length === 0) {
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return { success: false, message: inputMode === 'projectedWins'
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? 'Please enter projected wins for at least one participant'
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: 'Please enter an Elo rating for at least one participant' };
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}
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if (!sportsSeason.sport?.simulatorType) {
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return { success: false, message: 'This sport has no simulator type configured. Set one on the sport in the admin panel.' };
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}
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if (sportsSeason.simulationStatus === 'running') {
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return { success: false, message: 'A simulation is already running. Please wait.' };
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}
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await batchSaveSourceElos(eloInputs);
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await updateSportsSeason(sportsSeasonId, { simulationStatus: 'running' });
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try {
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const simulator = getSimulator(sportsSeason.sport.simulatorType as SimulatorType);
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const results = await simulator.simulate(sportsSeasonId);
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if (results.length === 0) {
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throw new Error('Simulation returned no results.');
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}
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const simulatedIds = new Set(results.map(r => r.participantId));
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const ZERO_PROBS = {
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probFirst: 0, probSecond: 0, probThird: 0, probFourth: 0,
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probFifth: 0, probSixth: 0, probSeventh: 0, probEighth: 0,
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};
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const evInputs = [
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...results.map(r => ({
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participantId: r.participantId,
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sportsSeasonId,
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probabilities: r.probabilities,
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scoringRules: DEFAULT_SCORING_RULES,
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source: 'elo_simulation' as const,
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})),
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...participants
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.filter(p => !simulatedIds.has(p.id))
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.map(p => ({
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participantId: p.id,
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sportsSeasonId,
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probabilities: ZERO_PROBS,
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scoringRules: DEFAULT_SCORING_RULES,
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source: 'elo_simulation' as const,
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})),
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];
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await batchUpsertParticipantEVs(evInputs);
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const seasonSports = await database().query.seasonSports.findMany({
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where: eq(schema.seasonSports.sportsSeasonId, sportsSeasonId),
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});
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await Promise.all(seasonSports.map(({ seasonId }) => recalculateStandings(seasonId)));
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const today = new Date().toISOString().slice(0, 10);
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await batchUpsertParticipantEvSnapshots(
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results.map(r => ({
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participantId: r.participantId,
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sportsSeasonId,
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snapshotDate: today,
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probFirst: r.probabilities.probFirst,
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probSecond: r.probabilities.probSecond,
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probThird: r.probabilities.probThird,
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probFourth: r.probabilities.probFourth,
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probFifth: r.probabilities.probFifth,
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probSixth: r.probabilities.probSixth,
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probSeventh: r.probabilities.probSeventh,
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probEighth: r.probabilities.probEighth,
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calculatedEV: calculateEV(r.probabilities, DEFAULT_SCORING_RULES),
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source: r.source,
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}))
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);
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await updateSportsSeason(sportsSeasonId, { simulationStatus: 'idle' });
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} catch (error) {
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await updateSportsSeason(sportsSeasonId, { simulationStatus: 'failed' });
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logger.error('Error running simulation:', error);
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return {
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success: false,
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message: error instanceof Error ? error.message : 'Simulation failed',
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};
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}
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return redirect(`/admin/sports-seasons/${sportsSeasonId}/expected-values`);
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}
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export default function AdminSportsSeasonEloRatings() {
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const { sportsSeason, participants, existingData, usesRanking, simulatorConfig, canUseProjectedWins } = useLoaderData<typeof loader>();
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const actionData = useActionData<ActionData>();
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const navigation = useNavigation();
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const [inputMode, setInputMode] = useState<'elo' | 'projectedWins'>('elo');
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const [eloValues, setEloValues] = useState<Record<string, string>>(() => {
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const initial: Record<string, string> = {};
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participants.forEach(p => {
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const d = existingData[p.id];
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if (d?.elo !== null && d?.elo !== undefined) initial[p.id] = d.elo.toString();
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});
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return initial;
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});
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const [rankValues, setRankValues] = useState<Record<string, string>>(() => {
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const initial: Record<string, string> = {};
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participants.forEach(p => {
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const d = existingData[p.id];
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if (d?.ranking !== null && d?.ranking !== undefined) initial[p.id] = d.ranking.toString();
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});
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return initial;
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});
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const [winsValues, setWinsValues] = useState<Record<string, string>>(() => {
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const initial: Record<string, string> = {};
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if (simulatorConfig) {
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participants.forEach(p => {
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const d = existingData[p.id];
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if (d?.elo !== null && d?.elo !== undefined) {
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initial[p.id] = eloToProjectedWins(
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d.elo, simulatorConfig.seasonGames, simulatorConfig.parityFactor, simulatorConfig.averageOpponentElo
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).toFixed(1);
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}
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});
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}
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return initial;
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});
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const [bulkText, setBulkText] = useState('');
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const [parseResults, setParseResults] = useState<{
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matched: Array<{ participantId: string; name: string; elo: number; ranking: number | null; inputName: string }>;
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unmatched: Array<{ inputName: string; elo: number; ranking: number | null }>;
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} | null>(null);
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function findParticipantMatch(inputName: string) {
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const normalizedInput = normalizeName(inputName);
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const normalized = participants.map(p => ({ p, n: normalizeName(p.name) }));
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const exact = normalized.find(({ n }) => n === normalizedInput);
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if (exact) return exact.p;
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const contains = normalized.find(({ n }) => n.includes(normalizedInput) || normalizedInput.includes(n));
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if (contains) return contains.p;
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const inputWords = normalizedInput.split(' ').filter(w => w.length > 2);
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const overlap = normalized.find(({ n }) => {
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const pWords = n.split(' ').filter(w => w.length > 2);
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const shared = inputWords.filter(w => pWords.includes(w));
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return shared.length > 0 && shared.length >= Math.min(inputWords.length, pWords.length) * 0.5;
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});
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return overlap?.p ?? null;
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}
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function parseBulkText() {
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const lines = bulkText.split('\n');
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const matched: Array<{ participantId: string; name: string; elo: number; ranking: number | null; inputName: string }> = [];
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const unmatched: Array<{ inputName: string; elo: number; ranking: number | null }> = [];
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const seen = new Set<string>();
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for (const line of lines) {
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const trimmed = line.trim();
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if (!trimmed) continue;
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if (inputMode === 'projectedWins' && simulatorConfig) {
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const match = /^(.+?)[\s,:\t]+(\d+(?:\.\d+)?)\s*$/.exec(trimmed);
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if (!match) continue;
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const inputName = match[1].trim();
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const projectedWins = parseFloat(match[2]);
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if (isNaN(projectedWins) || projectedWins < 0 || projectedWins > simulatorConfig.seasonGames) continue;
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const elo = projectedWinsToElo(projectedWins, simulatorConfig.seasonGames, simulatorConfig.parityFactor, simulatorConfig.averageOpponentElo);
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const participant = findParticipantMatch(inputName);
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if (participant && !seen.has(participant.id)) {
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seen.add(participant.id);
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matched.push({ participantId: participant.id, name: participant.name, elo, ranking: null, inputName });
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} else if (!participant) {
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unmatched.push({ inputName, elo, ranking: null });
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}
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} else {
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const match = usesRanking
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? /^(.+?)[\s,:\t]+(\d{3,5})(?:[\s,:\t]+(\d{1,3}))?\s*$/.exec(trimmed)
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: /^(.+?)[\s,:\t]+(\d{3,5})\s*$/.exec(trimmed);
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if (!match) continue;
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const inputName = match[1].trim();
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const elo = parseInt(match[2], 10);
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const ranking = usesRanking && match[3] ? parseInt(match[3], 10) : null;
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if (isNaN(elo) || elo < 500 || elo > 5000) continue;
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const participant = findParticipantMatch(inputName);
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if (participant && !seen.has(participant.id)) {
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seen.add(participant.id);
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matched.push({ participantId: participant.id, name: participant.name, elo, ranking, inputName });
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} else if (!participant) {
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unmatched.push({ inputName, elo, ranking });
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}
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}
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}
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setParseResults({ matched, unmatched });
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}
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function applyMatches() {
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if (!parseResults) return;
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const newElos = { ...eloValues };
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const newRanks = { ...rankValues };
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const newWins = { ...winsValues };
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for (const m of parseResults.matched) {
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newElos[m.participantId] = m.elo.toString();
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if (m.ranking !== null) newRanks[m.participantId] = m.ranking.toString();
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if (inputMode === 'projectedWins' && simulatorConfig) {
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newWins[m.participantId] = eloToProjectedWins(
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m.elo, simulatorConfig.seasonGames, simulatorConfig.parityFactor, simulatorConfig.averageOpponentElo
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).toFixed(1);
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}
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}
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setEloValues(newElos);
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setRankValues(newRanks);
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setWinsValues(newWins);
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setParseResults(null);
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setBulkText('');
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}
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const isSubmitting = navigation.state === 'submitting';
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const simulatorType = sportsSeason.sport?.simulatorType ?? null;
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const rankLabel = rankingLabel(simulatorType);
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// When ranking is available, sort by rank ascending, then unranked alphabetically
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const sortedParticipants = usesRanking
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? [...participants].toSorted((a, b) => {
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const rankA = rankValues[a.id] ? parseInt(rankValues[a.id], 10) : null;
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const rankB = rankValues[b.id] ? parseInt(rankValues[b.id], 10) : null;
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if (rankA !== null && rankB !== null) return rankA - rankB;
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if (rankA !== null) return -1;
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if (rankB !== null) return 1;
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return a.name.localeCompare(b.name);
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})
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: participants;
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return (
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<div className="container mx-auto py-8">
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<div className="mb-8">
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<h1 className="text-3xl font-bold mb-2">Elo Ratings</h1>
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<p className="text-muted-foreground">
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{sportsSeason.sport.name} — {sportsSeason.name}
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</p>
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</div>
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{/* Input Mode Toggle */}
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{canUseProjectedWins && !usesRanking && (
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<div className="mb-6 flex gap-2">
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<Button
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type="button"
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variant={inputMode === 'elo' ? 'default' : 'outline'}
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onClick={() => setInputMode('elo')}
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>
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Elo Ratings
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</Button>
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<Button
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type="button"
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variant={inputMode === 'projectedWins' ? 'default' : 'outline'}
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onClick={() => setInputMode('projectedWins')}
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>
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Projected Wins
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</Button>
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</div>
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)}
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{/* Bulk Import */}
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<Card className="mb-6">
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<CardHeader>
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<CardTitle>Bulk Import</CardTitle>
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<CardDescription>
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{inputMode === 'projectedWins' && simulatorConfig ? (
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<>
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Paste projected season wins one per line. Format: <code>Team Name, 15.6</code>.
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Wins are automatically converted to Elo ratings using {simulatorConfig.seasonGames} total games
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and parity factor {simulatorConfig.parityFactor}. Names are fuzzy-matched to participants.
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</>
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) : usesRanking ? (
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<>
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Paste one entry per line. Format:{' '}
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<code>Name, Elo, {rankLabel}</code> (ranking is optional — omit it and the simulator
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will use Elo order for seeding). Names are fuzzy-matched to participants.
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</>
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) : (
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<>
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Paste Elo ratings one per line. Format: <code>Player Name, 2450</code>. Player names
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are fuzzy-matched to participants.
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</>
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)}
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</CardDescription>
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</CardHeader>
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<CardContent className="space-y-4">
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<Textarea
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||
placeholder={
|
||
inputMode === 'projectedWins'
|
||
? `Team Name, 15.6\nTeam Name, 14.5\nTeam Name, 13.8`
|
||
: usesRanking
|
||
? simulatorType === 'cs2_major_qualifying_points'
|
||
? `Natus Vincere, 1850, 1\nFaZe Clan, 1820, 2\nVitality, 1810, 3`
|
||
: `Luke Littler, 2099, 1\nMichael van Gerwen, 1950, 2\nLuke Humphries, 1947, 3`
|
||
: `Judd Trump, 2594\nRonnie O'Sullivan, 2441\nMark Selby, 2432`
|
||
}
|
||
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 Ratings
|
||
</Button>
|
||
|
||
{parseResults && (
|
||
<div className="space-y-3">
|
||
{parseResults.matched.length > 0 && (
|
||
<div>
|
||
<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>
|
||
<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} → Elo {m.elo}
|
||
{usesRanking && m.ranking !== null ? `, ${rankLabel} #${m.ranking}` : ''}
|
||
</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 => (
|
||
<div key={u.inputName} className="flex justify-between px-3 py-1.5">
|
||
<span>{u.inputName}</span>
|
||
<span className="font-medium">
|
||
Elo {u.elo}
|
||
{usesRanking && u.ranking !== null ? `, ${rankLabel} #${u.ranking}` : ''}
|
||
</span>
|
||
</div>
|
||
))}
|
||
</div>
|
||
</div>
|
||
)}
|
||
|
||
{parseResults.matched.length > 0 && (
|
||
<Button type="button" onClick={applyMatches}>
|
||
Apply {parseResults.matched.length} matched ratings to form
|
||
</Button>
|
||
)}
|
||
</div>
|
||
)}
|
||
</CardContent>
|
||
</Card>
|
||
|
||
<div className="grid gap-6 lg:grid-cols-2">
|
||
<Card>
|
||
<CardHeader>
|
||
<CardTitle>
|
||
{inputMode === 'projectedWins'
|
||
? `Projected Season Wins (out of ${simulatorConfig?.seasonGames ?? '?'})`
|
||
: usesRanking
|
||
? `Player Elo & ${rankLabel}s`
|
||
: 'Player Elo Ratings'}
|
||
</CardTitle>
|
||
<CardDescription>
|
||
{inputMode === 'projectedWins'
|
||
? 'Enter each team\'s projected total season wins. Converted to Elo automatically. Saving will run the simulation and update expected values.'
|
||
: usesRanking
|
||
? `Enter each player's Elo and ${rankLabel}. Saving will automatically run the simulation and update expected values.`
|
||
: 'Enter each player\'s current Elo rating. Saving will automatically run the simulation and update expected values.'}
|
||
</CardDescription>
|
||
</CardHeader>
|
||
<CardContent>
|
||
<Form method="post" className="space-y-4">
|
||
<input type="hidden" name="inputMode" value={inputMode} />
|
||
{usesRanking && inputMode === 'elo' && (
|
||
<div className="grid grid-cols-[1fr_100px_90px] gap-x-3 gap-y-1 items-center text-xs font-medium text-muted-foreground">
|
||
<span>Player</span>
|
||
<span>Elo</span>
|
||
<span>{rankLabel} #</span>
|
||
</div>
|
||
)}
|
||
{inputMode === 'projectedWins' && (
|
||
<div className="grid grid-cols-[1fr_100px] gap-x-3 gap-y-1 items-center text-xs font-medium text-muted-foreground">
|
||
<span>Team</span>
|
||
<span>Proj Wins</span>
|
||
</div>
|
||
)}
|
||
<div className="space-y-2">
|
||
{sortedParticipants.map(participant => {
|
||
if (inputMode === 'projectedWins' && simulatorConfig) {
|
||
return (
|
||
<div key={participant.id} className="grid grid-cols-[1fr_100px] gap-x-3 items-center">
|
||
<Label htmlFor={`wins_${participant.id}`} className="truncate text-sm">
|
||
{participant.name}
|
||
</Label>
|
||
<Input
|
||
type="number"
|
||
step="0.1"
|
||
id={`wins_${participant.id}`}
|
||
name={`wins_${participant.id}`}
|
||
placeholder={`${(simulatorConfig.seasonGames / 2).toFixed(1)}`}
|
||
value={winsValues[participant.id] ?? ''}
|
||
onChange={e =>
|
||
setWinsValues(prev => ({ ...prev, [participant.id]: e.target.value }))
|
||
}
|
||
className="h-8 text-sm"
|
||
/>
|
||
</div>
|
||
);
|
||
}
|
||
|
||
return (
|
||
<div
|
||
key={participant.id}
|
||
className={usesRanking
|
||
? 'grid grid-cols-[1fr_100px_90px] gap-x-3 items-center'
|
||
: 'grid grid-cols-2 gap-4 items-center'}
|
||
>
|
||
<Label htmlFor={`elo_${participant.id}`} className="truncate text-sm">
|
||
{participant.name}
|
||
</Label>
|
||
<Input
|
||
type="number"
|
||
id={`elo_${participant.id}`}
|
||
name={`elo_${participant.id}`}
|
||
placeholder={usesRanking ? '1800' : '2450'}
|
||
value={eloValues[participant.id] ?? ''}
|
||
onChange={e =>
|
||
setEloValues(prev => ({ ...prev, [participant.id]: e.target.value }))
|
||
}
|
||
className={usesRanking ? 'h-8 text-sm' : undefined}
|
||
/>
|
||
{usesRanking && (
|
||
<Input
|
||
type="number"
|
||
name={`rank_${participant.id}`}
|
||
placeholder="—"
|
||
value={rankValues[participant.id] ?? ''}
|
||
onChange={e =>
|
||
setRankValues(prev => ({ ...prev, [participant.id]: e.target.value }))
|
||
}
|
||
className="h-8 text-sm"
|
||
/>
|
||
)}
|
||
</div>
|
||
);
|
||
})}
|
||
</div>
|
||
|
||
{actionData && !actionData.success && actionData.message && (
|
||
<div className="text-sm text-destructive">{actionData.message}</div>
|
||
)}
|
||
|
||
<Button type="submit" disabled={isSubmitting}>
|
||
{isSubmitting && <Loader2 className="mr-2 h-4 w-4 animate-spin" />}
|
||
{isSubmitting ? 'Saving & Running Simulation...' : 'Save Ratings & Run Simulation'}
|
||
</Button>
|
||
</Form>
|
||
</CardContent>
|
||
</Card>
|
||
|
||
<Card>
|
||
<CardHeader>
|
||
<CardTitle>How It Works</CardTitle>
|
||
</CardHeader>
|
||
<CardContent className="text-sm space-y-2">
|
||
{inputMode === 'projectedWins' ? (
|
||
<ol className="list-decimal list-inside space-y-2">
|
||
<li>Enter each team's projected total season wins</li>
|
||
<li>Wins are converted to Elo ratings using the inverse Elo formula</li>
|
||
<li>Elo ratings are saved and the simulation runs automatically</li>
|
||
<li>Results: probability distributions across 1st–8th place buckets</li>
|
||
<li>Expected fantasy value is calculated per team</li>
|
||
</ol>
|
||
) : (
|
||
<ol className="list-decimal list-inside space-y-2">
|
||
<li>Save Elo ratings{usesRanking ? ` and ${rankLabel}s` : ''} for all participants</li>
|
||
<li>Compute per-game win probability from Elo difference</li>
|
||
<li>Compute match win probability using the Bernoulli model for each round's format</li>
|
||
<li>Run Monte Carlo simulations of the full event</li>
|
||
<li>Distribute probabilities across 1st–8th place buckets</li>
|
||
<li>Calculate expected fantasy value per player</li>
|
||
</ol>
|
||
)}
|
||
{usesRanking && inputMode === 'elo' && (
|
||
<div className="mt-4 text-muted-foreground text-xs">
|
||
{rankLabel} is optional — if omitted, the simulator uses Elo order for seeding.
|
||
</div>
|
||
)}
|
||
{inputMode === 'projectedWins' && simulatorConfig && (
|
||
<div className="mt-4 text-muted-foreground text-xs">
|
||
Conversion: Elo = {simulatorConfig.averageOpponentElo} − {simulatorConfig.parityFactor} × log₁₀((1 − winRate) / winRate),
|
||
where winRate = projectedWins / {simulatorConfig.seasonGames}.
|
||
</div>
|
||
)}
|
||
</CardContent>
|
||
</Card>
|
||
</div>
|
||
</div>
|
||
);
|
||
}
|