brackt/app/routes/admin.sports-seasons.$id.elo-ratings.tsx
Chris Parsons 7fa88fc0ef
Add projected-wins input mode to admin Elo Ratings page (#306)
* 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>
2026-04-17 12:40:08 -07:00

660 lines
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TypeScript
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import { Form, redirect, useLoaderData, useActionData, useNavigation } from 'react-router';
import type { Route } from './+types/admin.sports-seasons.$id.elo-ratings';
import { logger } from '~/lib/logger';
import { findSportsSeasonById, updateSportsSeason } from '~/models/sports-season';
import { findParticipantsBySportsSeasonId } from '~/models/participant';
import {
getAllParticipantEVsForSeason,
batchSaveSourceElos,
batchUpsertParticipantEVs,
} from '~/models/participant-expected-value';
import { batchUpsertParticipantEvSnapshots } from '~/models/ev-snapshot';
import { getSimulator, type SimulatorType } from '~/services/simulations/registry';
import { calculateEV } from '~/services/ev-calculator';
import { DEFAULT_SCORING_RULES } from '~/lib/scoring-types';
import { recalculateStandings } from '~/models/scoring-calculator';
import { database } from '~/database/context';
import * as schema from '~/database/schema';
import { eq } from 'drizzle-orm';
import { Button } from '~/components/ui/button';
import { Input } from '~/components/ui/input';
import { Label } from '~/components/ui/label';
import { Textarea } from '~/components/ui/textarea';
import {
Card,
CardContent,
CardDescription,
CardHeader,
CardTitle,
} from '~/components/ui/card';
import { useState } from 'react';
import { Loader2, CheckCircle2, AlertCircle } from 'lucide-react';
import { normalizeName } from '~/lib/fuzzy-match';
import { getSimulatorConfig, supportsProjectedWins } from '~/services/simulations/simulator-config';
import { eloToProjectedWins, projectedWinsToElo } from '~/services/probability-engine';
// Simulator types that use worldRanking in addition to sourceElo
const RANKING_SIMULATOR_TYPES = new Set(['darts_bracket', 'cs2_major_qualifying_points']);
function rankingLabel(simulatorType: string | null | undefined): string {
if (simulatorType === 'cs2_major_qualifying_points') return 'HLTV Rank';
return 'World Rank';
}
export function meta({ data }: Route.MetaArgs): Route.MetaDescriptors {
return [{ title: `Elo Ratings — ${data?.sportsSeason?.name ?? "Sports Season"} - Brackt Admin` }];
}
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);
const existingData: Record<string, { elo: number | null; ranking: number | null }> = {};
for (const ev of existingEVs) {
existingData[ev.participantId] = {
elo: ev.sourceElo ?? null,
ranking: ev.worldRanking ?? null,
};
}
const usesRanking = RANKING_SIMULATOR_TYPES.has(sportsSeason.sport?.simulatorType ?? '');
const simulatorConfig = sportsSeason.sport?.simulatorType
? getSimulatorConfig(sportsSeason.sport.simulatorType as SimulatorType)
: null;
const canUseProjectedWins = sportsSeason.sport?.simulatorType
? supportsProjectedWins(sportsSeason.sport.simulatorType as SimulatorType)
: false;
return { sportsSeason, participants, existingData, usesRanking, simulatorConfig, canUseProjectedWins };
}
interface ActionData {
success?: boolean;
message?: string;
}
export async function action({ request, params }: Route.ActionArgs) {
const sportsSeasonId = params.id;
const formData = await request.formData();
const sportsSeason = await findSportsSeasonById(sportsSeasonId);
if (!sportsSeason) {
return { success: false, message: 'Sports season not found' };
}
const participants = await findParticipantsBySportsSeasonId(sportsSeasonId);
const usesRanking = RANKING_SIMULATOR_TYPES.has(sportsSeason.sport?.simulatorType ?? '');
const rawMode = formData.get('inputMode');
const inputMode = rawMode === 'projectedWins' ? 'projectedWins' : 'elo';
const eloInputs: Array<{ participantId: string; sportsSeasonId: string; sourceElo: number; worldRanking?: number | null }> = [];
if (inputMode === 'projectedWins' && sportsSeason.sport?.simulatorType) {
const config = getSimulatorConfig(sportsSeason.sport.simulatorType as SimulatorType);
if (!config) {
return { success: false, message: 'This sport does not support projected wins input.' };
}
for (const participant of participants) {
const winsVal = formData.get(`wins_${participant.id}`) as string;
if (winsVal && winsVal.trim() !== '') {
const projectedWins = parseFloat(winsVal);
if (!isNaN(projectedWins) && projectedWins >= 0 && projectedWins <= config.seasonGames) {
const elo = projectedWinsToElo(projectedWins, config.seasonGames, config.parityFactor, config.averageOpponentElo);
eloInputs.push({ participantId: participant.id, sportsSeasonId, sourceElo: elo });
}
}
}
} else {
for (const participant of participants) {
const eloVal = formData.get(`elo_${participant.id}`) as string;
const rankVal = formData.get(`rank_${participant.id}`) as string;
if (eloVal && eloVal.trim() !== '') {
const elo = Number(eloVal);
if (!isNaN(elo) && elo > 0) {
if (usesRanking) {
const ranking = rankVal && rankVal.trim() !== '' ? Number(rankVal) : null;
eloInputs.push({
participantId: participant.id,
sportsSeasonId,
sourceElo: elo,
worldRanking: ranking && !isNaN(ranking) && ranking > 0 ? ranking : null,
});
} else {
eloInputs.push({ participantId: participant.id, sportsSeasonId, sourceElo: elo });
}
}
}
}
}
if (eloInputs.length === 0) {
return { success: false, message: inputMode === 'projectedWins'
? 'Please enter projected wins for at least one participant'
: 'Please enter an Elo rating for at least one participant' };
}
if (!sportsSeason.sport?.simulatorType) {
return { success: false, message: 'This sport has no simulator type configured. Set one on the sport in the admin panel.' };
}
if (sportsSeason.simulationStatus === 'running') {
return { success: false, message: 'A simulation is already running. Please wait.' };
}
await batchSaveSourceElos(eloInputs);
await updateSportsSeason(sportsSeasonId, { simulationStatus: 'running' });
try {
const simulator = getSimulator(sportsSeason.sport.simulatorType as SimulatorType);
const results = await simulator.simulate(sportsSeasonId);
if (results.length === 0) {
throw new Error('Simulation returned no results.');
}
const simulatedIds = new Set(results.map(r => r.participantId));
const ZERO_PROBS = {
probFirst: 0, probSecond: 0, probThird: 0, probFourth: 0,
probFifth: 0, probSixth: 0, probSeventh: 0, probEighth: 0,
};
const evInputs = [
...results.map(r => ({
participantId: r.participantId,
sportsSeasonId,
probabilities: r.probabilities,
scoringRules: DEFAULT_SCORING_RULES,
source: 'elo_simulation' as const,
})),
...participants
.filter(p => !simulatedIds.has(p.id))
.map(p => ({
participantId: p.id,
sportsSeasonId,
probabilities: ZERO_PROBS,
scoringRules: DEFAULT_SCORING_RULES,
source: 'elo_simulation' as const,
})),
];
await batchUpsertParticipantEVs(evInputs);
const seasonSports = await database().query.seasonSports.findMany({
where: eq(schema.seasonSports.sportsSeasonId, sportsSeasonId),
});
await Promise.all(seasonSports.map(({ seasonId }) => recalculateStandings(seasonId)));
const today = new Date().toISOString().slice(0, 10);
await batchUpsertParticipantEvSnapshots(
results.map(r => ({
participantId: r.participantId,
sportsSeasonId,
snapshotDate: today,
probFirst: r.probabilities.probFirst,
probSecond: r.probabilities.probSecond,
probThird: r.probabilities.probThird,
probFourth: r.probabilities.probFourth,
probFifth: r.probabilities.probFifth,
probSixth: r.probabilities.probSixth,
probSeventh: r.probabilities.probSeventh,
probEighth: r.probabilities.probEighth,
calculatedEV: calculateEV(r.probabilities, DEFAULT_SCORING_RULES),
source: r.source,
}))
);
await updateSportsSeason(sportsSeasonId, { simulationStatus: 'idle' });
} catch (error) {
await updateSportsSeason(sportsSeasonId, { simulationStatus: 'failed' });
logger.error('Error running simulation:', error);
return {
success: false,
message: error instanceof Error ? error.message : 'Simulation failed',
};
}
return redirect(`/admin/sports-seasons/${sportsSeasonId}/expected-values`);
}
export default function AdminSportsSeasonEloRatings() {
const { sportsSeason, participants, existingData, usesRanking, simulatorConfig, canUseProjectedWins } = useLoaderData<typeof loader>();
const actionData = useActionData<ActionData>();
const navigation = useNavigation();
const [inputMode, setInputMode] = useState<'elo' | 'projectedWins'>('elo');
const [eloValues, setEloValues] = useState<Record<string, string>>(() => {
const initial: Record<string, string> = {};
participants.forEach(p => {
const d = existingData[p.id];
if (d?.elo !== null && d?.elo !== undefined) initial[p.id] = d.elo.toString();
});
return initial;
});
const [rankValues, setRankValues] = useState<Record<string, string>>(() => {
const initial: Record<string, string> = {};
participants.forEach(p => {
const d = existingData[p.id];
if (d?.ranking !== null && d?.ranking !== undefined) initial[p.id] = d.ranking.toString();
});
return initial;
});
const [winsValues, setWinsValues] = useState<Record<string, string>>(() => {
const initial: Record<string, string> = {};
if (simulatorConfig) {
participants.forEach(p => {
const d = existingData[p.id];
if (d?.elo !== null && d?.elo !== undefined) {
initial[p.id] = eloToProjectedWins(
d.elo, simulatorConfig.seasonGames, simulatorConfig.parityFactor, simulatorConfig.averageOpponentElo
).toFixed(1);
}
});
}
return initial;
});
const [bulkText, setBulkText] = useState('');
const [parseResults, setParseResults] = useState<{
matched: Array<{ participantId: string; name: string; elo: number; ranking: number | null; inputName: string }>;
unmatched: Array<{ inputName: string; elo: number; ranking: number | null }>;
} | null>(null);
function findParticipantMatch(inputName: string) {
const normalizedInput = normalizeName(inputName);
const normalized = participants.map(p => ({ p, n: normalizeName(p.name) }));
const exact = normalized.find(({ n }) => n === normalizedInput);
if (exact) return exact.p;
const contains = normalized.find(({ n }) => n.includes(normalizedInput) || normalizedInput.includes(n));
if (contains) return contains.p;
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');
const matched: Array<{ participantId: string; name: string; elo: number; ranking: number | null; inputName: string }> = [];
const unmatched: Array<{ inputName: string; elo: number; ranking: number | null }> = [];
const seen = new Set<string>();
for (const line of lines) {
const trimmed = line.trim();
if (!trimmed) continue;
if (inputMode === 'projectedWins' && simulatorConfig) {
const match = /^(.+?)[\s,:\t]+(\d+(?:\.\d+)?)\s*$/.exec(trimmed);
if (!match) continue;
const inputName = match[1].trim();
const projectedWins = parseFloat(match[2]);
if (isNaN(projectedWins) || projectedWins < 0 || projectedWins > simulatorConfig.seasonGames) continue;
const elo = projectedWinsToElo(projectedWins, simulatorConfig.seasonGames, simulatorConfig.parityFactor, simulatorConfig.averageOpponentElo);
const participant = findParticipantMatch(inputName);
if (participant && !seen.has(participant.id)) {
seen.add(participant.id);
matched.push({ participantId: participant.id, name: participant.name, elo, ranking: null, inputName });
} else if (!participant) {
unmatched.push({ inputName, elo, ranking: null });
}
} else {
const match = usesRanking
? /^(.+?)[\s,:\t]+(\d{3,5})(?:[\s,:\t]+(\d{1,3}))?\s*$/.exec(trimmed)
: /^(.+?)[\s,:\t]+(\d{3,5})\s*$/.exec(trimmed);
if (!match) continue;
const inputName = match[1].trim();
const elo = parseInt(match[2], 10);
const ranking = usesRanking && match[3] ? parseInt(match[3], 10) : null;
if (isNaN(elo) || elo < 500 || elo > 5000) continue;
const participant = findParticipantMatch(inputName);
if (participant && !seen.has(participant.id)) {
seen.add(participant.id);
matched.push({ participantId: participant.id, name: participant.name, elo, ranking, inputName });
} else if (!participant) {
unmatched.push({ inputName, elo, ranking });
}
}
}
setParseResults({ matched, unmatched });
}
function applyMatches() {
if (!parseResults) return;
const newElos = { ...eloValues };
const newRanks = { ...rankValues };
const newWins = { ...winsValues };
for (const m of parseResults.matched) {
newElos[m.participantId] = m.elo.toString();
if (m.ranking !== null) newRanks[m.participantId] = m.ranking.toString();
if (inputMode === 'projectedWins' && simulatorConfig) {
newWins[m.participantId] = eloToProjectedWins(
m.elo, simulatorConfig.seasonGames, simulatorConfig.parityFactor, simulatorConfig.averageOpponentElo
).toFixed(1);
}
}
setEloValues(newElos);
setRankValues(newRanks);
setWinsValues(newWins);
setParseResults(null);
setBulkText('');
}
const isSubmitting = navigation.state === 'submitting';
const simulatorType = sportsSeason.sport?.simulatorType ?? null;
const rankLabel = rankingLabel(simulatorType);
// When ranking is available, sort by rank ascending, then unranked alphabetically
const sortedParticipants = usesRanking
? [...participants].toSorted((a, b) => {
const rankA = rankValues[a.id] ? parseInt(rankValues[a.id], 10) : null;
const rankB = rankValues[b.id] ? parseInt(rankValues[b.id], 10) : null;
if (rankA !== null && rankB !== null) return rankA - rankB;
if (rankA !== null) return -1;
if (rankB !== null) return 1;
return a.name.localeCompare(b.name);
})
: participants;
return (
<div className="container mx-auto py-8">
<div className="mb-8">
<h1 className="text-3xl font-bold mb-2">Elo Ratings</h1>
<p className="text-muted-foreground">
{sportsSeason.sport.name} {sportsSeason.name}
</p>
</div>
{/* Input Mode Toggle */}
{canUseProjectedWins && !usesRanking && (
<div className="mb-6 flex gap-2">
<Button
type="button"
variant={inputMode === 'elo' ? 'default' : 'outline'}
onClick={() => setInputMode('elo')}
>
Elo Ratings
</Button>
<Button
type="button"
variant={inputMode === 'projectedWins' ? 'default' : 'outline'}
onClick={() => setInputMode('projectedWins')}
>
Projected Wins
</Button>
</div>
)}
{/* Bulk Import */}
<Card className="mb-6">
<CardHeader>
<CardTitle>Bulk Import</CardTitle>
<CardDescription>
{inputMode === 'projectedWins' && simulatorConfig ? (
<>
Paste projected season wins one per line. Format: <code>Team Name, 15.6</code>.
Wins are automatically converted to Elo ratings using {simulatorConfig.seasonGames} total games
and parity factor {simulatorConfig.parityFactor}. Names are fuzzy-matched to participants.
</>
) : usesRanking ? (
<>
Paste one entry per line. Format:{' '}
<code>Name, Elo, {rankLabel}</code> (ranking is optional omit it and the simulator
will use Elo order for seeding). Names are fuzzy-matched to participants.
</>
) : (
<>
Paste Elo ratings one per line. Format: <code>Player Name, 2450</code>. Player names
are fuzzy-matched to participants.
</>
)}
</CardDescription>
</CardHeader>
<CardContent className="space-y-4">
<Textarea
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} &rarr; 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 1st8th 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 1st8th 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} &minus; {simulatorConfig.parityFactor} &times; log&#8321;&#8320;((1 &minus; winRate) / winRate),
where winRate = projectedWins / {simulatorConfig.seasonGames}.
</div>
)}
</CardContent>
</Card>
</div>
</div>
);
}