Files
vyndr/scripts/prove-hit-factors.js
T
builtbykev 20c45cbcd1 The causally-correct defence atom proves where the crude one did not
Kev's insight holds, and the data says so cleanly. defense_by_direction PROVES
on hits -- n=528, Brier -0.0034, interval [-0.0059, -0.0009] at the 99.9% level
the cumulative correction now demands -- while team-average defence remains not
proven, its interval still spanning zero. Same signal, same rows, different
unit.

The detail worth keeping is that the causally-correct atom moves the number
LESS THAN HALF as much as the crude one, 0.013 against 0.030, and is the one
that is reliably right. The team average was moving more and knowing less. Big
movement is not evidence of a good factor; it is frequently the tell.

Both halves turned out to be free, as the order expected. Savant's batted-ball
leaderboard carries pull/straight/oppo crossed with ground/air for 609 hitters
-- the statcast leaderboard we already pull does not, it has nineteen columns
and no direction at all -- and the OAA feed already carries each fielder's
position, so per-position defence is a regrouping of last week's ingest rather
than a new source. Verified in production: 609 spray profiles, 31 teams.

Handedness is what joins them and getting it backwards would have been
invisible. Pull for a right-handed hitter is the left side; for a left-handed
hitter it is the right side. A model that ignored `bats` would send half the
league's grounders to the wrong infielders and still look like it was reading
defence, and nothing downstream would have caught it. Switch hitters bat
opposite the pitcher, which this does not resolve, so they are unreadable
rather than guessed.

Unmeasured zones are renormalised away rather than contributing a zero, since a
zero asserts an exactly-average fielder standing there, and coverage states
honestly what share of a hitter's contact we could actually read.

ATOM 2 is input-blocked rather than sample-blocked, and the distinction matters
because waiting will not fix it. The weather free-source check passes --
Open-Meteo is already wired and exposes temperature, wind speed, wind direction
and precipitation -- but those raw fields are collapsed into a single scalar
modifier and wx_forecast is empty on all 1,119 settled rows. Park DIMENSIONS
are not ingested at all; parkFactors holds coefficients, not wall heights or
fence distances. A park-and-weather-to-hit-type conversion needs both, so it is
scoped rather than half-built: retaining the raw weather fields is the cheap
half, dimensions are the missing one.

Proven factors for hits are now pitcher_contact_profile and
defense_by_direction, both pooled; every per-archetype slot remains
sample-blocked.

4,297 tests green (342 suites); web build exit 0.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01W1sivYNqY2TS5ftykmHBU9
2026-08-04 20:01:09 -04:00

230 lines
10 KiB
JavaScript

#!/usr/bin/env node
'use strict';
/**
* prove-hit-factors — does the hit grade read tonight's game, or say "he's due"?
*
* Each factor is conditioned against the player's OWN base rate and put through
* the two-part gate: it must MOVE the prediction and the moved prediction must
* be MORE ACCURATE out-of-sample. Movement alone is THEATER — a grade that
* swings on park and platoon looks like it read the matchup, and a user cannot
* tell the difference from outside.
*
* The baseline is deliberately the honest null this order describes: the
* player's base rate, i.e. "he's due" with no reading of tonight at all. A
* factor earns its place only by beating that.
*
* SUPABASE_URL=... node scripts/prove-hit-factors.js
*/
require('dotenv').config();
const { createClient } = require('@supabase/supabase-js');
const fg = require('../src/services/model/factorGate');
const sk = require('../src/services/model/skillProjection');
const tl = require('../src/services/model/testLedger');
const mlb = require('../src/services/adapters/mlbStatsAdapter');
const { knownNumber, knownRate } = require('../src/utils/known');
const { nameKey } = require('../src/utils/playerName');
const sd = require('../src/services/model/sprayDefense');
const SB_URL = process.env.SUPABASE_URL;
const SB_KEY = process.env.SUPABASE_SERVICE_ROLE_KEY || process.env.SUPABASE_SERVICE_KEY;
const PAGE = 1000;
const ARCHS = (process.env.HF_ARCHETYPES || 'BOMBER,GHOST,ALL').split(',');
async function page(sb, table, select, apply) {
const out = [];
for (let from = 0; ; from += PAGE) {
const { data, error } = await apply(sb.from(table).select(select)).range(from, from + PAGE - 1);
if (error) throw error;
if (!data || data.length === 0) break;
out.push(...data);
if (data.length < PAGE) break;
}
return out;
}
/**
* THE FACTORS. Each returns a MULTIPLIER on the base rate, or null when the
* input is absent — an absent factor must leave the baseline untouched rather
* than nudge it toward some default.
*/
const FACTORS = [
{
key: 'defense_by_direction',
needs: ['spray_multiplier'],
mechanism: 'CAUSALLY-CORRECT DEFENCE. Where the hitter puts the ball (pull/straight/oppo x ground/air) crossed with the OAA of the fielders actually standing in those zones, joined by handedness. Team-average failed the gate because it averages in five fielders who will never touch his ball.',
apply: (r) => r.spray_multiplier,
},
{
key: 'defense',
needs: ['team_defense'],
mechanism: 'A ball in play becomes a hit or an out partly by who is standing behind the pitcher. Should matter most where contact stays in the park.',
// More outs converted above average -> fewer hits.
apply: (r) => 1 - Math.max(-0.12, Math.min(0.12, r.team_defense / 250)),
},
{
key: 'pitcher_contact_profile',
needs: ['pitcher_hard_hit_allowed'],
mechanism: 'A contact-allowing arm concedes better contact than a bat-misser; hit probability should follow the quality of contact he permits.',
apply: (r) => 1 + Math.max(-0.15, Math.min(0.15, (r.pitcher_hard_hit_allowed - 0.389) * 1.2)),
},
{
key: 'park_hits',
needs: ['park_factor'],
mechanism: 'Some parks turn outs into hits without producing runs — big outfields, high walls, deep gaps.',
apply: (r) => r.park_factor,
caveat: 'STAT_BASE maps hits -> run_base, so this is a RUN factor standing in for a HITS factor. A park that converts outs to hits without scoring is invisible to it.',
},
{
key: 'platoon',
needs: ['platoon_edge'],
mechanism: 'Handedness advantage — a hitter facing the opposite hand sees the ball better and hits it harder.',
apply: (r) => (r.platoon_edge > 0 ? 1.06 : 0.96),
},
];
async function main() {
if (!SB_URL || !SB_KEY) throw new Error('SUPABASE_URL / service key required');
const sb = createClient(SB_URL, SB_KEY, { auth: { persistSession: false } });
const statcast = await page(sb, 'statcast_aggregates', '*', (q) => q.eq('sport', 'mlb'));
const batters = new Map(); const pitchersById = new Map();
for (const r of statcast) {
const prof = sk.fromStatcastRow(r);
if (r.role === 'pitcher' && r.source_id != null) pitchersById.set(Number(r.source_id), prof);
if (r.role === 'batter' && r.player_key) batters.set(r.player_key, prof);
}
const sprayRows = await page(sb, 'batter_spray', '*', (q) => q.eq('sport', 'mlb'));
const sprayByKey = new Map();
for (const r of sprayRows) {
if (!r.player_key) continue;
const prev = sprayByKey.get(r.player_key);
if (!prev || String(r.as_of_date) > String(prev.as_of_date)) sprayByKey.set(r.player_key, r);
}
const defRows = await page(sb, 'team_defense', '*', (q) => q.eq('sport', 'mlb'));
const defByTeam = new Map();
for (const d of defRows) defByTeam.set(d.team, d);
const snaps = await page(sb, 'model_snapshots', 'player_key, game_date, archetype, stat',
(q) => q.eq('sport', 'mlb').eq('stat', 'hits').not('archetype', 'is', null));
const archOf = new Map();
for (const s of snaps) archOf.set(`${s.player_key}|${s.game_date}`, s.archetype);
const led = await page(sb, 'ledger_entries',
'id, player_key, player_name, line, side, outcome, game_date, p_win, quarantine_reason, env_park_base',
(q) => q.eq('sport', 'mlb').is('user_id', null).eq('stat', 'hits')
.in('outcome', ['hit', 'miss']).not('p_win', 'is', null));
const clean = led.filter((r) => !(r.quarantine_reason || '').startsWith('nontakeable_book'));
// Opponent faced, from each hitter's own game log.
const names = new Map();
for (const r of clean) if (!names.has(r.player_key)) names.set(r.player_key, r.player_name);
const oppBy = new Map(); const startersBy = new Map();
const dates = [...new Set(clean.map((r) => r.game_date))].sort();
for (const d of dates) {
try {
const games = await mlb.getScheduleWithPitchers(d);
for (const g of games) {
if (!g.home || !g.away) continue;
if (g.home.probablePitcher) startersBy.set(`${d}|OPP:${g.home.team}`, g.home.probablePitcher.id);
if (g.away.probablePitcher) startersBy.set(`${d}|OPP:${g.away.team}`, g.away.probablePitcher.id);
}
} catch { /* absent slate */ }
}
for (const [key, name] of names) {
try {
const found = await mlb.searchPlayer(name);
if (!found || !found.id) continue;
const log = await mlb.getPlayerGameLog(found.id);
for (const g of log || []) if (g && g.date && g.opponent) oppBy.set(`${key}|${String(g.date).slice(0, 10)}`, g.opponent);
} catch { /* no log */ }
}
// Per-player base rate — the honest null: "he's due", no reading of tonight.
const byPlayer = new Map();
for (const r of clean) {
const cur = byPlayer.get(r.player_key) || { n: 0, w: 0 };
cur.n += 1; cur.w += r.outcome === 'hit' ? 1 : 0;
byPlayer.set(r.player_key, cur);
}
const rows = [];
for (const r of clean) {
const bat = batters.get(r.player_key);
const bp = byPlayer.get(r.player_key);
if (!bp || bp.n < 3) continue;
// Leave-one-out so a row never contributes to its own baseline.
const baseline = (bp.w - (r.outcome === 'hit' ? 1 : 0)) / (bp.n - 1);
const faced = oppBy.get(`${r.player_key}|${r.game_date}`) || null;
const nick = faced ? String(faced).split(' ').pop() : null;
const def = faced ? (defByTeam.get(faced) || defByTeam.get(nick)) : null;
const starterId = faced ? startersBy.get(`${r.game_date}|OPP:${faced}`) : null;
const pit = starterId != null ? pitchersById.get(Number(starterId)) : null;
rows.push({
id: r.id,
archetype: archOf.get(`${r.player_key}|${r.game_date}`) || null,
won: r.outcome === 'hit' ? 1 : 0,
baseline,
team_defense: def ? knownNumber(def.oaa_sum) : null,
pitcher_hard_hit_allowed: pit ? knownRate(pit.hard_hit_pct) : null,
park_factor: knownNumber(r.env_park_base),
spray_multiplier: (() => {
const sp = sprayByKey.get(r.player_key);
const posOaa = def && def.position_oaa ? def.position_oaa : null;
if (!sp || !posOaa || !bat || !bat.bats) return null;
const out = sd.sprayDefenseMultiplier({ spray: sp, bats: bat.bats, positionOaa: posOaa });
return out ? out.multiplier : null;
})(),
platoon_edge: (bat && pit && bat.bats && pit.throws)
? (String(bat.bats)[0] !== String(pit.throws)[0] ? 1 : -1) : null,
});
}
// Cumulative Bonferroni across the programme lifetime.
const store = tl.supabaseStore(sb);
const mc = await tl.recordAndCount(store, FACTORS.flatMap((f) =>
ARCHS.map((a) => ({ sport: 'mlb', stat: 'hits', archetype: a === 'ALL' ? null : a, interaction: `factor:${f.key}`, target: 'outcome' }))));
const results = [];
for (const arch of ARCHS) {
const slot = arch === 'ALL' ? rows : rows.filter((r) => String(r.archetype || '').toUpperCase() === arch);
for (const f of FACTORS) {
const usable = slot.filter((r) => f.needs.every((k) => knownNumber(r[k]) !== null));
const paired = usable.map((r) => {
const mult = f.apply(r);
const cond = mult === null ? null : Math.min(0.99, Math.max(0.01, r.baseline * mult));
return { baseline: r.baseline, conditioned: cond, won: r.won };
});
const v = fg.adjudicate(paired, {
factor: f.key, archetype: arch, stat: 'hits',
cumulativeTests: mc.cumulative_tests, // native cumulative correction
});
results.push({
archetype: arch, factor: f.key, n: v.movement.n,
mean_abs_shift: v.movement.mean_abs_shift,
brier_delta: v.improvement ? v.improvement.brier_delta : null,
ci: v.improvement ? v.improvement.ci : null,
ci_level: v.improvement ? v.improvement.ci_level : null,
verdict: v.verdict,
reason: v.reason,
...(f.caveat ? { input_caveat: f.caveat } : {}),
});
}
}
console.log(JSON.stringify({
baseline: "each row scored against the player's OWN leave-one-out base rate — the honest 'he's due' null",
total_rows: rows.length,
cumulative_bonferroni: mc,
gate: 'a factor must MOVE the prediction AND improve out-of-sample Brier; movement alone is THEATER',
results,
proven: results.filter((r) => r.verdict === 'PROVES'),
theater: results.filter((r) => r.verdict === 'THEATER'),
}, null, 2));
process.exit(0);
}
main().catch((e) => { console.error(e); process.exit(1); });