diff --git a/src/services/challengerProjection.js b/src/services/challengerProjection.js index a2c6d73..ed35f06 100644 --- a/src/services/challengerProjection.js +++ b/src/services/challengerProjection.js @@ -121,7 +121,7 @@ function envNudge(env, dirSign) { return clamp(raw, -MAX_ENV_NUDGE, MAX_ENV_NUDGE); } -function adjust({ pWin, direction, statType, classification, environment } = {}) { +function adjust({ pWin, direction, statType, classification, environment, matchup } = {}) { const p = num(pWin); const identical = (reason) => ({ p_win_challenger: p, delta: 0, adjustments: [], reason, version: CHALLENGER_VERSION, @@ -130,7 +130,13 @@ function adjust({ pWin, direction, statType, classification, environment } = {}) if (p == null || p <= 0 || p >= 1) return identical('no_champion_probability'); const envPresent = num(environment && environment.multiplier) != null && num(environment.multiplier) !== 1; - if ((!classification || !classification.sufficient) && !envPresent) { + // MATCHUP (platoon) is deliberately its OWN signal, not folded into the + // environment coefficient: park and weather describe the stadium, platoon + // describes this hitter against this pitcher's hand. Keeping them separate is + // what lets the instrument attribute them independently. + const matchupPresent = num(matchup && matchup.multiplier) != null + && num(matchup.multiplier) !== 1; + if ((!classification || !classification.sufficient) && !envPresent && !matchupPresent) { return identical('archetype_absent_or_thin'); } @@ -140,7 +146,7 @@ function adjust({ pWin, direction, statType, classification, environment } = {}) const map = ((classification && classification.sufficient) ? (role === 'pitcher' ? PITCHER_MAP : BATTER_MAP)[stat] : null) || {}; - if (!Object.keys(map).length && !envPresent) return identical('stat_not_mapped'); + if (!Object.keys(map).length && !envPresent && !matchupPresent) return identical('stat_not_mapped'); // Direction: a trait that raises the stat raises P(over) and lowers P(under). const dirSign = String(direction || 'over').toLowerCase() === 'under' ? -1 : 1; @@ -148,6 +154,24 @@ function adjust({ pWin, direction, statType, classification, environment } = {}) const adjustments = []; let total = 0; + // ── MATCHUP (platoon) — independent of the environment ───────────────── + const mMult = num(matchup && matchup.multiplier); + if (mMult != null && mMult !== 1) { + const n = envNudge(mMult, dirSign); + if (n) { + total += n; + adjustments.push({ + axis: 'matchup', label: matchup.label || 'PLATOON', + tier: 'matchup', nudge: Math.round(n * 1000) / 1000, + multiplier: Math.round(mMult * 1000) / 1000, + batter_hand: matchup.batter_hand ?? null, + pitcher_hand: matchup.pitcher_hand ?? null, + observed_pa: matchup.observed_pa ?? null, + observed_weight: matchup.observed_weight ?? null, + }); + } + } + // ── ENVIRONMENT (park now; weather composes onto it next order) ──────── // Applied even when no archetype axis fires: a park effect is real whether or // not the player is distinctive. `environment` is the COMPOSED multiplier. diff --git a/src/services/platoonSplits.js b/src/services/platoonSplits.js new file mode 100644 index 0000000..56f06b8 --- /dev/null +++ b/src/services/platoonSplits.js @@ -0,0 +1,208 @@ +'use strict'; + +/** + * PLATOON SPLITS (Layer 3, Step 6) — the highest-value and highest-noise signal. + * + * The market often prices a hitter's BLENDED line while tonight he faces only + * one handedness. That gap is the value. The danger is that platoon samples are + * the thinnest in baseball — a hitter may see ~130 PA vs LHP in a season — so a + * raw split is mostly noise. + * + * ── THE SPINE: REGRESS, OR THIS IS ACTIVELY HARMFUL ────────────────────── + * Applying a raw split adjusts projections on noise, which is worse than not + * building the adjuster at all. Every estimate here is shrunk toward a prior: + * + * regressed = (PA · observed + K · prior) / (PA + K) + * + * The PRIOR is the hitter's OWN overall rate, not the league's. The question a + * platoon adjustment answers is "is he DIFFERENT against this hand than he + * normally is" — so the null hypothesis is his own blended line, and a hitter + * with no evidence of a split correctly gets no adjustment. + * + * K = 600 PA (env-tunable). Platoon skill is famously slow to stabilise; the + * sabermetric literature puts the half-signal point for right-handed batters + * near 1,000 PA vs a hand. 600 is deliberately conservative in the direction of + * doing nothing: + * 30 PA → 4.8% weight on the observed split (essentially the prior) + * 130 PA → 18% + * 400 PA → 40% + * 1,000 PA → 63% + * A 30-PA .310 hitter vs LHP therefore moves the projection almost not at all, + * which is the correct answer, not a limitation. + * + * ── IT IS A MATCHUP SIGNAL, NOT AN ENVIRONMENT ─────────────────────────── + * Park and weather compose into one environment coefficient. Platoon does NOT + * join them: it is a property of this hitter against this pitcher's hand, and + * entangling it with the stadium would make both harder to attribute when the + * instrument scores them. + */ + +/** Shrinkage constant, in PA vs the hand. Higher = more conservative. */ +const K_PA = Number(process.env.PLATOON_K_PA) || 600; +/** Below this the adjustment is reported as immaterial (it will already be + * tiny from the regression; this is the honesty label, not the mechanism). */ +const MATERIAL_THRESHOLD = Number(process.env.PLATOON_MATERIAL) || 0.02; +/** Hard cap. Platoon leans; it never re-forecasts. */ +const MAX_MULT = Number(process.env.PLATOON_MAX_MULT) || 0.15; + +/** Stats a platoon split speaks to. Absent elsewhere — we are not inventing a + * platoon effect on a strikeout-allowed prop. */ +const PLATOON_STATS = Object.freeze(new Set([ + 'hits', 'home_runs', 'total_bases', 'rbi', 'runs', 'doubles', 'strikeouts', 'walks', +])); + +/** Which observed rate speaks to which stat. */ +const STAT_RATE = Object.freeze({ + hits: 'avg', doubles: 'avg', runs: 'ops', rbi: 'ops', + home_runs: 'slg', total_bases: 'slg', + strikeouts: 'k_rate', walks: 'bb_rate', +}); +/** Stats where a HIGHER rate means a LOWER prop outcome. */ +const INVERTED = Object.freeze(new Set(['strikeouts'])); + +const num = (v) => { + if (v == null || v === '') return null; + const n = typeof v === 'number' ? v : Number(v); + return Number.isFinite(n) ? n : null; +}; +const clamp = (v, lo, hi) => (v < lo ? lo : v > hi ? hi : v); + +/** + * regressSplit({ observedRate, observedPa, priorRate, k }) — PURE. + * The whole safety mechanism in six lines. Returns the shrunk rate plus the + * weight actually given to the observation, so callers can SEE how much of the + * estimate is evidence and how much is prior. + */ +function regressSplit({ observedRate, observedPa, priorRate, k = K_PA } = {}) { + const obs = num(observedRate); + const pa = num(observedPa); + const prior = num(priorRate); + if (prior == null) return { rate: null, weight: 0, reason: 'no prior' }; + if (obs == null || pa == null || pa <= 0) { + return { rate: prior, weight: 0, reason: 'no observed split — prior stands' }; + } + const weight = pa / (pa + k); + return { + rate: obs * weight + prior * (1 - weight), + weight: Math.round(weight * 1000) / 1000, + observed_pa: pa, + reason: null, + }; +} + +/** + * platoonEstimate({ splits, batterHand, pitcherHand, statType }) — the signal. + * + * splits: { vsL: {pa, avg, ops, slg, k_rate, bb_rate}, vsR: {…}, overall: {…} } + * Returns { multiplier, state, material, ... }. 1.0 is a true no-op and is + * reached honestly and OFTEN — most hitters do not have enough evidence of a + * split to move a projection, and saying so is the correct output. + */ +function platoonEstimate({ splits, batterHand, pitcherHand, statType } = {}) { + const stat = String(statType || '').toLowerCase(); + const neutral = (state, reason, extra = {}) => ({ + multiplier: 1, state, reason, material: false, + regressed_rate: null, prior_rate: null, observed_weight: 0, ...extra, + }); + + if (!PLATOON_STATS.has(stat)) return neutral('not_applicable', 'platoon says nothing about this stat'); + + // GATE: without the hitter's handedness there is no platoon question to ask. + // (statcast_aggregates.bats is 100% populated since Session 69, but a prop + // for a player we never resolved still lands here.) + if (!batterHand) return neutral('batter_hand_absent', 'no batter handedness'); + const ph = String(pitcherHand || '').toUpperCase(); + if (ph !== 'L' && ph !== 'R') return neutral('pitcher_hand_absent', "tonight's pitcher handedness unknown"); + + if (!splits || !splits.overall) return neutral('splits_absent', 'no split data for this hitter'); + + const side = ph === 'L' ? splits.vsL : splits.vsR; + const rateKey = STAT_RATE[stat]; + const prior = num(splits.overall[rateKey]); + if (prior == null || prior === 0) return neutral('no_prior', 'hitter has no overall rate for this stat'); + + const reg = regressSplit({ + observedRate: side ? num(side[rateKey]) : null, + observedPa: side ? num(side.pa) : null, + priorRate: prior, + }); + if (reg.rate == null) return neutral('no_prior', reg.reason); + + // The adjustment is the REGRESSED split relative to his own blended line. + let ratio = reg.rate / prior; + if (INVERTED.has(stat)) ratio = ratio === 0 ? 1 : 1 / ratio; + const capped = clamp(ratio - 1, -MAX_MULT, MAX_MULT); + const multiplier = Math.round((1 + capped) * 1000) / 1000; + const material = Math.abs(multiplier - 1) >= MATERIAL_THRESHOLD; + + return { + multiplier, + state: 'present', + reason: null, + material, + batter_hand: batterHand, + pitcher_hand: ph, + rate_key: rateKey, + prior_rate: Math.round(prior * 10000) / 10000, + observed_rate: side ? num(side[rateKey]) : null, + observed_pa: reg.observed_pa ?? 0, + observed_weight: reg.weight, // how much is evidence vs prior + regressed_rate: Math.round(reg.rate * 10000) / 10000, + capped: capped !== ratio - 1, + }; +} + +/** statsapi platoon splits for one hitter. `vl`/`vr` = vs left/right pitching. */ +const SPLITS_URL = (playerId, season) => + `https://statsapi.mlb.com/api/v1/people/${playerId}/stats` + + `?stats=statSplits&sitCodes=vl,vr&group=hitting&season=${season}`; + +/** + * parseSplits(payload, overall) — PURE. statsapi → the shape platoonEstimate + * wants. A side with no rows is ABSENT, never zero-filled. + */ +function parseSplits(payload, overall = null) { + const out = { vsL: null, vsR: null, overall: overall || null }; + for (const st of (payload && payload.stats) || []) { + for (const sp of st.splits || []) { + const code = (sp.split && sp.split.code) || ''; + const s = sp.stat || {}; + const pa = num(s.plateAppearances); + const row = { + pa, + avg: num(s.avg), ops: num(s.ops), slg: num(s.slg), obp: num(s.obp), + k_rate: pa > 0 && num(s.strikeOuts) != null ? num(s.strikeOuts) / pa : null, + bb_rate: pa > 0 && num(s.baseOnBalls) != null ? num(s.baseOnBalls) / pa : null, + }; + if (code === 'vl') out.vsL = row; + if (code === 'vr') out.vsR = row; + } + } + // Overall = the two sides combined, when a blended line was not supplied. + if (!out.overall && (out.vsL || out.vsR)) { + const parts = [out.vsL, out.vsR].filter((r) => r && r.pa); + const totalPa = parts.reduce((a, r) => a + r.pa, 0); + if (totalPa > 0) { + const w = (key) => { + const vals = parts.filter((r) => num(r[key]) != null); + if (!vals.length) return null; + const d = vals.reduce((a, r) => a + r.pa, 0); + return d > 0 ? vals.reduce((a, r) => a + r[key] * r.pa, 0) / d : null; + }; + out.overall = { pa: totalPa, avg: w('avg'), ops: w('ops'), slg: w('slg'), obp: w('obp'), k_rate: w('k_rate'), bb_rate: w('bb_rate') }; + } + } + return out; +} + +module.exports = { + platoonEstimate, + regressSplit, + parseSplits, + SPLITS_URL, + K_PA, + MATERIAL_THRESHOLD, + MAX_MULT, + PLATOON_STATS, + STAT_RATE, +}; diff --git a/tests/unit/platoonSplits.test.js b/tests/unit/platoonSplits.test.js new file mode 100644 index 0000000..59de983 --- /dev/null +++ b/tests/unit/platoonSplits.test.js @@ -0,0 +1,183 @@ +/* ============================================================ + Session 76 — PLATOON SPLITS. Highest value, highest noise. + The regression IS the feature: raw splits applied unregressed are harmful. + ============================================================ */ + +const pl = require('../../src/services/platoonSplits'); +const ch = require('../../src/services/challengerProjection'); + +/** A hitter with `pa` PA vs LHP at `avg`, 300 PA vs RHP at his overall rate. */ +const mk = (pa, avg, overall = 0.250) => ({ + vsL: { pa, avg, ops: avg * 2.6, slg: avg * 1.7 }, + vsR: { pa: 300, avg: overall, ops: overall * 2.6, slg: overall * 1.7 }, + overall: { pa: pa + 300, avg: overall, ops: overall * 2.6, slg: overall * 1.7 }, +}); +const est = (splits, ph = 'L', stat = 'hits', bh = 'R') => + pl.platoonEstimate({ splits, batterHand: bh, pitcherHand: ph, statType: stat }); + +describe('THE MAKE-OR-BREAK TEST — thin splits must not move anything', () => { + it('a .310 split on 30 PA is regressed almost entirely away', () => { + const e = est(mk(30, 0.310)); + expect(e.observed_weight).toBeLessThan(0.06); // ~4.8% evidence + expect(Math.abs(e.multiplier - 1)).toBeLessThan(0.02); + expect(e.material).toBe(false); + }); + + it('the SAME split on 400 PA produces a real adjustment', () => { + const e = est(mk(400, 0.310)); + expect(e.observed_weight).toBeCloseTo(0.4, 1); + expect(e.multiplier).toBeGreaterThan(1.05); + expect(e.material).toBe(true); + }); + + it('deep sample moves the projection MANY times more than thin', () => { + const thin = ch.adjust({ pWin: 0.5, direction: 'over', statType: 'hits', matchup: est(mk(30, 0.310)) }); + const deep = ch.adjust({ pWin: 0.5, direction: 'over', statType: 'hits', matchup: est(mk(400, 0.310)) }); + // If this ratio ever collapses toward 1, the regression has broken and + // platoon is applying noise. + expect(Math.abs(deep.delta)).toBeGreaterThan(Math.abs(thin.delta) * 5); + }); + + it('is symmetric — a deep NEGATIVE split suppresses by the same magnitude', () => { + const up = est(mk(400, 0.310)); + const down = est(mk(400, 0.190)); + expect(Math.abs(up.multiplier - 1)).toBeCloseTo(Math.abs(down.multiplier - 1), 2); + expect(down.multiplier).toBeLessThan(1); + }); + + it('regresses toward the HITTER\'S OWN rate, not the league', () => { + // The question is "is he different vs this hand than he normally is", so a + // hitter whose split matches his overall gets NO adjustment however deep. + const e = est(mk(2000, 0.250, 0.250)); + expect(e.multiplier).toBe(1); + }); +}); + +describe('regressSplit — the mechanism', () => { + it('weight rises with PA and never reaches 1', () => { + const w = (pa) => pl.regressSplit({ observedRate: 0.3, observedPa: pa, priorRate: 0.25 }).weight; + expect(w(30)).toBeLessThan(w(130)); + expect(w(130)).toBeLessThan(w(400)); + expect(w(400)).toBeLessThan(w(1000)); + expect(w(100000)).toBeLessThan(1); + }); + + it('no observation → the prior stands, untouched', () => { + const r = pl.regressSplit({ observedRate: null, observedPa: null, priorRate: 0.25 }); + expect(r.rate).toBe(0.25); + expect(r.weight).toBe(0); + }); + + it('no prior → no estimate at all (never invents one)', () => { + expect(pl.regressSplit({ observedRate: 0.3, observedPa: 400, priorRate: null }).rate).toBeNull(); + }); + + it('K is conservative — 600 PA of prior', () => { + expect(pl.K_PA).toBe(600); + expect(pl.regressSplit({ observedRate: 1, observedPa: 600, priorRate: 0 }).weight).toBe(0.5); + }); +}); + +describe('honest-absent — frequent and CORRECT here', () => { + it.each([ + ['no batter handedness', { bh: null, ph: 'L' }, 'batter_hand_absent'], + ['no pitcher handedness', { bh: 'R', ph: null }, 'pitcher_hand_absent'], + ])('%s → multiplier 1', (_n, { bh, ph }, state) => { + const e = pl.platoonEstimate({ splits: mk(400, 0.310), batterHand: bh, pitcherHand: ph, statType: 'hits' }); + expect(e.multiplier).toBe(1); + expect(e.state).toBe(state); + }); + + it('a stat platoon says nothing about → not_applicable', () => { + expect(est(mk(400, 0.310), 'L', 'stolen_bases').state).toBe('not_applicable'); + }); + + it('no splits at all → absent, never a guess', () => { + expect(pl.platoonEstimate({ splits: null, batterHand: 'R', pitcherHand: 'L', statType: 'hits' }).state) + .toBe('splits_absent'); + }); + + it('a missing SIDE falls back to the prior rather than zero', () => { + const s = { vsL: null, vsR: { pa: 300, avg: 0.25 }, overall: { pa: 300, avg: 0.25 } }; + const e = pl.platoonEstimate({ splits: s, batterHand: 'R', pitcherHand: 'L', statType: 'hits' }); + expect(e.multiplier).toBe(1); + expect(e.observed_weight).toBe(0); + }); +}); + +describe('conditioned on TONIGHT\'S pitcher hand', () => { + it('uses the vs-LHP split against an LHP and the vs-RHP split against an RHP', () => { + const s = { + vsL: { pa: 400, avg: 0.310 }, vsR: { pa: 400, avg: 0.210 }, + overall: { pa: 800, avg: 0.260 }, + }; + const vsL = pl.platoonEstimate({ splits: s, batterHand: 'R', pitcherHand: 'L', statType: 'hits' }); + const vsR = pl.platoonEstimate({ splits: s, batterHand: 'R', pitcherHand: 'R', statType: 'hits' }); + expect(vsL.multiplier).toBeGreaterThan(1); + expect(vsR.multiplier).toBeLessThan(1); + }); + + it('inverts for strikeouts — a higher K rate means a LOWER hit prop, not higher', () => { + const s = { + vsL: { pa: 400, k_rate: 0.35 }, vsR: { pa: 400, k_rate: 0.20 }, + overall: { pa: 800, k_rate: 0.25 }, + }; + const e = pl.platoonEstimate({ splits: s, batterHand: 'R', pitcherHand: 'L', statType: 'strikeouts' }); + // He strikes out MORE vs LHP → the strikeout prop over is MORE likely. + expect(e.rate_key).toBe('k_rate'); + expect(e.multiplier).not.toBe(1); + }); +}); + +describe('INDEPENDENT of the environment coefficient', () => { + it('platoon rides its own slot, labelled separately', () => { + const r = ch.adjust({ + pWin: 0.5, direction: 'over', statType: 'hits', + matchup: { ...est(mk(400, 0.310)), label: 'PLATOON' }, + environment: { multiplier: 1.10, label: 'PARK × WEATHER', venue: 'Coors Field' }, + }); + const axes = r.adjustments.map((a) => a.axis); + expect(axes).toContain('matchup'); + expect(axes).toContain('environment'); + // Two separate entries → the instrument can attribute them independently. + expect(r.adjustments.find((a) => a.axis === 'matchup').label).toBe('PLATOON'); + }); + + it('mirrors on the under', () => { + const m = { ...est(mk(400, 0.310)), label: 'PLATOON' }; + const over = ch.adjust({ pWin: 0.5, direction: 'over', statType: 'hits', matchup: m }); + const under = ch.adjust({ pWin: 0.5, direction: 'under', statType: 'hits', matchup: m }); + expect(under.delta).toBeCloseTo(-over.delta, 3); + }); + + it('is capped — platoon leans, never re-forecasts', () => { + const absurd = est(mk(5000, 0.600)); + expect(Math.abs(absurd.multiplier - 1)).toBeLessThanOrEqual(pl.MAX_MULT + 1e-9); + }); +}); + +describe('parseSplits — statsapi shape', () => { + const payload = { stats: [{ splits: [ + { split: { code: 'vl' }, stat: { plateAppearances: 126, avg: '.259', ops: '.698', slg: '.400', strikeOuts: 30, baseOnBalls: 10 } }, + { split: { code: 'vr' }, stat: { plateAppearances: 265, avg: '.248', ops: '.755', slg: '.430', strikeOuts: 55, baseOnBalls: 20 } }, + ] }] }; + + it('parses both sides and derives rates', () => { + const s = pl.parseSplits(payload); + expect(s.vsL.pa).toBe(126); + expect(s.vsL.avg).toBeCloseTo(0.259, 3); + expect(s.vsR.k_rate).toBeCloseTo(55 / 265, 3); + }); + + it('builds the overall prior as a PA-weighted blend when none is supplied', () => { + const s = pl.parseSplits(payload); + expect(s.overall.pa).toBe(391); + expect(s.overall.avg).toBeGreaterThan(0.248); + expect(s.overall.avg).toBeLessThan(0.259); + }); + + it('an absent side stays null — never zero-filled', () => { + const s = pl.parseSplits({ stats: [{ splits: [payload.stats[0].splits[1]] }] }); + expect(s.vsL).toBeNull(); + }); +}); diff --git a/web/public/sw.js b/web/public/sw.js index 195ea7f..2941ecc 100644 --- a/web/public/sw.js +++ b/web/public/sw.js @@ -1,2 +1,2 @@ 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