Build opportunity_drift axis on challengerProjection (arch-v1)
Champion p_win and the live grade path are BYTE-IDENTICAL: the axis writes only to p_win_challenger / challenger_adjustments in the ledger. STEP 1 -- MAP THE INPUT. MLB_LOG_FIELD now maps at_bats -> 'atBats'. Deliberately NOT added to outcomeService's map or liveTracking's LIVE_BOX_FIELD: those exist to SETTLE and TRACK graded props, and nothing grades at-bats, so adding it there would imply a settlement path for a market we do not carry. A test asserts the settle map still lacks it. STEP 2 -- DRIFT, NOT LEVEL. opportunity_drift = mean(last-5 atBats) / (season atBats / games). The LEVEL is collinear with l20_avg (same games denominator; hits/game ~= (hits/AB) x (AB/game)), so the projection already embeds it multiplicatively and adding it would double-count. A deviation from the player's own baseline is the part the projection does not contain. HONEST ABSENCE throughout: fewer than 3 at-bat rows, no at-bats in the logs, or no season baseline all leave drift UNDEFINED -- never 1.0 by default and never 0. Number(null) === 0 here would read as "zero at-bats", the strongest possible fade, invented from missing data. Four tests cover the absent paths. STEP 3 -- THE AXIS. opportunityNudge composes in the same log-odds space as park and platoon (log of a ratio), with two guards the measured axes do not need: a +/-10% DEADBAND (a rest day or a blowout can move a 5-game window without any role change) and a tighter cap (0.15 vs the environment's 0.30) so a noisy PROXY cannot outvote measured signals. Every adjustment carries is_proxy: true and proxy_for: 'confirmed_batting_order' so nothing downstream can mistake it for a lineup feed. The axis can stand ALONE -- without it the early return would gate opportunity off on exactly the thin-classification rows it is most likely to help. Zero extra I/O: analyzeViaEngine1 attaches drift from the feature vector it has already built, and attachChallenger reads it off the grade. Nothing re-fetches in a loop that runs over hundreds of props. COLLINEARITY GUARD added to the coverage probe: Pearson r of drift against l20_avg / l5_avg / ab_per_game, returning null under n=8 rather than reporting a correlation on a handful of rows. If drift just re-encodes the projection, the axis is dead signal and gets shelved. Gates: 4,073 tests / 326 suites green; next build exit 0. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01QJs13VsyiSKYQP6rj3NNmc
This commit is contained in:
@@ -121,7 +121,36 @@ function envNudge(env, dirSign) {
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return clamp(raw, -MAX_ENV_NUDGE, MAX_ENV_NUDGE);
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}
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function adjust({ pWin, direction, statType, classification, environment, matchup } = {}) {
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/**
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* OPPORTUNITY nudge (2026-08-01) — the drift ratio, in the same log-odds space
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* as the environment and matchup nudges.
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*
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* `opportunity_drift` is recent-5 AB/G over the player's OWN season AB/G, so
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* 1.0 is "exactly his baseline" = no signal = no nudge, exactly like a park
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* multiplier of 1.0.
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*
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* DELIBERATELY SMALLER-CAPPED THAN THE ENVIRONMENT AXIS. Drift is a PROXY for
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* tonight's batting order, not a measurement of it, and a 5-game window is
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* noisy: a rest day, a pinch-hit appearance or a blowout can halve it without
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* any change in role. `MAX_OPPORTUNITY_NUDGE` keeps a noisy proxy from
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* outvoting the measured axes. A drift below the deadband is treated as noise
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* and ignored outright.
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*/
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const OPPORTUNITY_SCALE = Number(process.env.OPPORTUNITY_NUDGE_SCALE) || 1.0;
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const MAX_OPPORTUNITY_NUDGE = 0.15;
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const OPPORTUNITY_DEADBAND = 0.10; // ignore drift within +/-10% of baseline
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function opportunityNudge(drift, dirSign) {
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const d = num(drift);
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// Undefined drift MUST be a no-op. `Number(null) === 0` would read as
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// "zero at-bats", the strongest possible fade, invented from missing data.
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if (d == null || d <= 0) return 0;
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if (Math.abs(d - 1) < OPPORTUNITY_DEADBAND) return 0;
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const raw = Math.log(d) * OPPORTUNITY_SCALE * dirSign;
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return clamp(raw, -MAX_OPPORTUNITY_NUDGE, MAX_OPPORTUNITY_NUDGE);
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}
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function adjust({ pWin, direction, statType, classification, environment, matchup, opportunity } = {}) {
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const p = num(pWin);
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const identical = (reason) => ({
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p_win_challenger: p, delta: 0, adjustments: [], reason, version: CHALLENGER_VERSION,
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@@ -136,7 +165,12 @@ function adjust({ pWin, direction, statType, classification, environment, matchu
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// what lets the instrument attribute them independently.
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const matchupPresent = num(matchup && matchup.multiplier) != null
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&& num(matchup.multiplier) !== 1;
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if ((!classification || !classification.sufficient) && !envPresent && !matchupPresent) {
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// Opportunity can stand ALONE: a prop with no archetype, no park and no
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// platoon but a real role change is still a prop the challenger has something
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// to say about. Without this the axis would be silently gated off on exactly
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// the thin-classification rows it is most likely to help.
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const oppPresent = opportunityNudge(opportunity && opportunity.drift, 1) !== 0;
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if ((!classification || !classification.sufficient) && !envPresent && !matchupPresent && !oppPresent) {
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return identical('archetype_absent_or_thin');
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}
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@@ -146,7 +180,7 @@ function adjust({ pWin, direction, statType, classification, environment, matchu
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const map = ((classification && classification.sufficient)
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? (role === 'pitcher' ? PITCHER_MAP : BATTER_MAP)[stat]
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: null) || {};
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if (!Object.keys(map).length && !envPresent && !matchupPresent) return identical('stat_not_mapped');
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if (!Object.keys(map).length && !envPresent && !matchupPresent && !oppPresent) return identical('stat_not_mapped');
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// Direction: a trait that raises the stat raises P(over) and lowers P(under).
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const dirSign = String(direction || 'over').toLowerCase() === 'under' ? -1 : 1;
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@@ -154,6 +188,25 @@ function adjust({ pWin, direction, statType, classification, environment, matchu
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const adjustments = [];
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let total = 0;
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// ── OPPORTUNITY (drift) — a PROXY for tonight's batting order ───────────
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const oppNudge = opportunityNudge(opportunity && opportunity.drift, dirSign);
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if (oppNudge) {
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total += oppNudge;
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const d = num(opportunity.drift);
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adjustments.push({
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axis: 'opportunity',
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label: d > 1 ? 'ROLE UP' : 'ROLE DOWN',
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tier: 'opportunity',
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nudge: Math.round(oppNudge * 1000) / 1000,
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drift: Math.round(d * 1000) / 1000,
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recent_ab_per_game: opportunity.recent_ab_per_game ?? null,
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season_ab_per_game: opportunity.season_ab_per_game ?? null,
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// Never let a consumer mistake this for the real thing.
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is_proxy: true,
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proxy_for: 'confirmed_batting_order',
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});
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}
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// ── MATCHUP (platoon) — independent of the environment ─────────────────
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const mMult = num(matchup && matchup.multiplier);
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if (mMult != null && mMult !== 1) {
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@@ -247,6 +300,14 @@ async function attachChallenger(grades, classifyFor, contextFor) {
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classification: cls,
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environment: ctx.environment,
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matchup: ctx.matchup,
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// Opportunity rides ON THE GRADE (analyzeViaEngine1 attaches it from the
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// feature vector it already built), so this adds zero I/O to a loop that
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// runs over hundreds of props. `ctx.opportunity` can override for tests.
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opportunity: ctx.opportunity || {
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drift: g.opportunity_drift,
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recent_ab_per_game: g.recent_ab_per_game ?? null,
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season_ab_per_game: g.ab_per_game ?? null,
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},
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});
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out.push({
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...g,
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@@ -271,6 +332,9 @@ module.exports = {
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adjust,
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attachChallenger,
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CHALLENGER_VERSION,
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opportunityNudge,
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MAX_OPPORTUNITY_NUDGE,
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OPPORTUNITY_DEADBAND,
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NUDGE,
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MAX_TOTAL_NUDGE,
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BATTER_MAP,
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@@ -22,6 +22,8 @@ const DEFAULT_CONCURRENCY = 5;
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// they would sit alongside (so the report shows relative coverage, not an
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// isolated number that looks fine until you compare it).
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const TRACKED = Object.freeze([
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'opportunity_drift', // recent-5 AB/G / season AB/G — the new axis's input
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'recent_ab_per_game',
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'ab_per_game', // MLB "usage" — season atBats / games
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'rest_days',
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'l5_avg',
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@@ -97,6 +99,10 @@ async function coverage(opts = {}) {
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const overall = {};
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const byStat = {};
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// COLLINEARITY GUARD — if drift just re-encodes what the projection already
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// has, the axis is dead signal and must be shelved rather than added as a
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// redundant input. Pearson r against each existing projection input.
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const pairs = { l20_avg: [], l5_avg: [], ab_per_game: [] };
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const distinctValuesPerPlayer = {}; // is the feature prop-specific or per-player constant?
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for (const key of TRACKED) overall[key] = 0;
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@@ -109,6 +115,11 @@ async function coverage(opts = {}) {
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if (ok) overall[key] += 1;
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byStat[stat][key] = (byStat[stat][key] || 0) + (ok ? 1 : 0);
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}
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if (populated(f.opportunity_drift)) {
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for (const k of Object.keys(pairs)) {
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if (populated(f[k])) pairs[k].push([Number(f.opportunity_drift), Number(f[k])]);
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}
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}
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if (populated(f.ab_per_game)) {
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const pk = String(p.player).toLowerCase();
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distinctValuesPerPlayer[pk] = distinctValuesPerPlayer[pk] || new Set();
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@@ -126,9 +137,25 @@ async function coverage(opts = {}) {
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const multiPropPlayers = Object.values(distinctValuesPerPlayer).filter((s) => s.size > 0);
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const playersWithVaryingValue = multiPropPlayers.filter((s) => s.size > 1).length;
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const pearson = (xy) => {
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const n = xy.length;
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if (n < 8) return null; // never report a correlation on a handful of rows
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const mx = xy.reduce((a, [x]) => a + x, 0) / n;
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const my = xy.reduce((a, [, y]) => a + y, 0) / n;
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let sxy = 0; let sxx = 0; let syy = 0;
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for (const [x, y] of xy) {
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sxy += (x - mx) * (y - my); sxx += (x - mx) ** 2; syy += (y - my) ** 2;
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}
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if (sxx <= 0 || syy <= 0) return null;
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return Math.round((sxy / Math.sqrt(sxx * syy)) * 1000) / 1000;
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};
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return {
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read_only: true,
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sport,
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collinearity_guard: Object.fromEntries(Object.entries(pairs).map(([k, xy]) => [
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`drift_vs_${k}`, { n: xy.length, r: pearson(xy) },
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])),
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generated_at: new Date().toISOString(),
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sampled: batch.length,
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unique_gradeable: unique.length,
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@@ -384,6 +384,18 @@ function buildIntelFields(features = {}, opts = {}) {
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if (matchup) out.matchup_grade = matchup;
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if (Number.isFinite(features.rest_days)) out.rest = features.rest_days === 0 ? 'B2B' : `${features.rest_days}d rest`;
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// OPPORTUNITY DRIFT (2026-08-01) — carried onto the grade so the challenger
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// can read it WITHOUT a second fetch. The feature is already computed here;
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// re-resolving it downstream would add per-prop I/O to a path that grades
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// hundreds of props in a tight loop.
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//
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// Raw numbers only — no display string. This is a model input, not a card
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// field, and rendering an unvalidated proxy as if it were a finding is the
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// thing we keep removing.
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if (Number.isFinite(features.opportunity_drift)) out.opportunity_drift = Math.round(features.opportunity_drift * 1000) / 1000;
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if (Number.isFinite(features.recent_ab_per_game)) out.recent_ab_per_game = round1(features.recent_ab_per_game);
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if (Number.isFinite(features.ab_per_game)) out.ab_per_game = round1(features.ab_per_game);
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return out;
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}
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@@ -84,6 +84,16 @@ const MLB_LOG_FIELD = {
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innings_pitched: 'inningsPitched',
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// Session 56 audit — real boxscore/game-log fields (Braves@Pirates verified).
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doubles: 'doubles', triples: 'triples', outs: 'outs',
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// OPPORTUNITY INPUT (2026-08-01) — at-bats is NOT a gradeable stat_type and no
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// market exists for it. It is mapped here only so `mlbStatValue` can read
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// per-game at-bats out of a log row for the opportunity-drift axis.
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//
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// DELIBERATELY NOT ADDED to the other two MLB maps (outcomeService's
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// MLB_LOG_FIELD, liveTrackingService's LIVE_BOX_FIELD). Those exist to SETTLE
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// and to TRACK graded props; nothing grades at-bats, so adding it there would
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// imply a settlement path for a market we do not carry. The three-map split
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// is intentional — see CLAUDE.md.
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at_bats: 'atBats',
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};
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function mlbStatValue(statObj, statType) {
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@@ -153,6 +163,42 @@ function mlbGameLogFeatures(res, statType) {
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if (Number.isFinite(ab) && Number.isFinite(games) && games > 0) {
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out.ab_per_game = ab / games;
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}
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// OPPORTUNITY DRIFT (2026-08-01) — recent at-bats per game against the
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// player's OWN season baseline.
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//
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// opportunity_drift = mean(last 5 games' atBats) / (season atBats / games)
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//
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// WHY A RATIO AND NOT THE LEVEL: `l20_avg` is seasonTotal/games — the SAME
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// denominator as `ab_per_game` — so for a batter
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// hits/game ~= (hits/AB) x (AB/game), and the projection ALREADY embeds the
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// opportunity LEVEL multiplicatively. Adding that level as another input
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// double-counts it. A deviation from the player's own baseline is the part
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// the projection does not already contain.
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//
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// > 1 batting higher / playing more than his baseline
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// < 1 reduced role, platoon, lower slot
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//
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// HONEST ABSENCE: no at-bat rows, or no season baseline, leaves this
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// UNDEFINED. It is never 1.0-by-default and never 0 — `Number(null) === 0`
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// here would read as "no opportunity at all", the strongest possible signal,
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// from missing data.
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//
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// THIS IS A PROXY. The real driver of plate appearances is tonight's
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// confirmed batting order, which no wired source exposes (depthChartService
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// returns battingOrder: null for MLB; PropLine /context carries only a
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// lineup_confirmed boolean). Replace this with the real slot when a lineup
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// feed exists — do not present it as one.
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const abRows = logs.map((g) => mlbStatValue(g.stat, 'at_bats')).filter((v) => v != null);
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if (abRows.length >= 3) {
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const recentAb = avg(abRows.slice(-5));
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if (recentAb != null) {
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out.recent_ab_per_game = recentAb;
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if (Number.isFinite(out.ab_per_game) && out.ab_per_game > 0) {
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out.opportunity_drift = recentAb / out.ab_per_game;
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}
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}
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}
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return out;
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}
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@@ -521,6 +567,9 @@ module.exports = {
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statFromGameLog,
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mlbGameLogFeatures,
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mlbStatValue,
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// Exported so the opportunity-input test can assert at_bats is mapped HERE
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// and deliberately NOT in the settlement map (the three-map split).
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MLB_LOG_FIELD,
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nbaGameLogFeatures,
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NBA_LOG_FIELD,
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avg,
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@@ -0,0 +1,124 @@
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'use strict';
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/**
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* opportunity_drift — the axis, its input, and the guards that keep it honest
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* (2026-08-01).
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*
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* The three properties that matter more than the arithmetic:
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* 1. UNDEFINED drift is a NO-OP. `Number(null) === 0` would read as "zero
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* at-bats" — the strongest possible fade — invented from missing data.
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* 2. It is a RATIO, not a level. The level is collinear with l20_avg (same
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* denominator), so using it would double-count opportunity the projection
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* already contains.
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* 3. It is labelled a PROXY. The real input is the confirmed batting order,
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* which no wired source exposes.
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*/
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const { __internals } = require('../../src/services/intelligence/featureCache');
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const { mlbGameLogFeatures, MLB_LOG_FIELD } = __internals;
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const challenger = require('../../src/services/challengerProjection');
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const { adjust, opportunityNudge, OPPORTUNITY_DEADBAND, MAX_OPPORTUNITY_NUDGE } = challenger;
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const g = (atBats, hits) => ({ stat: { atBats, hits } });
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const season = (hits, atBats, games) => ({ hits, atBats, gamesPlayed: games });
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describe('per-game at-bats is mapped for the OPPORTUNITY input only', () => {
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it('MLB_LOG_FIELD maps at_bats to the real boxscore field', () => {
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expect(MLB_LOG_FIELD.at_bats).toBe('atBats');
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});
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it('is NOT added to the settlement map — nothing grades at-bats', () => {
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// The three MLB maps are split on purpose (CLAUDE.md). Adding at_bats to
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// the settle map would imply a settlement path for a market we don't carry.
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const outcome = require('../../src/services/outcomeService');
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const settleMap = (outcome.__internals && outcome.__internals.MLB_LOG_FIELD) || {};
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expect(settleMap.at_bats).toBeUndefined();
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});
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});
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describe('mlbGameLogFeatures — drift computation', () => {
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const logs = [g(4, 1), g(4, 2), g(4, 1), g(2, 0), g(2, 1), g(2, 0), g(2, 1), g(2, 0)];
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it('computes recent-5 AB/G over the season baseline', () => {
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const out = mlbGameLogFeatures({ found: true, last10: logs, season: season(60, 300, 75) }, 'hits');
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expect(out.ab_per_game).toBe(4); // 300/75
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expect(out.recent_ab_per_game).toBe(2); // last five games are 2 AB each
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expect(out.opportunity_drift).toBeCloseTo(0.5, 3);
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});
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it('is UNDEFINED when the logs carry no at-bats — never 1.0, never 0', () => {
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const noAb = [{ stat: { hits: 1 } }, { stat: { hits: 2 } }, { stat: { hits: 0 } }];
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const out = mlbGameLogFeatures({ found: true, last10: noAb, season: season(60, undefined, 75) }, 'hits');
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expect(out.opportunity_drift).toBeUndefined();
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expect(out.recent_ab_per_game).toBeUndefined();
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});
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it('is UNDEFINED without a season baseline to drift FROM', () => {
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const out = mlbGameLogFeatures({ found: true, last10: logs, season: season(60, undefined, 75) }, 'hits');
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expect(out.recent_ab_per_game).toBe(2); // recent is knowable
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expect(out.opportunity_drift).toBeUndefined(); // the ratio is not
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});
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it('needs at least 3 at-bat rows — two games is noise, not a role change', () => {
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const out = mlbGameLogFeatures({ found: true, last10: [g(4, 1), g(4, 2)], season: season(60, 300, 75) }, 'hits');
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expect(out.opportunity_drift).toBeUndefined();
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});
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});
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describe('opportunityNudge — the guards', () => {
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it('an ABSENT drift is a no-op, not a maximal fade', () => {
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for (const v of [null, undefined, '', NaN, 0, -1]) expect(opportunityNudge(v, 1)).toBe(0);
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});
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it('a drift inside the deadband is treated as noise', () => {
|
||||
expect(opportunityNudge(1, 1)).toBe(0);
|
||||
expect(opportunityNudge(1 + (OPPORTUNITY_DEADBAND / 2), 1)).toBe(0);
|
||||
expect(opportunityNudge(1 - (OPPORTUNITY_DEADBAND / 2), 1)).toBe(0);
|
||||
});
|
||||
|
||||
it('is capped so a noisy 5-game proxy cannot outvote the measured axes', () => {
|
||||
expect(opportunityNudge(0.01, 1)).toBe(-MAX_OPPORTUNITY_NUDGE);
|
||||
expect(opportunityNudge(100, 1)).toBe(MAX_OPPORTUNITY_NUDGE);
|
||||
});
|
||||
|
||||
it('flips sign with direction — less opportunity helps the UNDER', () => {
|
||||
expect(opportunityNudge(0.5, 1)).toBeLessThan(0);
|
||||
expect(opportunityNudge(0.5, -1)).toBeGreaterThan(0);
|
||||
});
|
||||
});
|
||||
|
||||
describe('adjust — the opportunity axis on the challenger', () => {
|
||||
const base = { pWin: 0.55, direction: 'over', statType: 'hits' };
|
||||
|
||||
it('stands ALONE when there is no archetype, park or platoon', () => {
|
||||
const r = adjust({ ...base, opportunity: { drift: 0.5, recent_ab_per_game: 2, season_ab_per_game: 4 } });
|
||||
expect(r.adjustments.map((a) => a.axis)).toEqual(['opportunity']);
|
||||
expect(r.p_win_challenger).toBeLessThan(0.55);
|
||||
});
|
||||
|
||||
it('labels itself a PROXY, so nothing downstream can mistake it for a lineup', () => {
|
||||
const r = adjust({ ...base, opportunity: { drift: 1.6 } });
|
||||
expect(r.adjustments[0]).toMatchObject({ is_proxy: true, proxy_for: 'confirmed_batting_order', label: 'ROLE UP' });
|
||||
});
|
||||
|
||||
it('leaves the challenger IDENTICAL to the champion when drift is absent', () => {
|
||||
const r = adjust({ ...base, opportunity: { drift: null } });
|
||||
expect(r.p_win_challenger).toBe(0.55);
|
||||
expect(r.delta).toBe(0);
|
||||
expect(r.adjustments).toEqual([]);
|
||||
});
|
||||
});
|
||||
|
||||
describe('attachChallenger — reads opportunity off the grade (zero extra I/O)', () => {
|
||||
it('uses the drift the grader already attached', async () => {
|
||||
const out = await challenger.attachChallenger([
|
||||
{ player: 'A', stat_type: 'hits', direction: 'over', p_win: 0.6, opportunity_drift: 0.62, recent_ab_per_game: 2.5, ab_per_game: 4 },
|
||||
{ player: 'B', stat_type: 'hits', direction: 'over', p_win: 0.6 },
|
||||
], () => null, null);
|
||||
expect(out[0].challenger_delta).toBeLessThan(0);
|
||||
expect(out[0].challenger_adjustments[0].axis).toBe('opportunity');
|
||||
// No drift on the grade => challenger is the champion, exactly.
|
||||
expect(out[1].p_win_challenger).toBe(0.6);
|
||||
expect(out[1].challenger_delta).toBe(0);
|
||||
});
|
||||
});
|
||||
Reference in New Issue
Block a user