Model Train arc 1 (engine): de-vig + EV + takeable/value gates + hero v2 + triplet

Steps 1-6 — make "real opportunities at takeable prices" the engine, not a filter.

1. DE-VIG (src/utils/devig.js): two-way multiplicative de-vig strips the vig and
   returns fair prob + fair price per side + the overround. One side missing →
   fair UNAVAILABLE (null), never faked. Method noted in code + the `devig_method`
   field.
2. EV (devig.evPct): ev_pct = model prob × decimal − 1 at the graded side's
   ACTUAL price. This is the ranking signal now, replacing raw |model−consensus|.
3. TAKEABLE gate (src/config/valueEngine.js, TAKEABLE_ODDS_CEILING −160 .. +200,
   env-tunable): promoted surfaces only (hero/featured/alerts). The full board
   still shows everything; Parlay Lab exempt; JUICE_ODDS_FLOOR (−400) stays the
   absolute backstop underneath. Strict null-guard (Number(null)===0 would have
   made a missing price "takeable").
4. VALUE flag: passes BOTH gates (takeable AND ev_pct ≥ VALUE_EV_THRESHOLD).
   Grade = read quality; value = the price pays you. Shipped in payloads.
5. HERO v2 (heroPropService): highest ev_pct among takeable A/B reads — a huge
   gap on a −900 line is trivia, not an opportunity.
6. VALUE TRIPLET: book_odds · fair_odds · model_odds on every read (snapshot,
   hero, scan — they all spread the grade). Handoff documents the fields; the
   rendering is Session-2 Design's job.

All wired in analyzeViaEngine1's existing p_win/kelly block (real quantile
probability × real book odds, or nothing). 33 new tests; suite 276/3306 green.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
This commit is contained in:
Kev
2026-07-19 02:43:30 -04:00
parent 348a82b4a0
commit 7a925f43eb
8 changed files with 399 additions and 71 deletions
+20 -5
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@@ -36,6 +36,14 @@ function toHero(g, sport, gap, isRecent) {
gap: gap == null ? null : Math.round(gap * 100) / 100,
team: g.team || null,
reasoning: (g.reasoning && g.reasoning.summary) || null, // blurred paywall teaser
// Model Train (steps 2/4/6) — EV ranking, the value flag, and the value
// triplet (book price · fair de-vigged price · model price).
ev_pct: g.ev_pct ?? null,
value: g.value ?? null,
takeable: g.takeable ?? null,
book_odds: g.book_odds ?? (at.odds != null ? Number(at.odds) : null),
fair_odds: g.fair_odds ?? null,
model_odds: g.model_odds ?? null,
};
}
@@ -66,14 +74,21 @@ async function pickHeroProp(deps = {}) {
}
}
// The hero: largest |projection - line| among A/B candidates.
let hero = null, heroGap = -1;
// HERO RULE v2 (Model Train, step 5): the highest EV among reads that pass the
// TAKEABLE gate, A/B grades only. A huge model-vs-line gap on a -900 line is
// trivia; the hero is the best OPPORTUNITY at a price you'd actually take.
const { isTakeable } = require('../config/valueEngine');
let hero = null, heroEv = -Infinity;
for (const { g, sport } of all) {
if (!isAB(g.grade) || !candidate(g)) continue;
const gap = Math.abs(Number(g.projection) - Number(g.line));
if (gap > heroGap) { heroGap = gap; hero = { g, sport }; }
if (!Number.isFinite(Number(g.ev_pct))) continue; // need a real EV to rank
if (!isTakeable(g.book_odds)) continue; // promoted surface → takeable only
if (Number(g.ev_pct) > heroEv) { heroEv = Number(g.ev_pct); hero = { g, sport }; }
}
if (hero) {
const gap = candidate(hero.g) ? Math.abs(Number(hero.g.projection) - Number(hero.g.line)) : null;
return toHero(hero.g, hero.sport, gap, false);
}
if (hero) return toHero(hero.g, hero.sport, heroGap, false);
// Empty slate → the MOST RECENT real graded read (any grade), by timestamp.
let recent = null, recentTs = '';
+38 -7
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@@ -496,24 +496,55 @@ async function analyzeViaEngine1(rawProp = {}) {
}
} catch { /* the ladder is additive — never breaks the read */ }
// Session 62 (A1-S1) — QUARTER-KELLY. Real probability (quantile estimator
// over the actual game logs) × real book odds, or nothing. Never derived
// from confidence, never a default vig.
// Session 62 (A1-S1) — QUARTER-KELLY + Model Train (steps 1-6): de-vig, EV,
// the value triplet, and the takeable/value flags. Real probability (quantile
// estimator over the actual game logs) × real book odds, or nothing — never
// derived from confidence, never a default vig.
try {
const { estimateProbability } = require('./probabilityEstimator');
const { devigTwoWay, evPct, impliedProbToAmerican } = require('../../utils/devig');
const { isTakeable, isValue } = require('../../config/valueEngine');
const dir = String(prop.direction || 'over').toLowerCase();
const est = estimateProbability({ gameLogs: meta.gameLogs, line: prop.line, statType: rawProp.stat_type, features });
const pWin = String(prop.direction || 'over').toLowerCase() === 'under'
const pWin = dir === 'under'
? (Number.isFinite(est.p_over) ? 1 - est.p_over : null)
: (Number.isFinite(est.p_over) ? est.p_over : null);
if (pWin != null) legacy.p_win = Math.round(pWin * 1000) / 1000;
const sideOdds = String(prop.direction || 'over').toLowerCase() === 'under'
? rawProp.under_odds : rawProp.over_odds;
const sideOdds = dir === 'under' ? rawProp.under_odds : rawProp.over_odds;
// Quarter-Kelly sizing (unchanged).
if (pWin != null && sideOdds != null) {
const { quarterKelly } = require('../../utils/kelly');
const k = quarterKelly(pWin, sideOdds);
if (k) legacy.kelly = { ...k, odds: String(sideOdds) };
}
} catch { /* sizing is additive — absent beats wrong */ }
// The VALUE TRIPLET (step 6): book price · fair (de-vigged) price · model
// price. Two-way de-vig needs BOTH sides; one side missing → fair absent.
if (sideOdds != null) legacy.book_odds = Number(sideOdds);
const dv = devigTwoWay(rawProp.over_odds, rawProp.under_odds);
if (dv) {
const fair = dir === 'under' ? dv.under : dv.over;
legacy.fair_prob = fair.fair_prob;
legacy.fair_odds = fair.fair_odds;
legacy.devig_method = dv.method;
legacy.overround = dv.overround;
}
if (pWin != null) legacy.model_odds = impliedProbToAmerican(pWin);
// EV at the ACTUAL price (step 2) + the takeable/value flags (steps 3-4).
// `takeable` is a property of the price alone; `value` also needs the edge.
if (sideOdds != null) legacy.takeable = isTakeable(sideOdds);
if (pWin != null && sideOdds != null) {
const ev = evPct(pWin, sideOdds);
if (ev != null) {
legacy.ev_pct = ev;
legacy.value = isValue(sideOdds, ev);
}
}
} catch { /* the value layer is additive — absent beats wrong */ }
return legacy;
}