Order Zero Phase 2: three-way book split + challenger consensus ruler
CHALLENGER-FIRST. The live ruler is byte-identical: CURRENT_RULER_VERSION is still v1_first_book, nothing here writes a cache, a grade or a ledger row, and no live code path calls consensusRuler yet. bookRoles.js splits one allow-list into three, because it was answering two different questions -- "can we show this?" and "can we price against this?" -- with the same list, which is what bent the ruler. TAKEABLE the user can actually bet here (drives best price / shopping) REFERENCE may price the fair-prob ruler; never surfaced as a place to bet EXCLUDED DFS pick'em + offshore, permanently barred from all pricing Two deliberate calls, both evidence-based: - The six PropLine-phantom books (caesars/fanatics/bet365/hardrockbet/ pointsbet/thescore) are KEPT despite the order saying remove. They returned zero PropLine quotes, but PropLine is not our only provider and the odds-api backup path may carry them. A book that never appears is never matched, which costs nothing; deleting them risks silently dropping real books on the backup with no upside. Recorded in PHANTOM_ON_PROPLINE rather than enacted as a deletion. - REFERENCE = exchanges + pinnacle + bovada + the four US majors, chosen off the measured coverage curve rather than theory. exchange_only is cleanest (order-book, ~zero vig) but covers 14.3% of MLB and 5.6% of WNBA; adding the US majors gives 28.1% / 46.3%. pinnacle, matchbook and polymarket measured 0% on both sports and add nothing. The honest limitation is recorded in the config: this is a MARKET consensus, not a SHARP one. consensusRuler.js: median de-vigged fair_prob across >=2 reference books posting BOTH sides at the SAME line. Median so one stale exchange cannot drag it. Different lines are never averaged, one-sided quotes never rule, and n<2 falls back to single-book LABELLED as such with the v1 stamp -- never silently mixed, because a column holding both is two rulers wearing one name. The challenger delta runs over the live feed and reports incumbent_book_ roles, which is the real headline: the incumbent is literally first-row- wins, so it reports what KIND of book has been acting as "the market". DFS pick'em has the highest coverage in the feed, so a DFS book can be it. 18 ruler tests + 37 total in the two new suites. Full suite 4021 passed. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01QJs13VsyiSKYQP6rj3NNmc
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@@ -250,6 +250,91 @@ const REFERENCE_POLICIES = Object.freeze({
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takeable_only: ['draftkings', 'fanduel', 'betmgm', 'betrivers'],
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});
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/**
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* CHALLENGER DELTA (Order Zero, Phase 2 item 7). Computes BOTH rulers over the
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* live feed and reports the difference. The live ruler is untouched — nothing
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* here writes a cache, a grade or a ledger row.
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*
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* The headline is not the delta size. It is `incumbent_book_roles`: the
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* incumbent is first-row-wins, so it reports WHICH KIND of book has been acting
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* as "the market" — and DFS pick'em has the highest coverage in the feed.
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*/
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function rulerDelta(raw) {
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const { compareRulers } = require('./consensusRuler');
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const { roleOf } = require('../config/bookRoles');
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const byPropLine = new Map(); // key -> [{book, line, over_odds, under_odds}] in FEED ORDER
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for (const ev of raw || []) {
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if (!ev || !Array.isArray(ev.bookmakers)) continue;
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for (const bm of ev.bookmakers) {
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if (!bm || !bm.key || !Array.isArray(bm.markets)) continue;
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for (const mk of bm.markets) {
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const pairs = new Map();
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for (const oc of (mk && mk.outcomes) || []) {
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if (!oc || !oc.description || oc.point == null) continue;
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const k = `${oc.description}::${oc.point}`;
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if (!pairs.has(k)) pairs.set(k, { player: oc.description, point: oc.point });
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if (oc.name === 'Over') pairs.get(k).over = oc.price;
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else if (oc.name === 'Under') pairs.get(k).under = oc.price;
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}
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for (const q of pairs.values()) {
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const key = `${ev.id}|${q.player}|${mk.key}|${q.point}`;
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if (!byPropLine.has(key)) byPropLine.set(key, []);
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byPropLine.get(key).push({ book: bm.key, line: q.point, over_odds: q.over, under_odds: q.under });
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}
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}
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}
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}
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const deltas = [];
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const roleCounts = {};
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let consensusAvailable = 0;
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let bothAvailable = 0;
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let disagree2pts = 0;
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let disagree5pts = 0;
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for (const [key, quotes] of byPropLine.entries()) {
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const line = quotes[0].line;
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const c = compareRulers(quotes, line, 'over');
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if (c.consensus.source === 'consensus') consensusAvailable += 1;
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if (c.incumbent.book) {
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const r = roleOf(c.incumbent.book);
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roleCounts[r] = (roleCounts[r] || 0) + 1;
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roleCounts[`book:${c.incumbent.book}`] = (roleCounts[`book:${c.incumbent.book}`] || 0) + 1;
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}
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if (c.delta_pts != null && c.consensus.source === 'consensus') {
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bothAvailable += 1;
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deltas.push(c.delta_pts);
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if (Math.abs(c.delta_pts) >= 2) disagree2pts += 1;
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if (Math.abs(c.delta_pts) >= 5) disagree5pts += 1;
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}
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}
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const sorted = [...deltas].sort((a, b) => a - b);
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const at = (p) => (sorted.length ? round2(sorted[Math.min(sorted.length - 1, Math.floor((p / 100) * sorted.length))]) : null);
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const abs = deltas.map(Math.abs).sort((a, b) => a - b);
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return {
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prop_line_groups: byPropLine.size,
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consensus_available: consensusAvailable,
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consensus_available_pct: byPropLine.size ? round2((100 * consensusAvailable) / byPropLine.size) : null,
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comparable: bothAvailable,
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// WHICH KIND of book has been serving as "the market" under first-row-wins.
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incumbent_book_roles: roleCounts,
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delta_pts: sorted.length ? {
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mean: round2(deltas.reduce((a, b) => a + b, 0) / deltas.length),
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median: at(50), p10: at(10), p90: at(90),
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abs_median: abs.length ? round2(abs[Math.floor(abs.length / 2)]) : null,
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abs_p90: abs.length ? round2(abs[Math.floor(0.9 * abs.length)]) : null,
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} : null,
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disagree_ge_2pts: disagree2pts,
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disagree_ge_2pts_pct: bothAvailable ? round2((100 * disagree2pts) / bothAvailable) : null,
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disagree_ge_5pts: disagree5pts,
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disagree_ge_5pts_pct: bothAvailable ? round2((100 * disagree5pts) / bothAvailable) : null,
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};
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}
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/** One read-only probe. Never throws; classifies works / partial / no. */
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async function probe(path, params, note, httpGet) {
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const get = httpGet || axios.get;
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@@ -350,6 +435,7 @@ async function verify(opts = {}) {
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continue;
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}
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out.per_sport[sport] = analyseBreadth(raw, allowed);
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out.per_sport[sport].ruler_delta = rulerDelta(raw);
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const ev = raw.find((e) => e && e.id && Array.isArray(e.bookmakers) && e.bookmakers.length);
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if (ev) firstEvent[sport] = { id: ev.id, key: PA.SPORT_KEYS[sport] };
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} catch (err) {
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@@ -409,4 +495,4 @@ async function verify(opts = {}) {
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return out;
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}
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module.exports = { verify, __internals: { analyseBreadth, scrubKeys, probe, summarise, detectRedaction, REFERENCE_CANDIDATES, REFERENCE_POLICIES, DFS_PLATFORMS, BASE } };
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module.exports = { verify, __internals: { analyseBreadth, scrubKeys, probe, summarise, detectRedaction, rulerDelta, REFERENCE_CANDIDATES, REFERENCE_POLICIES, DFS_PLATFORMS, BASE } };
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