Follow-up to the rare-event under fix — the whitelist (doubles/triples/HR/SB)
was fragile: the same juiced-under problem exists for steals, blocks, and any
other low-frequency market, and a new stat would slip through.
The real signal is the book's own price. The doubles unders were priced -625 to
-1100 — laying 6-11x to win 1x on an ~82% event, with no value the model could
recover. So the PRIMARY guard is now stat/sport-agnostic: analyzeViaEngine1
refuses any read whose graded-side odds are past the juice floor
(JUICE_ODDS_FLOOR, default -400, env-tunable). That catches every version of
this — steals, blocks, anything — and it also keeps the public record honest
(those -800 "wins" hit ~82% of the time and would inflate the hit rate, the same
class as the projection-0 degradation).
The structural rare-event rules stay as the BACKUP for props with no odds
(list also expanded cross-sport: + steals, blocks). Normal + longshot prices
(-110, -250, +600) are preserved. 16 tests cover both layers.
Reported: the doubles projection was REAL per-player (not a fallback); the fix
is the price guard, not a bigger list.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Betting-logic audit: the CONSENSUS-vs-MODEL board flooded with fake reads like
"DOUBLES u0.5 · MODEL 0.2 · +edge" — the juiced under side of rare counting-stat
markets (doubles/triples/HR/SB), which is never a takeable edge and violates the
no-unders-default doctrine.
Report finding (item 3/4): the doubles projection is REAL per-player, not a flat
fallback — 'doubles' maps to a real game-log field (MLB_LOG_FIELD doubles→
doubles) and the live values varied (0.03/0.16/0.2/0.22). So no projection-gate
refusal for fakeness; the problem is purely structural (a rare event's real
projection always sits below a 0.5 line, so the under always "wins").
Fix (config-driven — src/config/rareEventMarkets.js, tunable stat list + line
threshold):
- Grade layer (analyzeViaEngine1): a rare-event UNDER at ≤0.5 is always REFUSED
(grade null + suppressed flag/reason). A rare-event OVER at ≤0.5 is refused
UNLESS the model genuinely projects the event above the line — because a
0.2-over-0.5 carries the SAME |edge| as the suppressed under and would just
take its rank on the board. The over grades normally once projection > line.
- Board layer (marketBreadth.collectBreadth): drops null-model rows so a
suppressed/ungraded prop can't rank a "MODEL —" placeholder onto the board.
10 suppression tests + config locks; also fixed a settingsPage book assertion
left over from the ESPN→theScore swap. Suite 274/3289 green, web build exit 0.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The #1 board item — three grading bugs the phone audit surfaced, all in the
live Node grade path (engine1 + analyzeViaEngine1), fixed at the source.
1. PROJECTION=0 NOW REFUSES. projectionFor returned l5_avg even when it was 0
(finite, so the `== null` gate passed it) — 9/25 live grades graded on a
zero projection, producing a degenerate edge and a hollow grade. Now a
non-positive reference is not a projection: projectionFor skips it and falls
through to the next POSITIVE reference (l5 -> l20 -> per_90 -> xg); when none
is positive it returns null and the read REFUSES (insufficient_data). The
gate also gained an explicit `> 0` guard so the invariant is structural — a
grade can never be emitted with a non-positive projection. Fewer graded
props, honest.
2. EDGE_PCT. The formula was already (model - line) / line signed by direction
— Kev's intended semantics. The broken {20,60,100,140} cluster was the
proj=0 degeneracy ((line - 0)/line = 100%); with #1 those refuse, so the
fabricated 100s vanish and real edges flow. The main-line edge now reuses
the VALIDATED projection (edgePctFor accepts an optional ref) so edge and
the persisted projection can never diverge. Frontend |edge|>40 guard stays
as a safety net.
3. LETTER == THRESHOLD_TABLE(CONFIDENCE). engine1's hand-rolled
GRADE_TO_CONFIDENCE drifted a full sub-tier low (B -> 0.55, which the
canonical grade_thresholds.json calls B-) — the "B at 45%" the audit caught.
Now confidence is DERIVED from each grade's band MIDPOINT in
grade_thresholds.json (one source of truth, shared with the Python engine),
so applying the threshold table to any grade's displayed confidence resolves
back to the same letter. Proven for all 11 grades.
Regression locks: tests/unit/mlbGradeDegradation.test.js (14 tests). Backend
suite 269/3253 green, web build exit 0.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
PROMISE-AUDIT.md: every /pricing claim → verified/built/reworded.
BUILT (was vapor): alt line ladder + edge ranking (same-features regrade
at shifted lines, Desk-gated at the API), quarter-Kelly (engine quantile
P(win) x real captured odds — either missing → no sizing), free-tier
kill-condition locked previews. FIXED (was false): analyst 15/day cap vs
the Founder 'Unlimited reads' promise → analyst unlimited; every '40+
factors' claim (real count: 22 named features) reworded truthfully in 7
files. VERIFIED: cascade alerts (real, wired), phi correlation,
leg history, cross-book comparison, WC soccer, real-time feed.
Locked by tests/unit/promiseAudit.test.js. Jest now ignores
.claude/worktrees (parallel agents' suites no longer leak into runs).
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
ledger_entries is live (migration 019 applied to prod, RLS + NULLS NOT
DISTINCT dedupe verified against the real database). Every grade now
persists, settles against the real result, and carries closing-line value.
- ledgerService: pipeline pre-grade upserts (public model record, user_id
null, idempotent), closing capture on every snapshot (last write before
game start = the close), settlement with SIGNED CLV (over = locked -
closing; beat/faded/flat), 30d model aggregate with the hard n>=20 rule.
- Write paths: snapshotService -> ledger (priority path); Next /api/scan ->
ledger for authenticated users only (anon never touches the public
record). Refused reads write nothing and don't burn a scan.
- Honest refusal (work-order 1.5): no projection => insufficient_data,
grade null, "INSUFFICIENT DATA - no read" UI. The web gradeAdapter no
longer displays the line as the model projection (the audit's
model==line / +0% edge degenerate); the card renders absent states.
projectionFor is sport-aware (l5 -> l20 -> {stat}_per_90 -> xG).
- /ledger: MY READS | MODEL tabs; model header shows hit% + beat-close%
only at n>=20, else RECORD BUILDING + live pending count. ModelRecord
deferred-render strip on landing + player hero. CLV + outcome chips,
revised_from_grade strikethrough (Phase 2.5 ready).
- SYNC (Task 5): thresholds vs SNAPSHOT_EXPECTED_INTERVAL (normal <1.5x,
amber >=1.5x, STALE red >=3x) via /api/snapshot/summary.
- Phase 2.5 logged in specs/vyndr-roadmap.md (build after Phase 3).
- Data-semantics hardening: strict null-safe numeric parsing everywhere a
market value is handled (Number(null)===0 would have fabricated lines).
Backend 2309 -> 2327 tests (201 suites), web build exit 0.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
- Name normalization completed: NICKNAMES table (Matt↔Matthew, Mike↔Michael...)
resolved in nameKey, parenthetical team-tag strip "(STL)", verified accent-fold
(Iván/Ivan, José/Jose). Slate strip now DISPLAYS the normalized de-dotted name
("AJ Ewing" not "A.J. Ewing") via buildPlayerStripsFromProps.
- Complete MLB VYNDR INTELLIGENCE: mlbGameLogFeatures derives rest_days (days off
between latest games; 0=B2B) + ab_per_game (usage). buildIntelFields renders
usage as "X AB/G", rest as B2B/Xd, matchup from bvp_advantage fallback.
- Ticker SCAN dedup: pushTickerItems keeps one SCAN per sport (sport field or
text-prefix parse for legacy); MOVE/GRADE preserved; cap 50.
- BOMBER threshold prorated for mid-season (hr>=15 strong / >=10 mod) so June
sluggers classify BOMBER not FLEX/DRIVER.
Backend 2122 -> 2149 tests (+27), 179 suites. Web build clean (exit 0).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Three focused P1 fixes on the Session-45 snapshot model.
- Grade card intel ROOT CAUSE: gameLogService is NBA/WNBA-only (offline Python),
so MLB props never got l5_avg/l20_avg and buildIntelFields returned {}. Wired
MLB game logs into featureCache.gameLogFeatures via mlbStatsAdapter.getPlayerStats
(pure mlbGameLogFeatures + MLB stat_type->field map). buildIntelFields gained
playerStats/projection fallbacks for partial intel.
- Player name normalization: src/utils/playerName.js (+ web/src/lib copy):
normalizeName -> {display,key}. Strips periods, de-dots suffix, accent-folds
the key. Applied in snapshotService grouping, slateAdapter grade index +
player-strip merge (variants collapse, longest name shown), and
playerIntelService. "A.J. Ewing"/"AJ Ewing" + "Jazz Chisholm"/"Jr." now merge.
- MLB starting pitchers: new GET /api/schedule/:sport/pitchers (probablePitchers
service wrapping mlbStatsAdapter.getScheduleWithPitchers + best-effort ERA).
Slate fetches it, builds a team->pitcher map (full name + mascot match),
attaches pitchers to MLB GameCardData. + Next proxy.
Backend 2100 -> 2122 tests (+22), 176 suites. Web build clean (exit 0).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
P0 fixes + wiring real data into the S42 Player Intelligence architecture.
- P0 dropdown z-index: the nav's backdrop-filter stacking context let the
Ticker/HeartbeatBar paint over the avatar/More dropdowns and eat clicks.
nav now position:relative zIndex:2; menus zIndex:100. Avatar Settings ->
/settings.
- Real MLB stats: mlbStatsAdapter.searchPlayer + getPlayerStats (name->id->
season+gamelog). playerIntelService.resolvePlayerStats normalizes into the
archetype classifier; getPlayerIntel returns found:true + real season +
archetype classified from real stats. NBA via nbaStatsClient (degrades).
- Game cards: slateAdapter.groupPropsByPlayer (playerStrips, name once) +
mapPitchers (MLB probables), folded into mapScheduleToGameCards. Legacy
GameCard line grid renders BookChip (brand colors) not grey text.
- Grade card intel: analyzeViaEngine1.buildIntelFields computes stat-context +
form/usage/matchup/rest from the existing feature vector (zero extra I/O);
gradeAdapter lights up the card sections. Archetype deferred (needs season
line at grade time).
- Depth chart foundation: depthChartService (getLineup/getDepthChart/
getCascadeProjection) + /api/stats/lineup|depth|cascade, graceful + injectable.
- Mobile: player hero name overflow-wrap + 24px on <=640px (was clipping).
Backend 2011 -> 2045 tests (+34), 163 suites. Web build clean (exit 0).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
builtbykev