Session 48: Name normalization at every layer + usage field (2156 tests)

Trace-first: the normalizer functions were correct (S47) but raw names still
flowed through paths that skipped them. Fixed each leaking path.

- 2a (source chokepoint): snapshotService.runSnapshot normalizes each grade's
  player to the de-dotted display AND dedupes to one grade per nameKey|stat
  (highest confidence) before writing grades:{sport} + snapshot:latest. Every
  consumer (GameCard, Explore, leaders, profile) now gets clean merged names.
- 2b: buildPlayerStripsFromProps dedupes a player's props by stat (graded >
  awaiting) → one row per stat (kills "Ks 5.5 AND Ks 3.5" variant dupes).
- 2c: scan tonightsPlayers grid groups by nameKey, displays normalized name.
- 3: profile VYNDR INTELLIGENCE "+0%"/"—" was buildIntel's defaults (separate
  from the grade card's buildIntelFields, which already works). resolvePlayerStats
  now attaches real usage (AB/G) + rest (B2B/Xd); buildIntel renders them; REST
  default is now "—".

Backend 2149 -> 2156 tests (+7), 181 suites. Web build clean (exit 0).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

BACKEND_HANDOFF.md

@@ -131,6 +131,16 @@ inline with `GradeBadge`. `onPlayerClick` → `/player/:name?sport=` (`lib/playe
 
 ---
 
+## 5a. Normalization is applied at the SNAPSHOT source (Session 48)
+
+`snapshotService.runSnapshot` normalizes every grade's player name (de-dotted
+display) and dedupes to ONE grade per `nameKey|stat_type` (highest confidence)
+BEFORE writing `grades:{sport}` + `snapshot:{sport}:latest`. Every downstream
+consumer (GameCard overlay, `/api/snapshot`, `/leaders`, profile `activeProps`)
+therefore receives clean, merged names. New consumers don't need their own
+normalization — but UI lists built from RAW odds (e.g. the scan player grid)
+must group by `nameKey` + display `normalizeName().display`.
+
 ## 5b. Player name normalization (Session 46)
 
 `src/utils/playerName.js` (+ identical `web/src/lib/playerName.js`) is the ONE

BUILD-STATE.md

@@ -4,8 +4,38 @@
 2026-06-18
 
 ## Current Phase
-SHIP BUILD v47.0 — Name normalization completed (nicknames/accents/parens),
-full MLB VYNDR INTELLIGENCE (rest/usage), ticker SCAN dedup, BOMBER threshold.
+SHIP BUILD v48.0 — Name normalization applied at EVERY layer (snapshot source,
+game-card strips, scan grid) + profile usage/rest wired. The dup-player arc closed.
+
+## Session 48 (2026-06-19) — SHIPPED ✅ NORMALIZATION AT EVERY LAYER
+
+The normalizer functions were correct (S47) but raw names still flowed through
+paths that skipped them. Traced top-down, fixed each. Backend 2149 → **2156
+tests** (+7), 181 suites. Web build clean (exit 0).
+
+### The trace (3 leaking paths)
+1. **Snapshot grades** stored RAW player names + no dedup → Explore/leaders/
+   profile/GameCard-overlay all saw variants.
+2. **Game-card strips** merged the player but pushed EVERY variant prop → "Ks 5.5
+   AND Ks 3.5" duplicate rows.
+3. **Scan player grid** (`tonightsPlayers`) grouped by raw `p.player` → variant tiles.
+
+### Fixes
+- **2a (source chokepoint):** `snapshotService.runSnapshot` now normalizes each
+  grade's player to the de-dotted display AND dedupes to ONE grade per
+  normalized player+stat (highest confidence) BEFORE writing `grades:{sport}` +
+  `snapshot:{sport}:latest`. Every consumer now gets clean, merged names for free.
+- **2b:** `buildPlayerStripsFromProps` dedupes a player's props by stat (prefers
+  the graded over an awaiting row) → one row per stat.
+- **2c:** scan `tonightsPlayers` groups by `nameKey`, displays `normalizeName().display`.
+- **3 (profile usage/rest):** the "+0%"/"—" was the PLAYER PROFILE's `buildIntel`
+  (separate from the grade card's `buildIntelFields`, which already works — the
+  full feature merge carries ab_per_game/rest_days, NOT filtered by FEATURE_NAMES
+  which is meta-only). `resolvePlayerStats` (MLB) now attaches real `usage`
+  (AB/G) + `rest` (B2B/Xd) and `buildIntel` renders them; REST default is now
+  "—" not "+0%".
+
+## Session 47 (2026-06-19) — SHIPPED ✅ NAME NORM + INTEL + TICKER POLISH
 
 ## Session 47 (2026-06-19) — SHIPPED ✅ NAME NORM + INTEL + TICKER POLISH
 

CLAUDE.md

@@ -493,6 +493,25 @@ snapshot, locked to the line, and read from cache.
   moderate). If you re-tune archetype thresholds, remember season totals are
   partial mid-season — don't use full-season cutoffs.
 
+## Normalization Chokepoints (Session 48 — non-obvious)
+- **The snapshot is the normalization SOURCE.** `snapshotService.runSnapshot`
+  normalizes every grade's player to `normalizeName().display` AND dedupes to one
+  grade per `nameKey|stat_type` (highest confidence) before writing
+  `grades:{sport}` + `snapshot:{sport}:latest`. So GameCard overlay, Explore,
+  leaders, and profile activeProps ALL inherit clean, merged names — don't add
+  per-consumer normalization, fix it here.
+- **Three paths that needed it (all fixed):** snapshot grades (above);
+  `buildPlayerStripsFromProps` dedupes a player's props by stat (graded > awaiting);
+  scan `tonightsPlayers` groups by `nameKey`. If a NEW surface lists players,
+  group by `nameKey` + display `normalizeName().display`.
+- **TWO intel renderers — don't confuse them:** the GRADE CARD (scan) uses
+  `analyzeViaEngine1.buildIntelFields(features)`; the PLAYER PROFILE uses
+  `playerIntelService.buildIntel(stats)`. The "+0%"/"—" bug was the PROFILE's
+  defaults — fixed by `resolvePlayerStats` attaching real `usage` (AB/G) + `rest`
+  and `buildIntel` reading them. The grade card already worked (the full feature
+  merge carries ab_per_game/rest_days; `FEATURE_NAMES` is meta bookkeeping only,
+  NOT a whitelist that filters the vector).
+
 ## Active Skills
 - vyndr-voice (all user-facing output)
 - prop-analysis (grading methodology)

src/services/playerIntelService.js

@@ -119,6 +119,10 @@ async function resolvePlayerStats(name, sport, opts = {}) {
       const res = await mlb.getPlayerStats(name);
       if (!res || !res.found) return { found: false };
       const classifierInput = res.group === 'pitching' ? mapMlbPitcher(res.season) : mapMlbHitter(res.season);
+      // Session 48 — real VYNDR INTELLIGENCE for the player profile: usage (AB/G)
+      // + rest (days off between the two most recent games; 0 = B2B). The
+      // classify() scorer ignores these extra keys; buildIntel reads them.
+      Object.assign(classifierInput, mlbProfileIntel(res));
       return {
         found: true,
         team: res.team || '',
@@ -164,18 +168,43 @@ async function resolvePlayerStats(name, sport, opts = {}) {
   return { found: false };
 }
 
+/**
+ * Profile VYNDR INTELLIGENCE bits from real MLB stats (Session 48):
+ * usage = AB/G (the MLB usage equivalent), rest = days off between the two most
+ * recent games ("B2B"/"Xd rest"). Returns {} when unavailable.
+ */
+function mlbProfileIntel(res) {
+  const out = {};
+  const ab = parseFloat(res.season && res.season.atBats);
+  const gp = parseFloat(res.season && (res.season.gamesPlayed ?? res.season.gamesStarted));
+  if (Number.isFinite(ab) && Number.isFinite(gp) && gp > 0) {
+    out.usage = `${Math.round((ab / gp) * 10) / 10} AB/G`;
+  }
+  const dated = Array.isArray(res.last10) ? res.last10.filter((g) => g && g.date) : [];
+  if (dated.length >= 2) {
+    const gap = Math.round((new Date(dated[dated.length - 1].date) - new Date(dated[dated.length - 2].date)) / 86_400_000);
+    if (Number.isFinite(gap) && gap >= 1 && gap <= 14) {
+      const off = gap - 1;
+      out.rest = off === 0 ? 'B2B' : `${off}d rest`;
+    }
+  }
+  return out;
+}
+
 /** Derive the VYNDR Intelligence metric row from whatever we have. */
 function buildIntel(stats, arch, propCount) {
   const clamp = (n, lo, hi) => Math.max(lo, Math.min(hi, n));
   // Form: lean on last-10 vs season if provided, else a neutral baseline that
   // scales gently with the strongest graded prop's confidence proxy.
   const form = stats.form != null ? clamp(Math.round(stats.form), 0, 100) : 70 + clamp(propCount * 4, 0, 22);
-  const usage = stats.usg != null ? `${stats.usg}%` : stats.k9 != null ? `${stats.k9} K/9` : '—';
+  // Session 48 — prefer a preformatted usage string (e.g. "3.6 AB/G"); rest
+  // shows the real value or "—" (no more bogus "+0%").
+  const usage = stats.usage || (stats.usg != null ? `${stats.usg}%` : stats.k9 != null ? `${stats.k9} K/9` : '—');
   return [
     { label: 'FORM', kind: 'form', value: String(form), score: `${clamp(form, 0, 100)}%`, color: form >= 85 ? '#00ffb8' : form >= 70 ? '#00D4A0' : '#FFB347' },
     { label: 'USAGE', kind: 'plain', value: usage, color: '#e8e8f0' },
     { label: 'MATCHUP', kind: 'grade', value: arch.primary ? gradeFromForm(form) : 'B', color: '#00D4A0' },
-    { label: 'REST', kind: 'plain', value: stats.rest || '+0%', color: '#00D4A0' },
+    { label: 'REST', kind: 'plain', value: stats.rest || '—', color: '#00D4A0' },
   ];
 }
 

src/services/snapshotService.js

@@ -25,7 +25,7 @@ const DELTA_NOISE = 0.5;        // ignore movements smaller than this
 const DELTA_MOVE = 1.0;         // ticker MOVE threshold
 const STATS_CONCURRENCY = 5;
 
-const { nameKey } = require('../utils/playerName');
+const { nameKey, normalizeName } = require('../utils/playerName');
 // Session 46 — group/dedupe by the normalized name key so "A.J. Ewing" and
 // "AJ Ewing" (or "Jazz Chisholm" / "Jazz Chisholm Jr.") collapse to one player.
 const norm = (s) => nameKey(s);
@@ -200,8 +200,23 @@ async function runSnapshot(sport, opts = {}) {
     now: deps.now,
     cacheSet: async (_k, v) => { envelope = v; },
   });
-  const graded = (envelope && Array.isArray(envelope.grades)) ? envelope.grades : [];
-  if (graded.length === 0) return { sport: sp, status: 'skipped', reason: 'no grades', gradeCount: 0 };
+  const rawGraded = (envelope && Array.isArray(envelope.grades)) ? envelope.grades : [];
+  if (rawGraded.length === 0) return { sport: sp, status: 'skipped', reason: 'no grades', gradeCount: 0 };
+
+  // Session 48 — normalize player display names + dedupe variant grades at the
+  // SOURCE so every consumer (GameCard, Explore, leaders, profile) gets clean,
+  // merged names. PropLine sends "Matt"/"Matthew", "A.J."/"AJ", "(STL)" tags as
+  // separate players; collapse to ONE grade per normalized player + stat (keep
+  // the highest-confidence; rawGraded is already confidence-desc).
+  const dedup = new Map();
+  for (const g of rawGraded) {
+    const disp = normalizeName(g.player || g.player_name).display || g.player || g.player_name || '';
+    const k = `${nameKey(disp)}|${String(g.stat_type || g.stat || '').toLowerCase()}`;
+    const cur = { ...g, player: disp, player_name: disp };
+    const prev = dedup.get(k);
+    if (!prev || (Number(g.confidence) || 0) > (Number(prev.confidence) || 0)) dedup.set(k, cur);
+  }
+  const graded = [...dedup.values()];
 
   // Archetype per unique player (pure math once we have stats). Best-effort —
   // a missing stat line → no badge (not a fallback archetype).

tests/unit/nameNormLayers.test.js

@@ -0,0 +1,77 @@
+// Session 48 — name normalization applied at every layer (snapshot grades,
+// game-card strips, scan grid).
+
+const fs = require('fs');
+const path = require('path');
+const WEB = path.join(__dirname, '..', '..', 'web', 'src');
+const snap = require('../../src/services/snapshotService');
+const slate = require('../../web/src/lib/slateAdapter');
+
+function memCache() {
+  const store = {};
+  return { store, cacheGet: async (k) => (k in store ? store[k] : null), cacheSet: async (k, v) => { store[k] = v; } };
+}
+
+describe('Phase 2a — snapshot normalizes + dedupes grades at the source', () => {
+  const baseGrades = [
+    { player: 'Matthew Liberatore', stat_type: 'strikeouts', line: 5.5, direction: 'over', grade: 'A', confidence: 80 },
+    { player: 'Matt Liberatore', stat_type: 'strikeouts', line: 3.5, direction: 'over', grade: 'B', confidence: 60 },
+    { player: 'A.J. Ewing', stat_type: 'hits', line: 1.5, direction: 'over', grade: 'B+', confidence: 70 },
+    { player: 'AJ Ewing', stat_type: 'hits', line: 1.5, direction: 'over', grade: 'C', confidence: 55 },
+  ];
+  const deps = (cache) => ({
+    getOdds: async () => ({ sport: 'mlb', props: [{ player: 'x', stat_type: 'hits', line: 1.5 }], provider: 'test' }),
+    gradeAndCacheSlate: async (_s, _p, opts) => { await opts.cacheSet('grades:x', { grades: baseGrades }); return { written: true, count: baseGrades.length }; },
+    resolveStats: async () => ({ found: false }),
+    classify: require('../../src/services/archetypeService').classify,
+    cacheGet: cache.cacheGet, cacheSet: cache.cacheSet,
+    now: () => '2026-06-19T20:00:00Z', nowMs: () => 1,
+  });
+
+  it('writes ONE grade per normalized player+stat (highest confidence), names normalized', async () => {
+    const cache = memCache();
+    await snap.runSnapshot('mlb', deps(cache));
+    const grades = cache.store['snapshot:mlb:latest'].grades;
+    // Liberatore: one strikeouts grade (the A/conf80), Ewing: one hits grade (B+/conf70)
+    expect(grades).toHaveLength(2);
+    const lib = grades.find((g) => g.stat_type === 'strikeouts');
+    expect(lib.grade).toBe('A');
+    expect(lib.player).toBe('Matthew Liberatore'); // normalized display
+    const ew = grades.find((g) => g.stat_type === 'hits');
+    expect(ew.player).toBe('AJ Ewing'); // de-dotted
+  });
+});
+
+describe('Phase 2b — game-card strips show one row per stat', () => {
+  it('collapses variant prop dupes into one strip, one row per stat', () => {
+    const strips = slate.buildPlayerStripsFromProps([
+      { player: 'Matt Liberatore', stat_type: 'strikeouts', line: 5.5 },
+      { player: 'Matthew Liberatore', stat_type: 'strikeouts', line: 3.5 },
+      { player: 'Matthew Liberatore', stat_type: 'hits_allowed', line: 4.5 },
+    ], {}, {});
+    expect(strips).toHaveLength(1);
+    // strikeouts deduped to one row; hits_allowed separate
+    const ks = strips[0].props.filter((p) => p.stat === 'Ks');
+    expect(ks).toHaveLength(1);
+    expect(strips[0].props).toHaveLength(2);
+  });
+
+  it('prefers the graded prop over an awaiting one for the same stat', () => {
+    const gradeIndex = slate.indexGrades([{ player: 'AJ Ewing', stat_type: 'hits', line: 1.5, direction: 'over', grade: 'A', gradedAt: { line: 1.5, timestamp: '2026-06-19T18:00:00Z' } }]);
+    const strips = slate.buildPlayerStripsFromProps([
+      { player: 'A.J. Ewing', stat_type: 'hits', line: 1.5 }, // matches grade
+      { player: 'AJ Ewing', stat_type: 'hits', line: 1.5 },   // variant, ungraded dup
+    ], gradeIndex, {});
+    expect(strips).toHaveLength(1);
+    expect(strips[0].props).toHaveLength(1);
+    expect(strips[0].props[0].grade).toBe('A'); // kept the graded one
+  });
+});
+
+describe('Phase 2c — scan player grid groups by nameKey', () => {
+  const src = fs.readFileSync(path.join(WEB, 'app', 'scan', 'page.tsx'), 'utf8');
+  it('groups tonightsPlayers by nameKey + displays normalized', () => {
+    expect(src).toContain('nameKey(p.player)');
+    expect(src).toContain('normalizeName(p.player).display');
+  });
+});

tests/unit/profileIntelUsage.test.js

@@ -0,0 +1,46 @@
+// Session 48 — Phase 3: player profile VYNDR INTELLIGENCE shows real usage
+// (AB/G) + rest, not "—"/"+0%".
+
+const svc = require('../../src/services/playerIntelService');
+
+const judgeAdapter = {
+  async getPlayerStats() {
+    return {
+      found: true, group: 'hitting', team: 'New York Yankees',
+      season: { homeRuns: 34, atBats: 330, gamesPlayed: 92, avg: '.288', ops: '1.012', rbi: 87 },
+      last10: [
+        { date: '2026-06-14', stat: { totalBases: 2 } },
+        { date: '2026-06-16', stat: { totalBases: 4 } }, // gap 2 → 1 day off
+        { date: '2026-06-18', stat: { totalBases: 3 } },
+      ],
+    };
+  },
+};
+
+describe('resolvePlayerStats attaches usage + rest for MLB', () => {
+  it('computes AB/G usage and rest from the game log', async () => {
+    const r = await svc.resolvePlayerStats('Aaron Judge', 'mlb', { mlbAdapter: judgeAdapter });
+    expect(r.classifierInput.usage).toMatch(/AB\/G$/);
+    expect(r.classifierInput.usage).toBe(`${Math.round((330 / 92) * 10) / 10} AB/G`);
+    expect(r.classifierInput.rest).toBe('1d rest');
+  });
+});
+
+describe('getPlayerIntel surfaces real usage + rest (no "—"/"+0%")', () => {
+  it('USAGE shows AB/G, REST shows a real value', async () => {
+    const r = await svc.getPlayerIntel('Aaron Judge', 'mlb', {
+      cacheGet: async () => null,
+      resolveStats: (name, sport) => svc.resolvePlayerStats(name, sport, { mlbAdapter: judgeAdapter }),
+    });
+    const usage = r.intel.find((m) => m.label === 'USAGE');
+    const rest = r.intel.find((m) => m.label === 'REST');
+    expect(usage.value).toMatch(/AB\/G$/);
+    expect(rest.value).toBe('1d rest');
+    expect(rest.value).not.toBe('+0%');
+  });
+
+  it('REST falls back to "—" not "+0%" when no data', async () => {
+    const r = await svc.getPlayerIntel('Nobody', 'nba', { cacheGet: async () => null, resolveStats: async () => ({ found: false }) });
+    expect(r.intel.find((m) => m.label === 'REST').value).toBe('—');
+  });
+});

web/src/app/scan/page.tsx

@@ -5,6 +5,7 @@ import { useRouter } from 'next/navigation';
 import ProcessingGrade from '@/components/vyndr/ProcessingGrade';
 import type { GradeResultData } from '@/components/vyndr/GradeResultCard';
 import { mapScanToGradeResult } from '@/lib/gradeAdapter';
+import { normalizeName, nameKey } from '@/lib/playerName';
 import { markReadComplete } from '@/lib/reads';
 import { useAuth } from '@/contexts/AuthContext';
 import { useParlay } from '@/contexts/ParlayContext';
@@ -175,15 +176,21 @@ export default function ScanPage() {
       })
       .then((data: { props?: Array<{ player?: string; stat_type?: string }> }) => {
         if (cancelled) return;
-        const byPlayer = new Map<string, Set<string>>();
+        // Session 48 — group by the normalized name key so variants
+        // ("A.J."/"AJ", "Matt"/"Matthew", "Jazz Chisholm"/"Jr.") show as ONE
+        // tile; display the normalized (longest) name.
+        const byPlayer = new Map<string, { name: string; stats: Set<string> }>();
         for (const p of data.props || []) {
           if (!p.player || !p.stat_type) continue;
-          const set = byPlayer.get(p.player) || new Set<string>();
-          set.add(p.stat_type);
-          byPlayer.set(p.player, set);
+          const key = nameKey(p.player);
+          const disp = normalizeName(p.player).display || p.player;
+          const entry = byPlayer.get(key) || { name: disp, stats: new Set<string>() };
+          if (disp.length > entry.name.length) entry.name = disp;
+          entry.stats.add(p.stat_type);
+          byPlayer.set(key, entry);
         }
-        const list = Array.from(byPlayer.entries())
-          .map(([name, stats]) => ({ name, stats: Array.from(stats) }))
+        const list = Array.from(byPlayer.values())
+          .map(({ name, stats }) => ({ name, stats: Array.from(stats) }))
           .sort((a, b) => a.name.localeCompare(b.name));
         setTonightsPlayers(list);
       })

web/src/lib/slateAdapter.js

@@ -291,7 +291,18 @@ function buildPlayerStripsFromProps(gameProps, gradeIndex, deltaIndex, now = Dat
       });
     }
   }
-  return order.map((key) => byPlayer[key]);
+  // Session 48 — one prop row per stat (variant dupes like "Ks 5.5" + "Ks 3.5"
+  // from "Matt"/"Matthew" collapse). Prefer the graded prop over an awaiting one.
+  return order.map((key) => {
+    const e = byPlayer[key];
+    const byStat = new Map();
+    for (const pr of e.props) {
+      const sk = String(pr.stat).toLowerCase();
+      const ex = byStat.get(sk);
+      if (!ex || (pr.grade && !ex.grade)) byStat.set(sk, pr);
+    }
+    return { ...e, props: [...byStat.values()] };
+  });
 }
 
 // ── MLB probable pitchers (Session 46) ──────────────────────────────