Wave 3: Record by grade tier — shared TierRecord across dashboard, /u, ledger

Addition 2 (non-negotiable): the model's record must show PER GRADE TIER
(A+ went X-Y, A X-Y, …) everywhere the record appears. A blended % hides the
proof that higher grades win more — the tier calibration IS the credibility.

The backend already computed `by_tier` in getModelAggregate; this is display
propagation via ONE shared component (the class fix, not five one-offs).

- web/src/lib/tierRecord.js — testable CommonJS row-builder. W-L counts ALWAYS
  (honest at any n); hit-% only when the upstream n≥20 gate passed (hit_pct !=
  null), else "RECORD BUILDING · N settled". Order A+ A B C D F. A-tier is the
  only edge (green) tier — no glow below A, red reserved for outcomes.
- web/src/components/vyndr/TierRecord.tsx — the ONE shared table. Presentational
  (byTier) for /u + ledger; self-fetch (/api/ledger/model, sport-scoped) for the
  dashboard. Fully self-hides until a tier has a settled read.
- Ledger swaps its inline TierCalibration for the shared component (single
  source). /u PublicProfile renders it below the blended hero (by_tier added to
  the aggregate type; it already flows through the route + proxy untouched).
  Dashboard gains a compact per-tier surface.
- Endpoint/proxy audit: profiles.js + ledger.js return the full aggregate
  (by_tier included); both Next proxies pass the body through — no threading
  needed. No change to the gate or math in getModelAggregate.

Tests: tests/unit/tierRecord.test.js (row logic + tier order + edge contract +
source-assert all three surfaces render the shared component). ledgerService
test gains an A+-stands-alone bucketing case. Full suite green (243 suites /
2961 tests); web next build exits 0.

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

web/src/app/dashboard/page.tsx

@@ -10,7 +10,7 @@ import { GradePill } from '@/components/GradeCard';
 // below as intelligence layers on top of the raw odds.
 import Slate from '@/components/Slate';
 // Session 55 — the self-learning loop's track record, live in the header.
-import { AccuracyBadge, Skeleton, SkeletonList } from '@/components/vyndr';
+import { AccuracyBadge, Skeleton, SkeletonList, TierRecord } from '@/components/vyndr';
 // Session 57 (Phase 0) — honest per-sport empty-slate copy.
 import { emptyStateCopy } from '@/lib/emptyState';
 // Session 59 (work-order 2.3) — the real pipeline schedule for waiting states.
@@ -306,6 +306,15 @@ export default function DashboardPage() {
         }}
       />
 
+      {/* Wave 3 (Addition 2) — the model's record BY GRADE TIER. Self-fetches
+          /api/ledger/model (scoped to the selected sport) and fully self-hides
+          until a tier has a settled read — no empty header. The SAME shared
+          TierRecord that renders on /u and the ledger; the calibration
+          gradient is the proof higher grades win more. */}
+      <div style={{ marginTop: 28 }}>
+        <TierRecord sport={sport} title="MODEL RECORD BY GRADE" dense />
+      </div>
+
       {/* Top grades tonight — DS2 (#1, #13, Part 6). Tonight's grades RANKED on
           the varying signal (selectTopGrades: tier → confidence → edge) so the
           row isn't identical-weight noise; when tonight is empty we fall back to