Session 44: Make it visible — VYNDR archetype names, grade intel, schedule fix, landing page (2061 tests)

Frontend + wiring only. Wires existing backend into the pages users see.

- VYNDR Original archetype rename (41) across archetypeService.js + lib/
  archetypes.js + ArchetypeBadge, each keeping legacyName (resolves stale data).
  Judge -> BOMBER. Old POWER PULL slot -> WHIFF strikeout-artist pitcher.
- BACKEND_HANDOFF.md: canonical frontend<->backend data contract.
- Grade card intel: scan/page.tsx now forwards the engine's intel fields
  (season_avg/form/usage/matchup_grade/archetype/...) into mapScanToGradeResult
  -> STAT CONTEXT + VYNDR INTELLIGENCE sections populate. The chain already
  preserved them (tierGating + /api/scan spread); the page was dropping them.
- Schedule freshness: slateAdapter.isRelevantGame drops completed games >24h
  old; Slate.filteredGames applies it. (TTL already 60s.)
- Landing: Features.tsx rewritten to user-facing copy (no Point-biserial/Zone
  14/ABS/Phi-coefficient).
- Depth chart Next proxies added (/api/stats/lineup|depth|cascade) - were 404.
- GameCard swap DEFERRED (Kev): legacy on-demand card stays as a bridge until
  the snapshot pipeline populates the grades cache; vyndr/GameCard swaps in then.

Backend 2045 -> 2061 tests (+16), 167 suites. Web build clean (exit 0).

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

web/src/components/Features.tsx

@@ -1,33 +1,33 @@
 const FEATURES = [
   {
     icon: '◆',
-    title: 'Multi-dimensional player archetypes',
-    body: 'Players aren\'t one thing. Our model scores every dimension — pitcher discipline, batter approach, NBA usage shape — and blends them per matchup.',
+    title: 'Player DNA archetypes',
+    body: 'Every player has a prop fingerprint. We classify it, show you which props are reliable vs volatile, and grade accordingly.',
   },
   {
     icon: '↻',
-    title: 'Auto-calibrating engine',
-    body: 'Every resolved grade trains the next one. Point-biserial weight tuning, per-stat calibration, blind-spot detection. The model improves itself.',
+    title: 'Self-improving model',
+    body: 'Every resolved grade makes the next one sharper. The engine learns what works and corrects what doesn\'t.',
   },
   {
     icon: '⚡',
-    title: 'Beat reporter intelligence',
-    body: 'Lineup intel from the people closest to the team — 30 minutes before tip. Trust-tiered, redistribution-aware, line-correlated.',
+    title: 'Lineup intel before tip-off',
+    body: 'Real-time lineup and injury data from trusted sources, giving you the edge before the books adjust.',
   },
   {
     icon: '⊘',
     title: 'Kill conditions',
-    body: 'We don\'t just grade the prop. We tell you what kills it. Six hard checks per read: minutes, sample, fatigue, blowout risk, splits, line conflict.',
+    body: 'Six hard checks on every prop. If minutes, fatigue, blowout risk, or splits say no, we flag it — even on an A grade.',
   },
   {
     icon: '∿',
     title: 'Parlay correlation math',
-    body: 'Phi-coefficient analysis catches the legs that secretly fight each other. The books love correlated unders. We surface them.',
+    body: 'We catch the legs that secretly fight each other. The books love correlated unders — we surface them before you tap.',
   },
   {
     icon: '⌧',
-    title: 'ABS intelligence (MLB)',
-    body: 'The automated strike zone changes everything. Per-pitcher, per-batter discipline scoring. Zone 14 framing loss. Challenge math.',
+    title: 'Deep pitcher-batter matchups',
+    body: 'We score discipline, contact quality, and zone tendencies for every MLB matchup. Not just ERA.',
   },
   {
     icon: '◯',

web/src/components/Slate.tsx

@@ -4,6 +4,7 @@ import { useCallback, useEffect, useMemo, useState } from 'react';
 import { useRouter } from 'next/navigation';
 import GameCard, { SlateSport, GameLines, GameStreak } from '@/components/GameCard';
 import { PropRowProp, PropRowResult, propRowKey, Tier } from '@/components/PropRow';
+import { isRelevantGame } from '@/lib/slateAdapter';
 import { useAuth } from '@/contexts/AuthContext';
 // Session 23 — all-day intelligence layer. The stat filter is the
 // navigation system; streaks + hot lists layer ON TOP of the odds the
@@ -507,9 +508,12 @@ export default function Slate({ initialTab = 'all', tier = 'free' }: SlateProps)
 
   // Filter pipeline — searchQuery applied to games + props.
   const filteredGames = useMemo(() => {
-    if (!searchQuery.trim()) return games;
+    // Session 44 — drop completed games >24h old so a 5-day-old FINAL never
+    // lingers on the dashboard. Upcoming + live always show.
+    const fresh = games.filter((g) => isRelevantGame(g));
+    if (!searchQuery.trim()) return fresh;
     const q = searchQuery.toLowerCase();
-    return games
+    return fresh
       .map((g) => {
         const homeMatch = g.homeTeam.toLowerCase().includes(q);
         const awayMatch = g.awayTeam.toLowerCase().includes(q);

web/src/components/vyndr/ArchetypeBadge.tsx

@@ -1,7 +1,7 @@
 import { badgeStyle, glyphSvg } from '@/lib/archetypes';
 
 interface ArchetypeBadgeProps {
-  archetype: string; // archetype name, e.g. "POWER PULL" (case-insensitive)
+  archetype: string; // VYNDR archetype name, e.g. "BOMBER" (case-insensitive; legacy names resolve too)
   sport?: string; // nba/mlb/wnba/soccer — informational; styling is per-archetype
   variant?: 'full' | 'ghost' | 'tint';
   size?: 'sm' | 'md';