Stars Lab · Workshop · v1.38
Workshop
Calibration, trust, and method instruments — secondary to the day-to-day desk. Proof first; proxies stay labeled.
Live
12
modules with data · 1 building · 1 roadmap
Proof
1.16pp
market MAE %cap · n=349 · ~65% PR-verified · 2025-26
Proxy
xWAR
contribution · aging · outlook — labeled, not licensed GAR
01 · Lead
Measure error, refuse thin AAV, show the engine.
Market MAE 1.16 pp · n=349
On a market cohort, how wrong is fair AAV — and are residuals data or model?
Next · Weekly MAE changelog after each dial.
League PR-verified ~65%
Which scores are too thin / estimated / fallback to shout about?
Next · Public weak-score audit that updates with every seed.
02
UFA demand, comps, structure, and ex-ante deal quality.
Fair %cap × projected FA-summer ceiling — model band, not rumor.
Which players entering the next FA summers carry the most projected cap demand — and what might they cost?
Next · Age-curve adjusted bands; peer comp anchors at signing.
Peer %cap board — negotiation language, not vibes.
What do similar age / pace / position peers get paid — and should fair move?
Next · League comps explorer + residual vs peer-median %cap board.
03
Aging, contribution proxies, goalies, outlook — labeled as such.
Age factor by position — term risk lives here.
How should fair AAV move with age by position — and do residuals blow up late?
Next · Role-conditioned curves (1F vs 3F), not just F/D/G.
Transparent contribution proxy — not EH GAR, labeled as such.
Can an open WAR-style proxy (not licensed GAR) stabilize mid-star fair AAV?
Next · Surface offense/impact/ST/two-way parts on player research view.
04
Aggregate value into roster decisions.
How Worth runs: methodology · Worth · misses · Stars desk. Charter: RESEARCH.md
Tiny samples, loud rates — capped skater multiplier plus stored official goalie playoff CSV rows.
How much should playoff rate/depth move fair AAV without overfitting hot runs?
Next · Audit skater + goalie playoff nudges vs regular-season-only scores.