SPX Quant Engine · Match Research Note · #1387637


◆ SPX Quant Forecast
Sign in to read the full archive
The full settled-report archive, SHA256 verification, match facts, the Quant Arena and your personal accuracy dashboard are free — just create an account.
Match Analysis
Timeline, stats, lineups, player ratings and AI insights — live during the match.
SPX xG
ⓘLineup Analysis
Luton
4-2-3-1Player 291022G
Mads Juel AndersenD
K. NaismithD
H. OdoffinD
I. JonesD
L. WalshM
D. van den BergM
Player 307858M
K. PalmerM
S. MorrisM
N. WellsF
Barnsley
4-2-3-1Owen GoodmanG
J. EarlD
E. O'ConnellD
M. de GevigneyD
C. O'KeeffeD
L. ConnellM
Player 430830M
Player 292116M
Player 315767M
A. PhillipsM
T. BradshawF
Luton named a notably stronger XI than its recent baseline.
Post-Match Deep Analytics
Key absences, beyond-outcome calls and per-player tactical visuals — the shot-based panels finalize from official match data after full-time.
Shot-quality scatter · pass-success grid · key absences · expected shots · beyond-outcome calls — the full tactical deep-dive is a Premium feature →
Integrity Lock
This report's latest stage was generated at 2026-04-24T14:00:00.000Z and its canonical JSON hashed with SHA256. Each prior stage carries its own hash inside the corresponding tab so you can audit every step independently.
Model v4.01 · Public beta: every published forecast is timestamped and model-versioned. When the beta period ends (June 2027), per-fixture pre-kickoff forecasts become immutable under our SHA256 audit policy.