SPX Quant Engine · Match Research Note · #876184
◆ 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
AFC Wimbledon
3-5-2Player 20356G
Player 19849D
Player 275561D
C. GunterD
J. CurrieM
Player 108466M
Edmond-Paris MaghomaM
H. PellM
Player 377110M
Player 129923F
Player 157022F
Colchester
4-3-3K. O'HaraG
A. KazeemD
T. Dallison-LisbonD
L. ChambersD
J. TchamadeuD
Player 17920M
Player 19741M
Dan ChestersM
K. AppiahF
Player 19748F
M. LongstaffF
AFC Wimbledon 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 2022-09-30T14:00:00.000Z 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.