SPX Quant Engine · Match Research Note · #886625
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Match Analysis
Timeline, stats, lineups, player ratings and AI insights — live during the match.
SPX xG
ⓘLineup Analysis
AFC Wimbledon
3-5-2W. JääskeläinenG
Player 275561D
Player 129057M
W. NightingaleD
Player 340476M
Player 377802M
Player 108466M
H. PellM
Player 377110D
K. HudlinF
Player 333210F
Crawley Town
4-4-2Player 278113G
Player 17682D
Player 19988D
Player 182077M
Player 19815M
Player 20097F
T. FellowsD
Player 18721M
Mazeed OgungboD
C. ChukwuemekaM
Player 20006F
Crawley Town 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 2026-06-09T02:36:46.517Z 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.