SPX Quant Engine · Match Research Note · #594294
◆ 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
Oldham
3-4-2-1Player 118768G
Player 127450M
C. Borthwick-JacksonM
Player 18120D
Player 45322F
Player 17926M
D. BahamboulaF
Player 18328D
A. McCalmontM
Harry ClarkeD
C. McAlenyF
Colchester
4-2-3-1Player 19718G
Player 17569D
M. Welch-HayesD
T. EastmanD
T. SmithD
Player 17573M
H. PellM
F. NoubleF
Player 18366M
Player 17577M
Player 19615M
Colchester 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 2021-04-08T18:00:00.000Z 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.