SPX Quant Engine · Match Research Note · #1444564
◆ 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
4-1-3-2T. DonaghyG
Player 294751D
Dynel SimeuD
Player 280693D
Player 68129D
R. WoodsM
Player 560741
Player 18507M
K. HarrattM
Player 18701F
K. MorrisF
Bolton
4-2-3-1Player 298143G
R. TaylorD
W. ForresterD
Player 593032
J. Dacres-CogleyD
K. DempseyM
Player 20247M
J. Osei-TutuM
John McAteeM
Marcus ForssM
S. DalbyF
Oldham 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.