SPX Quant Engine · Match Research Note · #1386096
◆ 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
Cheltenham
4-2-3-1J. DayG
Player 394597D
Player 441034D
J. WilsonD
Arkelle Nicholas Cecil Jude-BoydD
Player 82356M
L. KinsellaM
E. ArcherM
Player 20338M
J. MartinM
L. AngolF
Oldham
4-4-2Player 19432G
Player 45095D
E. MontheD
D. DanielsD
Player 280693D
Player 17920M
T. ConlonM
R. WoodsM
T. PettM
M. MellonF
Player 18570F
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 2025-09-19T14:00:00.000Z 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.