SPX Quant Engine · Match Research Note · #717335
◆ 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
Reading
4-4-2Ø. NylandG
T. ThomasD
Tom McIntyreD
A. BabaD
M. MorrisonD
T. Dele-BashiruM
O. EjariaM
Josh LaurentF
D. DrinkwaterM
Lucas JoãoF
J. HoilettM
West Brom
4-4-2D. ButtonG
S. AjayiD
C. TownsendD
A. ReachM
K. BartleyD
G. DianganaF
J. LivermoreM
M. PhillipsM
D. O'SheaD
K. Ahearne-GrantF
J. MolumbyM
Reading 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 2022-04-29T14:00:00.000Z 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.