SPX Quant Engine · Match Research Note · #1063241


◆ 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
Pisa
4-2-3-1Player 56267G
Pietro BeruattoD
Simone CanestrelliD
Antonio CaraccioloD
A. CalabresiD
Andrea BarberisM
Gabriele PiccininiM
J. MlakarM
M. ValotiM
Lisandru TramoniM
N. BonfantiF
Modena
3-4-2-1A. SeculinG
C. CauzD
Player 56225D
A. RiccioD
Player 136005M
T. BattistellaM
Player 32190M
S. SantoroM
A. PalumboF
Player 281191F
E. GliozziF
Modena 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 2024-02-27T19:30:00.000Z 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.