SPX Quant Engine · Match Research Note · #747342
◆ 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
Ascoli
4-3-1-2Player 31443G
Player 31387D
Player 31550D
Eric BotteghinD
G. BellusciD
D. ŠarićM
F. RicciM
Player 30595M
F. CaligaraM
F. TsadjoutF
Player 10631F
Pordenone
4-1-4-1Player 31508G
Player 31526M
Christian Dalle MuraD
A. AnastasioD
Player 31512D
Player 31528D
N. CambiaghiM
K. ButićF
E. TorrasiM
Player 106236M
G. Di SerioM
Ascoli 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 2022-04-01T12:00:00.000Z 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.