SPX Quant Engine · Match Research Note · #1419825


◆ 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
Padova
4-4-2Alessandro SorrentinoG
A. BarrecaD
M. PerrottaD
Lorenzo VillaD
Player 30582D
Francesco Di MarianoM
J. HarderM
Player 106261M
Player 135376M
K. LasagnaF
A. SeghettiF
Carrarese
3-1-4-2Marco BleveG
J. IllanesD
F. OlianaD
Nicolò CalabreseD
Nicolás SchiaviM
Jonas RouhiM
Luis HasaM
Emanuele ZuelliM
Player 90405M
Player 281191F
T. RubinoF
Carrarese 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 2026-02-09T19:00:00.000Z 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.