SPX Quant Engine · Match Research Note · #628090


◆ 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
4-3-3Nicola LealiG
L. SpendlhoferD
Player 31201D
R. PucinoD
R. BroscoD
D. ŠarićM
Player 31170M
Player 70351M
R. BajicF
Player 31465F
A. SabiriF
Nuova Cosenza
3-4-1-2Wladimiro FalconeG
Player 31330D
Player 31324M
M. LegittimoD
Player 50041M
Player 31341M
B. VeraM
A. TiritielloD
J. BaezF
Player 31347F
E. GliozziF
Nuova Cosenza named a modestly 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 2020-12-14T20:00:00.000Z 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.