SPX Quant Engine · Match Research Note · #1419962
◆ 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
Avellino
4-3-1-2Player 31252G
Filippo MissoriD
Patrick EnriciD
A. IzzoD
Player 30647D
M. BesaggioM
Luca PalmieroM
D. SounasM
R. InsigneM
Player 56427F
C. PatiernoF
Modena
3-5-2F. BagheriaG
C. CauzD
Alessandro DellavalleD
D. AdorniD
M. CotaliM
Niklas PyyhtiäM
Player 637263M
Player 611384M
Player 558587
E. GliozziF
Pedro MendesF
Avellino 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 2026-06-09T02:36:46.517Z 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.