SPX Quant Engine · Match Research Note · #1096359
◆ 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
Bologna U19
Nicola Bagnolini
Player 229111
W. Amey
Player 382996
Player 408571
Naïm Byar
Player 406767
Player 436910
Player 451430
Tommaso Ravaglioli
Player 382998
Torino U19
Player 359819
Vimoj Muntu Wa Mungu
Player 386426
Player 403635
Senan Mullen
Marco Dalla Vecchia
Player 423303
Sergiu Perciun
Player 348322
Alieu Njie
Tommaso Gabellini
Both sides named an XI close to their 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.