SPX Quant Engine · Match Research Note · #903902


◆ 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
4-3-1-2Nicola LealiG
Player 322954D
L. ŠimićD
Eric BotteghinD
C. AdjapongD
F. CaligaraM
Player 70351M
Player 30658M
Pedro MendesM
F. DionisiF
Francesco ForteF
Nuova Cosenza
3-4-1-2A. MicaiG
Sauli VäisänenD
Player 30715D
Player 330776D
Player 31327M
M. BrescianiniM
I. VocaM
M. MarrasM
Player 26982F
Player 345467F
Player 30664F
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 2023-05-12T12:00:00.000Z 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.