SPX Quant Engine · Match Research Note · #628304
Ascoli vs Monza — Match Report & Forecast Archive
◆ SPX Quant Forecast
Forecast archive — free with an account
The match facts on this page are public. The forecast archive behind this report — outcome probabilities, the stage-by-stage evolution and the graded detail — is free once you sign in.
Create a free account — unlock the full settled forecast archive: the stage-by-stage probability path, score distribution and graded record for every finished match.
Player Performance
final match ratingsAscoli
Monza
Official per-player match ratings from post-match data — descriptive, not a model output.
◆ Similar Matches
historical recordMatch Analysis
Timeline, stats, lineups, player ratings and AI insights — live during the match.
SPX xG
ⓘLineup Analysis
Ascoli
4-3-1-2Nicola LealiG
O. KraglD
R. PucinoD
R. BroscoD
A. AvlonitisD
F. CaligaraM
D. ŠarićM
Player 70351M
A. SabiriM
F. DionisiF
Soufiane BidaouiF
Monza
4-3-3Michele Di GregorioG
A. BarillàD
L. PirolaD
M. SampirisiD
Player 31452D
D. FrattesiM
Andrea BarberisM
Player 31454M
Player 30663F
F. RicciF
M. MarićF
Ascoli named a notably stronger XI than its recent baseline.
Post-Match Deep Analytics
Two lifecycle groups: pre-match signals (available before kickoff) and per-player analytics that finalize from official match data after full-time.
Integrity Lock
This report's latest stage was generated at 2021-04-09T12:00:00.000Z and its canonical JSON hashed with SHA256 — locked at lineup confirmation. Each prior stage carries its own hash inside the corresponding tab so you can audit every step independently.
Model v4.56 · 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.