SPX Quant Engine · Match Research Note · #1234929
◆ SPX Quant Forecast
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Player Performance
final match ratingsSudtirol
Carrarese
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
Sudtirol
3-5-2Marius AdamonisG
F. VeseliD
Player 106232D
A. GiorginiD
A. BarrecaM
D. CasiraghiM
Mateusz PraszelikM
L. BelardinelliM
S. MolinaM
R. OdogwuF
S. MerkajF
Carrarese
3-5-1-1Vincenzo FiorilloG
Alessandro FontanarosaD
M. ImperialeD
F. OlianaD
M. CicconiM
Emanuele ZuelliM
Nicolás SchiaviM
Samuel GiovaneM
Player 90405M
F. MelegoniF
Player 30664F
Sudtirol 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 2025-03-15T14:00:00.000Z 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.