SPX Quant Engine · Match Research Note · #29362


◆ SPX Quant Forecast
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Player Performance
final match ratingsCagliari
Udinese
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
Cagliari
4-3-1-2A. CragnoG
C. LykogiannisD
F. PisacaneD
R. KlavanD
D. SrnaD
João PedroF
L. CastroM
A. IoniţăM
F. BradarićM
L. PavolettiF
N. BarellaM
Udinese
3-5-2J. MussoG
SamirD
W. Troost-EkongD
S. De MaioD
I. PussettoF
E. Agyemang-BaduM
M. D'AlessandroM
E. HallfreðssonM
H. ter AvestM
Ł. TeodorczykF
R. MandragoraM
Both sides named an XI close to their 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 2019-05-25T18:30:00.000Z 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.