SPX Quant Engine · Match Research Note · #1180779
◆ SPX Quant Forecast
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Player Performance
final match ratingsSkalica
FK Košice
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
Skalica
4-2-3-1Player 66346G
Player 303123D
Player 7264D
Player 207947D
Player 294551D
Player 204795M
Player 55721M
Player 66302M
Player 429339M
Player 61296M
Player 330340F
FK Košice
5-3-2CristianoG
É. DavisD
N. InnocentiD
N. GorositoD
Dominik KružliakD
Player 61314D
David GallovicM
Michal FaškoM
L. GreššákM
Mohammed RharsallaF
Ž. MedvedF
Skalica 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 2024-05-10T16:00:00.000Z 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.