SPX Quant Engine · Match Research Note · #711479
◆ SPX Quant Forecast
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Player Performance
final match ratingsArsenal Tula
Akhmat Grozny
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
Arsenal Tula
4-4-2A. KochenkovG
Sergey TkachevM
D. StepanovD
Player 39354D
U. RadakovićD
K. KangwaM
A. GulievM
G. ČaušićM
G. KostadinovD
E. MarkovF
Evgeny LutsenkoF
Akhmat Grozny
4-2-3-1G. SheliaG
M. BystrovD
D. TodorovićD
M. BogosavacD
A. SemenovD
A. ShvetsM
E. KharinM
A. TroshechkinF
A. TimofeevM
B. BerishaM
D. UtkinM
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 2022-04-01T11:00:00.000Z 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.