SPX Quant Engine · Match Research Note · #1041738
◆ SPX Quant Forecast
Sign in to read the full archive
The full settled-report archive, SHA256 verification, match facts, the Quant Arena and your personal accuracy dashboard are free — just create an account.
Match Analysis
Timeline, stats, lineups, player ratings and AI insights — live during the match.
SPX xG
ⓘLineup Analysis
Zalaegerszegi TE
4-2-3-1Player 28436G
B. BediD
Player 63625D
Stefanos EvangelouD
Player 27792D
Player 198276M
B. SankovićM
Player 127557M
Player 27901M
Player 377208M
A. ManceF
Paks
3-5-2P. SzappanosG
B. LenzsérD
Á. KinyikD
G. VasD
E. SilyeM
B. BaloghM
J. WindeckerM
S. MezeiM
A. OsváthM
A. SkribekF
B. TóthF
Paks named a notably stronger XI than its recent baseline.
Post-Match Deep Analytics
Key absences, beyond-outcome calls and per-player tactical visuals — the shot-based panels finalize from official match data after full-time.
Shot-quality scatter · pass-success grid · key absences · expected shots · beyond-outcome calls — the full tactical deep-dive is a Premium feature →
Integrity Lock
This report's latest stage was generated at 2024-05-10T15:30:00.000Z and its canonical JSON hashed with SHA256. Each prior stage carries its own hash inside the corresponding tab so you can audit every step independently.
Model v4.01 · 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.