SPX Quant Engine · Match Research Note · #1041670
◆ 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
Puskas Academy
4-2-3-1Á. PécsiG
B. Ormonde-OttewillD
P. StronatiD
W. GollaD
Q. MaceirasD
A. FavorovM
B. BatikM
Z. NagyM
M. CorbuM
G. KomáromiM
J. PlšekF
MTK Budapest
3-5-2Player 27883G
Player 27781D
T. KádárD
Player 196284D
Player 8577M
Player 28558M
M. KataM
Khaly ThiamM
M. KovácsM
Player 77015F
Player 51270F
Puskas Academy 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 2024-02-17T16:30:00.000Z 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.