SPX Quant Engine · Match Research Note · #1206589
◆ SPX Quant Forecast
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Match Analysis
Timeline, stats, lineups, player ratings and AI insights — live during the match.
SPX xG
ⓘLineup Analysis
RWDM
4-2-3-1Player 8442G
N. DodeigneD
David SousaD
D. DoudaevD
M. SambuD
S. AbeM
Player 354839M
G. RobailM
I. ZianiM
M. BironM
P. ParzyszekF
Lokeren-Temse
4-1-4-1B. GabrielG
Player 136218D
Player 385521D
Denis PrychynenkoD
Player 8834D
Player 202442M
Player 163376M
R. NainggolanM
Player 137468M
I. BoonenM
Player 198473F
Lokeren-Temse 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 2025-03-08T18:15:00.000Z 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.