SPX Quant Engine · Match Research Note · #1392664
◆ 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
Lokeren-Temse
4-1-4-1T. TroostG
Player 332220D
Player 385521D
Player 551307
Player 551234
Player 8842M
Player 137468M
Player 202442M
Player 91541M
Player 281689M
Player 551233
Kortrijk
3-4-1-2M. IlićG
J. NdjeungoueD
B. LambertD
Rudy KohonD
Player 332737M
B. DejaegereM
M. OsifoM
Player 294561M
Player 291910F
T. AmbroseF
J. Van LandschootF
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 2025-11-28T15:00:00.000Z 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.