SPX Quant Engine · Match Research Note · #1392731
◆ 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
Lokeren-Temse
4-2-3-1Player 551342
Player 332220D
R. Van Den BerghD
Player 76651D
Player 551289D
Player 8842M
Player 202442M
Player 137468M
Player 91541M
Player 281689M
Player 551257
Olympic Charleroi
Player 551296
RamalhoD
N. De MedinaD
Player 551265
Player 551269
Player 551297
Player 20723M
M. CachbachM
Player 20980M
Player 271766F
Robert IonF
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
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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.