SPX Quant Engine · Match Research Note · #1382206
◆ 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
Helmond Sport
5-3-2M. BergsenG
T. PollD
D. VosD
B. KoglinD
Player 340598D
J. OgeniaD
Pol LlonchM
N. MakanzaM
A. DizdarevićM
L. BajramiF
L. DaneelsF
FC OSS
4-1-4-1Player 37919G
Player 350644D
D. VianelloD
Merijn van de WielD
Player 274354D
M. van RooijenM
L. SlagveerM
M. RemansM
L. MolM
Player 503552M
Player 272696F
FC OSS 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 2026-03-05T19:00:00.000Z 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.