SPX Quant Engine · Match Research Note · #867738
◆ 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
4-2-3-1Player 37919G
Player 274354D
R. van der MeerD
Player 144325D
Player 37675D
P. van OoijenM
E. LieftinkM
Eros MaddyM
A. Van KeilegomM
Player 196129M
Player 37303F
Den Bosch
4-2-3-1Player 37449G
N. de GrootD
T. van GrunsvenD
V. van den BogertD
R. MuldersD
Player 93078M
Player 37676M
J. KoningsM
F. HammoutiM
D. VerbeekM
N. MöllerF
Den Bosch 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 2022-12-15T19:00:00.000Z 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.