SPX Quant Engine · Match Research Note · #1217036
◆ SPX Quant Forecast
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Player Performance
final match ratingsGillingham
Barrow
Official per-player match ratings from post-match data — descriptive, not a model output.
◆ Similar Matches
historical recordMatch Analysis
Timeline, stats, lineups, player ratings and AI insights — live during the match.
SPX xG
ⓘLineup Analysis
Gillingham
4-2-3-1G. MorrisG
M. ClarkD
S. OgieD
M. EhmerD
Player 127109D
A. LittleM
R. McKenzieM
Player 379045M
G. LapslieM
Player 194834M
E. NevittF
Barrow
4-2-3-1Player 353433G
B. JacksonD
C. StokesD
Player 17916D
Player 69395D
D. CampbellM
S. FoleyM
Player 82975M
Emile AcquahM
Player 385483M
G. GarnerF
Gillingham named a notably stronger XI than its recent baseline.
Post-Match Deep Analytics
Two lifecycle groups: pre-match signals (available before kickoff) and per-player analytics that finalize from official match data after full-time.
Integrity Lock
This report's latest stage was generated at 2024-09-27T14:00:00.000Z and its canonical JSON hashed with SHA256 — locked at lineup confirmation. Each prior stage carries its own hash inside the corresponding tab so you can audit every step independently.
Model v4.56 · 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.