SPX Quant Engine · Match Research Note · #717257


◆ 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.
Create a free account — unlock the full settled forecast archive: the stage-by-stage probability path, score distribution and graded record for every finished match.
Player Performance
final match ratingsMiddlesbrough
Cardiff
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
Middlesbrough
3-5-2L. DanielsG
A. DijksteelD
M. BolaM
S. BambaD
R. McGreeM
Marcus TavernierM
D. WatmoreF
P. McNairD
J. HowsonM
I. JonesM
Folarin BalogunF
Cardiff
4-3-1-2D. PhillipsG
Player 163055D
C. DramehD
P. NgD
C. NelsonD
T. DoyleM
R. WintleM
W. VaulksM
R. ColwillM
Max WattersF
J. HugillF
Cardiff 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 2022-04-26T18:45:00.000Z 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.