SPX Quant Engine · Match Research Note · #1469710
◆ 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.
Match Analysis
Timeline, stats, lineups, player ratings and AI insights — live during the match.
SPX xG
ⓘLineup Analysis
Sydney
4-2-3-1Harrison Devenish-MearesG
B. GaruccioD
Player 153623D
A. PopovicD
R. GrantD
Paul Michael Junior Okon-EngstlerM
Player 578963M
P. QuispeM
Player 554580M
A. ToureM
A. ArslanF
Auckland
4-4-2M. WoudG
C. ElliotD
J. Girdwood-ReichD
D. HallD
H. SakaiD
L. BrookM
F. GallegosM
Louis VerstraeteM
L. RogersonM
Player 158688F
S. CosgroveF
Sydney 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 2026-04-25T05:00:00.000Z 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.