SPX Quant Engine · Match Research Note · #1280731


◆ 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
Brisbane Roar
4-4-2Player 6999G
A. Burke-GilroyD
L. HerringtonD
Waleed ShourD
J. HingertD
Jacob BrazeteM
J. O'SheaM
Player 288792M
B. HalloranM
K. JelacicF
A. ZimarinoF
Newcastle Jets
4-4-2Player 67656G
D. WilmeringD
Player 278518D
K. GrozosD
P. CancarD
C. TaylorM
Player 405957M
C. TimminsM
T. AquilinaM
B. GibsonF
E. AdamsF
Newcastle Jets 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 2025-01-06T09:00:00.000Z 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.