SPX Quant Engine · Match Research Note · #924648
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Match Analysis
Timeline, stats, lineups, player ratings and AI insights — live during the match.
SPX xG
ⓘLineup Analysis
Brisbane Roar
4-1-4-1J. HolmesG
N. SmithD
T. AldredD
S. NevilleD
J. HingertD
K. TrewinM
Player 68033M
J. O'SheaM
Player 266172M
H. HoreM
S. ŠćepovićF
Newcastle Jets
4-4-2Player 67572G
D. InghamD
Player 2745D
C. JenkinsonD
T. AquilinaD
M. SaitōM
B. O'NeillM
A. ThurgateM
K. GrozosM
R. PiscopoF
Player 6839F
Brisbane Roar 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 2023-04-07T07:00:00.000Z 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.