SPX Quant Engine · Match Research Note · #1280704
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Match Analysis
Timeline, stats, lineups, player ratings and AI insights — live during the match.
SPX xG
ⓘLineup Analysis
Brisbane Roar
4-1-3-2Player 6999G
A. Burke-GilroyD
B. WarlandD
S. NevilleD
J. HingertD
J. O'SheaM
Player 365796M
Player 288792M
K. JelacicM
F. Berenguer-BohrerF
T. WaddinghamF
Melbourne City
4-4-2P. BeachG
A. BehichD
S. SouprayenD
K. TrewinD
N. AtkinsonD
H. PolitidisM
J. JeggoM
S. UgarkovićM
Y. CohenM
A. KuenF
A. SulemaniF
Brisbane Roar named a modestly 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
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