SPX Quant Engine · Match Research Note · #1280792
Adelaide United vs Brisbane Roar — Match Report & Forecast Archive
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Player Performance
final match ratingsAdelaide United
Brisbane Roar
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
Adelaide United
4-2-3-1J. DelianovG
R. KittoD
P. KikianisD
B. VriendsD
Player 485819D
J. BarnettM
E. AlagichM
Ben FolamiM
Player 7016M
Z. CloughM
A. GoodwinF
Brisbane Roar
4-3-2-1Player 6843G
Player 288792D
A. LudwikD
Hosine BilityD
A. Burke-GilroyD
K. JelacicM
J. O'SheaM
Samuel KleinM
H. HoreM
N. AmanatidisM
Asumah AbubakarF
Adelaide United 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 2025-03-07T06:00:00.000Z 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.