SPX Quant Engine · Match Research Note · #844026
◆ 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
Melbourne City
4-2-3-1T. GloverG
Player 6902D
C. GoodD
Player 6912D
C. JenkinsonD
Connor MetcalfeM
Player 266172M
J. BosM
M. TilioM
A. NabboutM
J. MacLarenF
BG Pathum United
4-4-2Player 49005G
Player 100738D
Player 48907D
Player 60193D
Player 48980D
Player 49125M
Player 49223M
Player 49384M
Player 60222M
Player 49387F
Player 57280F
Both sides named an XI close to their 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 2022-04-26T11:00:00.000Z 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.