SPX Quant Engine · Match Research Note · #976633
◆ SPX Quant Forecast
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Match Analysis
Timeline, stats, lineups, player ratings and AI insights — live during the match.
SPX xG
ⓘLineup Analysis
Hangzhou Greentown
Player 402810
Player 12768
Player 12476
Lucas Possignolo
Player 80830
Player 12490
Player 133934
Player 137150
Player 312132
Player 368508
Player 368513
Guangzhou R&F
Player 110341
Player 266497
Player 266498
Player 340508
Player 386755
Player 12932
Player 12934
Player 80908
Player 322062
Player 384776
Player 341397
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 2026-06-09T02:36:46.517Z 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.