SPX Quant Engine · Match Research Note · #1289647
◆ 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
Ajax Cape Town
Player 46480
Player 46485
Player 128179
Player 134232
Player 270504
Player 344075
Player 46253
Player 205627
Player 485865
Player 205918
Player 380452
University of Pretoria
Player 457586
Player 205591
Player 407090
Player 98935
Player 304755
Player 205500
Player 296040
Player 437047
Player 441419
Player 206045
Player 378801
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.