SPX Quant Engine · Match Research Note · #961014
◆ 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
South Africa
4-2-3-1Player 3275G
Player 3289M
Player 46581D
Player 46458D
Player 3279D
Y. SitholeM
Player 46334D
Player 41403F
Mihlali MayambelaF
L. Le RouxM
Player 68000F
Sierra Leone
4-2-3-1Player 291491G
A. BanguraD
Osman KakayD
Player 167857
S. CaulkerD
J. MorsayF
K. QueeM
A. BakayokoF
Kamil ContehM
Player 369923M
A. KargboF
South Africa named a notably 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
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.