SPX Quant Engine · Match Research Note · #1485007


◆ 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
South Africa
4-2-3-1Player 3275G
S. KabiniD
Player 510799D
Player 46458D
Player 46601D
Player 3287M
Y. SitholeM
Player 179893M
Player 46344M
Player 295977M
L. FosterF
Zambia
4-1-4-1Player 123655G
Player 341126D
Player 122500D
B. SakalaD
Player 408556D
M. ChaiwaM
F. SakalaM
Player 524579M
L. MusondaM
P. DakaF
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.