SPX Quant Engine · Match Research Note · #1347263
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Match Analysis
Timeline, stats, lineups, player ratings and AI insights — live during the match.
SPX xG
ⓘLineup Analysis
Zambia
4-2-3-1Player 587377G
Player 417889D
Player 283153D
Player 122500D
Player 571909
Joseph LitetaM
B. SakalaM
K. KangwaM
M. ChaiwaM
L. MusondaM
P. DakaF
Morocco
4-2-3-1Y. BounouG
N. MazraouiD
A. MasinaD
N. AguerdD
Player 194572D
A. OunahiM
Neil El AynaouiM
A. EzzalzouliM
I. SaibariM
Brahim DíazM
A. El KaabiF
Morocco 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.