SPX Quant Engine · Match Research Note · #1155164
◆ 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
Al-Nahda
4-2-3-1Player 140956G
Ahmed KaabiD
Player 435027D
Player 440940D
Player 145710D
Player 435015M
Player 53789M
Player 53792M
I. GuiM
Player 4695M
W. BwalyaF
Al Riffa
4-4-2Player 300204G
Player 123305D
Player 66193D
Player 53867D
Player 53866D
Player 169136M
Player 53883M
Player 53873M
Player 49441M
Player 78179F
Player 53878F
Al-Nahda named a modestly 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 2024-02-18T16:00:00.000Z 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.