SPX Quant Engine · Match Research Note · #1361876
◆ 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
LDU de Quito
4-1-4-1G. ValleG
Player 16419D
G. AllalaD
Player 12303D
Player 354009D
C. GruezoM
Alexander Antonio Alvarado CarrielM
Player 6343M
Player 65702M
Bryan Josías Ramírez LeónM
A. ArceF
Deportivo Tachira FC
5-3-2Player 311020G
Carlos Vivas
M. MaidanaD
Player 52735D
Player 565401
R. RosalesD
Player 52588M
Player 6348M
Player 159155M
Player 52513F
L. CanoF
LDU de Quito 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 2025-04-09T02:00:00.000Z 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.