SPX Quant Engine · Match Research Note · #114862
◆ 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
San Martin Tucuman
4-4-1-1Player 6668G
H. PetrykD
Player 6676D
L. AcevedoD
O. PazD
Player 6683
Player 6687M
R. GómezM
Player 6677D
N. DelgadilloF
L. González
San Lorenzo
4-1-4-1S. TorricoG
G. FerrariD
G. RojasD
G. PeruzziD
Player 6607D
A. RojasM
N. BarriosM
G. TorresF
G. PobleteM
R. BottaM
A. RenteríaF
Both sides named an XI close to their 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 2019-04-05T00:10:00.000Z 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.