SPX Quant Engine · Match Research Note · #1543211


◆ SPX Quant Forecast
Outcome Probabilities
Confidence 4 out of 5 confidenceHome
Deportivo La Guaira
60%
Draw
Draw
24%
Away
Puerto Cabello
16%
Model call: Deportivo La Guaira
Probability Evolution
How model confidence shifts across the 8-stage match lifecycle
Deportivo La Guaira
0
Puerto Cabello
2
Model called (T−24h)
Deportivo La Guaira (60%)
Actually happened
Puerto Cabello (16%)
Verdict graded against the T-24h locked probability. Click the stage tabs above to compare how the probability evolved.
Match Analysis
Timeline, stats, lineups, player ratings and AI insights — live during the match.
SPX xG
ⓘLineup Analysis
Deportivo La Guaira
Player 565541
Player 565385
G. Ortiz
M. Gianoli
Player 52967
J. Castellanos
Player 329535
Player 565434
Player 52463
Player 6594
F. Londoño
Puerto Cabello
J. Graterol
Player 52707
G. Meléndez
Player 378312
R. Rosales
Player 52443
J. Moreno
Player 52588
R. Flores
A. Ponce
Player 146661
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.
Lineup Absence Impact
Key absentees and how unbalanced the missing-star count is between sides.
Roster impact: roughly even
Deportivo La Guaira · key absences
No notable absences reported
Puerto Cabello · key absences
No notable absences reported
Beyond Match Outcome
Forward-looking analytics on corners and cards — beyond the 1X2 result market.
Corners
Expected totalSPX commitment — no bookmaker odds shown
Cards
Expected totalSPX commitment — no bookmaker odds shown
Shot Creation Profile
Not enough recent-match history to build a shot-creation profile for these teams yet.
SPX Quant Engine
Shot Quality
Shot quality data unavailable for this fixture
SPX Quant Engine
Pass Network
Pass network data unavailable for this fixture
SPX Quant Engine
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.