Gil Vicente U19 vs Santa Clara U19 Statistics & Analysis

Gil Vicente U19

May 09, 2026 - 10:00

1 1.45

0 1.25

xG Accuracy: 63%

Santa Clara U19

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Tracked markets vs full-time result

Each row compares the pre-match model lean to the full-time result.

Market Prediction Result Outcome
Over / Under 2.5 Over 2.5 Under 2.5 (1 goals) ✖ Incorrect
Both Teams To Score BTTS Yes No ✖ Incorrect
1X2 draw Gil Vicente U19 ✖ Incorrect
Correct Score Insights 1-1, 0-1, 1-2, 1-0, 2-1 1-0 ✔ Correct

Validation Report

Immutable Snapshot

Prediction Time: Jul 23, 2026 · 15:00 UTC Snapshot ID: dp-1464370

Closing Odds Pending

AI Fair Odds —

CLV Pending

Final Result Gil Vicente U19 win · Gil Vicente U19 1–0 Santa Clara U19

Prediction ✖ Missed

Decision Grade F

Model Performance

This prediction contributes to:

Primary Bets ROI (180d): -100.0%

AI match briefing

AI Match Summary

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

League: Júniores U19
Fixture: Gil Vicente U19 vs Santa Clara U19
Kickoff: 2026-05-09 16:00:00
1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
xG (showing): Gil Vicente U19 1.45 — Santa Clara U19 1.25 (total xG ≈ 2.7)
Value headline: None — no positive EV could be estimated on tracked lines at current best prices (missing odds or thin book depth).
Structural leans (not bets): Structural lean (model): O/U 2.5 Over 2.5 (Under 2.5 49.4% · Over 2.5 50.6%); BTTS Yes (Yes 51.3% · No 48.7%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
BTTS (model): Yes 51.3% · No 48.7%
Correct score (top bin): 1-1 (12.2%)

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

Historical Recommendation

Historical Decision: No Primary Bet

Outcome: Missed — Pre-match 1X2 lean did not match the full-time result.

Risk Factors Considered Before Kickoff

Price movement: implied probabilities and EV move with odds.
Sample / data gaps: low-information leagues widen forecast bands.
In-play state: goals and red cards are not modelled here.
Scoreline variance: the most likely scoreline is still usually a low absolute probability outcome (often well below 20%).

Last Updated

September 30, 2026 (UTC)

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