Femar vs Picuiense Statistics & Analysis

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Femar

Sep 16, 2026 - 18:00

1 1.43

3 1.17

xG Accuracy: 54%

Picuiense

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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 Under 2.5 Over 2.5 (4 goals) ✖ Incorrect
Both Teams To Score BTTS Yes Yes ✔ Correct
1X2 Femar Picuiense ✖ Incorrect
Correct Score Insights 1-1, 1-0, 2-1, 0-1, 2-0 1-3 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Sep 10, 2026 · 15:56 UTC Snapshot ID: dp-7927428

Closing Odds Pending

AI Fair Odds —

CLV Pending

Final Result Picuiense win · Femar 1–3 Picuiense

Prediction ✖ Missed

Decision Grade F

Model Performance

This prediction contributes to:

Primary Bets ROI (180d): -100.0%

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

League: Paraibano 2
Fixture: Femar vs Picuiense
Kickoff: 2026-09-16 18:00:00
1X2 (model): Home 41.4% · Draw 29.4% · Away 29.3%
xG (showing): Femar 1.43 — Picuiense 1.17 (total xG ≈ 2.6)
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 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 54.1% · No 45.9%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
BTTS (model): Yes 54.1% · No 45.9%
Correct score (top bin): 1-1 (12.4%)

The decision block shows no default Primary: Primary needs consensus EV ≥ +5.0% plus strength/reliability/calibration gates. A separate Lean/tracked gate is +2.0% (selective only). Lean labels are directional only — not bankroll-sized recommendations.

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 28, 2026 (UTC)

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