Olympic vs Saku Sporting Statistics & Analysis

Olympic

Aug 19, 2026 - 16:00

0 1.20

7 1.40

xG Accuracy: 15%

Saku Sporting

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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 (7 goals) ✖ Incorrect
Both Teams To Score BTTS Yes No ✖ Incorrect
1X2 Saku Sporting Saku Sporting ✔ Correct
Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 0-7 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Aug 13, 2026 · 01:57 UTC Snapshot ID: dp-3819373

Closing Odds Pending

AI Fair Odds —

CLV Pending

Final Result Saku Sporting win · Olympic 0–7 Saku Sporting

Prediction ✔ Correct

Decision Grade F

Model Performance

This prediction contributes to:

Primary Bets ROI (180d): -100.0%

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

League: Cup
Fixture: Olympic vs Saku Sporting
Kickoff: 2026-08-19 16:00:00
1X2 (model): Home 30.6% · Draw 29.5% · Away 40.0%
xG (showing): Olympic 1.2 — Saku Sporting 1.4 (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 54.3% · No 45.7%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
BTTS (model): Yes 54.3% · No 45.7%
Correct score (top bin): 1-1 (12.5%)

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.

Prefer skipping to over-staking when the engine is honest about missing edge.

Historical Recommendation

Historical Decision: No Primary Bet

Outcome: Validated — Pre-match lean validated against 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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