Saudi Arabia vs Qatar Statistics & Analysis

Tracked markets vs full-time result

Validation Report

AI match briefing

Model Performance

AI Match Summary

Historical Recommendation

Risk Factors Considered Before Kickoff

Last Updated

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Gulf Cup of Nations — Standings

Saudi Arabia

Oct 03, 2026 - 15:55

0(3) 1.37

0(2) 1.23

xG Accuracy: 49%

Qatar

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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 (0 goals) ✖ Incorrect
Both Teams To Score BTTS Yes No ✖ Incorrect
1X2 Saudi Arabia Draw ✖ Incorrect
Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 0-0 ✖ Incorrect

Immutable Snapshot

Prediction Time: Oct 02, 2026 · 02:12 UTC Snapshot ID: dp-12440521

Closing Odds Pending

AI Fair Odds —

CLV Pending

Final Result Draw · Saudi Arabia 0–0 Qatar

Prediction ✖ Missed

Decision Grade F

This prediction contributes to:

Primary Bets ROI (180d): -100.0%

Quick read on how the model reads this matchup.

League: Gulf Cup of Nations
Fixture: Saudi Arabia vs Qatar
Kickoff: 2026-10-03 15:55:00
1X2 (model): Home 38.5% · Draw 29.6% · Away 31.9%
xG (showing): Saudi Arabia 1.37 — Qatar 1.23 (total xG ≈ 2.6)
Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
Structural leans (not bets): Structural lean (model): O/U 2.5 Over 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 54.4% · No 45.6%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
BTTS (model): Yes 54.4% · No 45.6%
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 Decision: No Primary Bet

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

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%).

October 07, 2026 (UTC)

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Saudi Arabia