MathPredictions

Kuwait Division 1

Al Sahel SC vs Burgan SC Prediction

Kickoff (UTC):

Predicted score 1-1
Expected goals1.45 – 0.91
Avg goals2.37
Our pickHome
Al Sahel SC 48% Draw 29% Burgan SC 22%

Markets

MarketLineOur pickProbabilityFair oddsOdds
Match result (1X2) Home 48% 2.07 1.80
Double chance Home or draw 78% 1.29 1.18
Goals 2.25 Under 51% 1.96 2.03
Both teams to score No 53% 1.89
Asian handicap -0.5 Away 52% 1.94 1.98
Corners 9.5 Under 62% 1.61
Correct score 1-1 14% 7.30 7.00

Bookmaker odds

Match result (1X2) Home 1.80  ·  Draw 3.40  ·  Away 3.80
Goals 2.25 Over 1.78  ·  Under 2.03
Asian handicap -0.5 Home 1.83  ·  Away 1.98

Latest pre-match prices from the odds feed, refreshed hourly until 30 minutes before kickoff.

Corner forecast

4.2 Al Sahel SC
8.3 Expected corners
4.1 Burgan SC
Corner line 9.50
Over 38% Under 62%

Match trends

Al Sahel SC — last 10 matches

DateH/AOpponentScoreCorners
2026-07-30 H D Khaitan 1–1 2–8
2026-07-26 A W Yarmouk 1–0 1–3
2026-02-22 H L Al Salibikhaet SC 1–4 5–4
2026-02-16 A L Al Arabi SC 0–2 1–5
2026-02-05 H L Al-Jazeera KWT 1–3 9–1
2026-01-22 A W Al Shamiya FC 4–0 3–5
2026-01-16 H W Sporty FC 2–1 10–1
2026-01-04 A D Al Naser SC 0–0 9–4
2025-12-31 A W Burgan SC 2–1 6–4
2025-12-22 A W Khaitan 2–0 1–4

Burgan SC — last 10 matches

DateH/AOpponentScoreCorners
2026-07-30 H L Al-Jazeera KWT 0–2 3–6
2026-07-26 H L Sporty FC 0–1 3–1
2026-02-28 A L Al Qadsia SC 0–2 1–11
2026-02-22 A D Al Shamiya FC 2–2 13–3
2026-02-04 H D Khaitan 1–1 2–5
2026-01-22 H L Yarmouk 0–1 6–6
2026-01-16 A L Al Salibikhaet SC 1–3 5–7
2026-01-10 A L Al Kuwait SC 0–3 0–8
2026-01-06 H W Al Jahra 2–0 1–2
2025-12-31 H L Al Sahel SC 1–2 4–6

Match questions

Who is predicted to win Al Sahel SC vs Burgan SC?
Our model gives Al Sahel SC a 48% chance, the draw 29% and Burgan SC 22%. The most likely score is 1-1.
How many corners are expected in Al Sahel SC vs Burgan SC?
The corner model projects 8.3 total corners. Over 9.50 corners is rated at 38% probability.
How are these predictions calculated?
Predictions come from a statistical model fitted on multi-season match results: team attack/defense ratings with time decay, blended with current market lines. No human tipsters are involved, and every published prediction is settled and counted in our public accuracy record.