MathPredictions

World Club Friendlies

Caykur Rizespor vs Abha Prediction

Kickoff (UTC):

Predicted score 2-0
Expected goals2.30 – 0.96
Avg goals3.26
Our pickHome
Caykur Rizespor 67% Draw 20% Abha 13%

Markets

MarketLineOur pickProbabilityFair oddsOdds
Match result (1X2) Home 67% 1.50 1.33
Double chance Home or draw 87% 1.15 1.03
Goals 3 Over 53% 1.90 1.90
Both teams to score Yes 56% 1.78
Asian handicap -1.25 Home 50% 2.00 1.93
Corners 8 Over +7% Value 58% 1.71 1.85
Correct score 2-0 +318% Value 10% 9.81 41.00

Bookmaker odds

Match result (1X2) Home 1.33  ·  Draw 4.50  ·  Away 6.50
Goals 3 Over 1.90  ·  Under 1.90
Asian handicap -1.25 Home 1.93  ·  Away 1.88
Corners 8 Over 1.85  ·  Under 1.95

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

Corner forecast

8.6 Expected corners
Corner line 8.00
Over 58% Under 42%

Match trends

Caykur Rizespor — last 10 matches

DateH/AOpponentScoreCorners
2026-07-29 H L Hull 1–2 3–1
2026-07-26 A W NK Osijek 3–1 3–2
2026-05-16 H D Besiktas 2–2 8–3
2026-05-10 A L Eyupspor 0–4 6–3
2026-05-01 H W Konyaspor 3–2 1–2
2026-04-25 A L Kayserispor 0–2 6–8
2026-04-18 A D Fenerbahce 2–2 3–7
2026-04-14 H W Gaziantep FK 2–1 9–1
2026-04-10 H W Samsunspor 4–1 5–11
2026-04-05 A L Fatih Karagumruk 1–2 3–0

Abha — last 10 matches

DateH/AOpponentScoreCorners
2026-05-13 A L Al Raed 1–5 4–5
2026-05-10 H L Al Adalh 0–1 10–1
2026-05-02 A L Al Draih 0–2 4–11
2026-04-27 H W Al Batin 3–1 3–8
2026-04-22 A W Al Taee 2–1 1–4
2026-04-15 H W Jeddah Club 1–0 12–2
2026-04-10 A W Al-Ula 2–1 3–10
2026-04-04 A W Al-Bukayriyah FC 2–1 1–1
2026-03-27 H W Al Jubail Club 2–0 7–3
2026-03-02 A D Al Jandal 1–1 8–0

Match questions

Who is predicted to win Caykur Rizespor vs Abha?
Our model gives Caykur Rizespor a 67% chance, the draw 20% and Abha 13%. The most likely score is 2-0.
How many corners are expected in Caykur Rizespor vs Abha?
The corner model projects 8.6 total corners. Over 8.00 corners is rated at 58% 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.