MathPredictions

Denmark Superligaen

Silkeborg IF vs Odense BK Prediction

Kickoff (UTC):

Predicted score 1-111%1-29%2-18%
Expected goals1.54 – 1.72
Avg goals3.26
Our pickAway
Silkeborg IF 34% Draw 24% Odense BK 42%

Markets

MarketLineOur pickProbabilityFair oddsOdds
Match result (1X2) Away 42% 2.40 2.55
Double chance Home or away 76% 1.31 1.26
Goals 3 Over 53% 1.90 1.80
Both teams to score Yes 65% 1.54 1.44
Asian handicap 0 Away 55% 1.83 1.90
Corners 10.5 Under 50% 1.99 1.85
Correct score 1-1 11% 9.45 7.50

Bookmaker odds

Match result (1X2) Home 2.50  ·  Draw 3.60  ·  Away 2.55
Goals 3 Over 1.80  ·  Under 2.00
Asian handicap 0 Home 1.90  ·  Away 1.90
Corners 10.5 Over 1.95  ·  Under 1.85

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

Corner forecast

5.2 Silkeborg IF
10.5 Expected corners
5.3 Odense BK
Corner line 10.50
Over 50% Under 50%

Match trends

Silkeborg IF — last 10 matches

DateH/AOpponentScoreCorners
2026-08-03 H L FC Copenhagen 1–3 7–4
2026-07-28 A D Randers FC 1–1 7–5
2026-07-17 A W AaB 2–1 1–2
2026-07-11 H W Thisted FC 6–0 7–1
2026-07-08 A L Aarhus Fremad 0–1 2–2
2026-07-04 A L Midtjylland 2–4 4–9
2026-05-17 A L FC Fredericia 1–4 6–4
2026-05-10 H L FC Copenhagen 0–4 2–5
2026-05-03 A W Odense BK 3–2 3–8
2026-04-26 H W Randers FC 2–0 3–5

Odense BK — last 10 matches

DateH/AOpponentScoreCorners
2026-08-04 H W Sonderjyske 1–0 7–9
2026-07-25 A L Viborg 0–1 10–7
2026-07-11 A L Brondby 0–4 0–7
2026-07-04 H W Hillerød 2–0 5–4
2026-06-29 H W Kolding IF 2–1 6–3
2026-05-17 H L Vejle 0–1 8–4
2026-05-12 A D Randers FC 2–2 3–8
2026-05-03 H L Silkeborg IF 2–3 8–3
2026-04-26 A W FC Fredericia 2–0 3–4
2026-04-23 A L FC Copenhagen 1–2 11–6

Match questions

Who is predicted to win Silkeborg IF vs Odense BK?
Our model gives Silkeborg IF a 34% chance, the draw 24% and Odense BK 42%. The most likely score is 1-1.
How many corners are expected in Silkeborg IF vs Odense BK?
The corner model projects 10.5 total corners. Over 10.50 corners is rated at 50% 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.