MathPredictions

Denmark Superligaen

Brondby vs Viborg Prediction

Kickoff (UTC):

Predicted score 1-1
Expected goals1.57 – 1.14
Avg goals2.71
Our pickHome
Brondby 46% Draw 27% Viborg 26%

Markets

MarketLineOur pickProbabilityFair oddsOdds
Match result (1X2) Home 46% 2.16 1.85
Double chance Home or draw 74% 1.36 1.23
Goals 2.75 Under +7% Value 55% 1.81 1.95
Both teams to score Yes 55% 1.82 1.62
Asian handicap -0.5 Away 54% 1.86 1.90
Corners 10 Under 53% 1.90 2.00
Correct score 1-1 13% 7.65 7.50

Bookmaker odds

Match result (1X2) Home 1.85  ·  Draw 3.70  ·  Away 3.70
Goals 2.75 Over 1.85  ·  Under 1.95
Asian handicap -0.5 Home 1.90  ·  Away 1.90
Corners 10 Over 1.80  ·  Under 2.00

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

Corner forecast

5.1 Brondby
9.8 Expected corners
4.7 Viborg
Corner line 10.00
Over 47% Under 53%

Match trends

Brondby — last 10 matches

DateH/AOpponentScoreCorners
2026-07-26 A D AGF Aarhus 1–1 6–10
2026-07-18 A L Hibernian 1–2 4–5
2026-07-11 H W Odense BK 4–0 7–0
2026-06-28 H W Hvidovre IF 8–1 5–5
2026-05-22 H D FC Copenhagen 1–1 7–5
2026-05-18 A W Midtjylland 3–2 1–5
2026-05-11 H L AGF Aarhus 0–2 5–4
2026-05-02 H D FC Nordsjaelland 1–1 5–2
2026-04-26 A L Sonderjyske 0–3 6–4
2026-04-23 A W Viborg 1–0 3–4

Viborg — last 10 matches

DateH/AOpponentScoreCorners
2026-07-25 H W Odense BK 1–0 7–10
2026-07-16 A L FC Copenhagen 1–2 1–8
2026-07-11 H W Notts County 2–0 4–4
2026-07-03 A L AaB 1–3 9–1
2026-06-27 A D AGF Aarhus 1–1 4–13
2026-05-18 A L AGF Aarhus 2–6 2–3
2026-05-09 H L Sonderjyske 0–1 8–0
2026-05-05 A D Midtjylland 3–3 0–8
2026-04-27 H W FC Nordsjaelland 1–0 6–5
2026-04-23 H L Brondby 0–1 4–3

Match questions

Who is predicted to win Brondby vs Viborg?
Our model gives Brondby a 46% chance, the draw 27% and Viborg 26%. The most likely score is 1-1.
How many corners are expected in Brondby vs Viborg?
The corner model projects 9.8 total corners. Over 10.00 corners is rated at 47% 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.