MathPredictions

Denmark Division 1

Hvidovre IF vs Esbjerg Prediction

Kickoff (UTC):

Predicted score 1-112%2-18%1-08%
Expected goals1.42 – 1.37
Avg goals2.79
Our pickHome
Hvidovre IF 38% Draw 26% Esbjerg 36%

Markets

MarketLineOur pickProbabilityFair oddsOdds
Match result (1X2) Home 38% 2.64 2.40
Double chance Home or away 74% 1.36 1.28
Goals 2.75 Under 53% 1.88 1.85
Both teams to score Yes 57% 1.75 1.57
Asian handicap 0 Home 51% 1.94 1.78
Corners 9.5 Over 64% 1.55 1.98
Correct score 1-1 12% 8.05 6.50

Bookmaker odds

Match result (1X2) Home 2.40  ·  Draw 3.40  ·  Away 2.75
Goals 2.75 Over 1.95  ·  Under 1.85
Asian handicap 0 Home 1.78  ·  Away 2.03
Corners 10.5 Over 1.98  ·  Under 1.83

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

Corner forecast

5.5 Hvidovre IF
10.9 Expected corners
5.3 Esbjerg
Corner line 9.50
Over 64% Under 36%

Match trends

Hvidovre IF — last 10 matches

DateH/AOpponentScoreCorners
2026-08-07 A L Naestved IF 0–1 4–1
2026-08-01 A W Kolding IF 1–0 4–9
2026-07-25 H D Vendsyssel FF 2–2 5–8
2026-07-18 H D Vejle 1–1 3–6
2026-07-11 A D Hansa Rostock 2–2 5–2
2026-07-07 H W Fremad Amager 3–2 7–2
2026-07-03 H W HB Køge 1–0 8–3
2026-06-28 A L Brondby 1–8 5–5
2026-05-31 A L Hillerød 1–2 10–3
2026-05-25 H L Esbjerg 1–4 3–6

Esbjerg — last 10 matches

DateH/AOpponentScoreCorners
2026-08-01 A W Hillerød 3–2 2–10
2026-07-25 H D Kolding IF 1–1 5–5
2026-07-18 H L FC Fredericia 0–1 7–4
2026-07-11 H L CD Mafra 0–2 2–5
2026-06-27 H D Vejle 3–3 2–9
2026-05-31 H W Lyngby 2–1 6–10
2026-05-25 A W Hvidovre IF 4–1 6–3
2026-05-16 A D Hillerød 1–1 10–2
2026-05-10 H W Kolding IF 3–0 4–2
2026-05-01 H L AC Horsens 0–1 9–3

Match questions

Who is predicted to win Hvidovre IF vs Esbjerg?
Our model gives Hvidovre IF a 38% chance, the draw 26% and Esbjerg 36%. The most likely score is 1-1.
How many corners are expected in Hvidovre IF vs Esbjerg?
The corner model projects 10.9 total corners. Over 9.50 corners is rated at 64% 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.