MathPredictions

Denmark Division 2

FC Roskilde vs Naestved IF Prediction

Kickoff (UTC):

Predicted score 1-1
Expected goals1.45 – 1.29
Avg goals2.75
Our pickHome
FC Roskilde 40% Draw 28% Naestved IF 32%

Markets

MarketLineOur pickProbabilityFair oddsOdds
Match result (1X2) Home 40% 2.52 2.35
Double chance Home or away 72% 1.39 1.22
Goals 2.5 Over 52% 1.93 1.85
Both teams to score Yes 57% 1.76 1.67
Asian handicap 0 Home +5% Value 55% 1.82 2.03
Corners 8.5 Over 54% 1.84 1.80
Correct score 1-1 13% 7.54 7.00

Bookmaker odds

Match result (1X2) Home 2.35  ·  Draw 3.40  ·  Away 2.55
Goals 2.5 Over 1.85  ·  Under 1.95
Asian handicap -0.25 Home 2.03  ·  Away 1.78
Corners 8.5 Over 1.80  ·  Under 2.00

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

Corner forecast

4.2 FC Roskilde
8.8 Expected corners
4.6 Naestved IF
Corner line 8.50
Over 54% Under 46%

Match trends

FC Roskilde — last 10 matches

DateH/AOpponentScoreCorners
2026-07-25 A D Horsholm-Usserod IK 3–3 4–3
2026-07-18 A D Fremad Amager 2–2 2–4
2026-07-11 A L HB Køge 0–1 2–4
2026-07-08 H D AB 1–1 4–4
2026-06-06 H W HIK 3–2 7–4
2026-05-30 A W Thisted FC 2–1 1–6
2026-05-24 A L Vendsyssel FF 1–3 1–12
2026-05-16 H L Naestved IF 0–1 6–4
2026-05-14 A W AB 2–1 4–9
2026-05-09 A W HIK 2–1 6–1

Naestved IF — last 10 matches

DateH/AOpponentScoreCorners
2026-07-19 H D FC Helsingor 2–2 4–6
2026-06-06 A L Vendsyssel FF 2–4 4–3
2026-05-30 H W AB 4–1 4–3
2026-05-23 H L Thisted FC 0–2 6–5
2026-05-16 A W FC Roskilde 1–0 4–6
2026-05-14 H L HIK 1–2 4–2
2026-05-09 H L Vendsyssel FF 1–3 2–7
2026-05-02 A W HIK 2–1 2–2
2026-04-25 A L AB 0–3 7–4
2026-04-18 H D FC Roskilde 0–0 4–8

Match questions

Who is predicted to win FC Roskilde vs Naestved IF?
Our model gives FC Roskilde a 40% chance, the draw 28% and Naestved IF 32%. The most likely score is 1-1.
How many corners are expected in FC Roskilde vs Naestved IF?
The corner model projects 8.8 total corners. Over 8.50 corners is rated at 54% 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.