MathPredictions

Norway Division 1

Kongsvinger vs Strommen Prediction

Kickoff (UTC):

Predicted score 2-1
Expected goals2.57 – 1.21
Avg goals3.78
Our pickHome
Kongsvinger 66% Draw 19% Strommen 15%

Markets

MarketLineOur pickProbabilityFair oddsOdds
Match result (1X2) Home 66% 1.52 1.33
Double chance Home or draw 85% 1.18 1.06
Goals 3.5 Over 52% 1.92 1.80
Both teams to score Yes 66% 1.53 1.53
Asian handicap -1.5 Away 54% 1.84 1.90
Corners 10.5 Under 52% 1.94 1.83
Correct score 2-1 +92% Value 9% 10.97 21.00

Bookmaker odds

Match result (1X2) Home 1.33  ·  Draw 5.25  ·  Away 7.00
Goals 3.5 Over 1.80  ·  Under 2.00
Asian handicap -1.5 Home 1.90  ·  Away 1.90
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

5.7 Kongsvinger
10.4 Expected corners
4.7 Strommen
Corner line 10.50
Over 48% Under 52%

Match trends

Kongsvinger — last 10 matches

DateH/AOpponentScoreCorners
2026-07-26 A W Sandnes Ulf 6–1 3–6
2026-07-04 H W Sogndal 5–1 4–10
2026-06-27 A L Haugesund 2–4 6–10
2026-06-21 H D Stromsgodset 4–4 9–6
2026-06-14 A W Hodd 2–1 8–7
2026-05-31 H W Asane 3–1 10–1
2026-05-25 A L Stabaek 0–2 6–7
2026-05-21 H W Odd BK 4–2 4–6
2026-05-16 A W Lyn 1896 3–0 5–2
2026-05-09 A D Ranheim 1–1 8–5

Strommen — last 10 matches

DateH/AOpponentScoreCorners
2026-07-26 H D Odd BK 0–0 5–6
2026-07-04 A L Raufoss 0–1 10–6
2026-06-27 H W Moss 3–2 4–4
2026-06-21 H W Stabaek 1–0 5–8
2026-06-14 A L Sandnes Ulf 0–2 2–7
2026-06-07 A D Ranheim 2–2 4–7
2026-05-31 H L Sogndal 2–3 6–1
2026-05-25 A L Lyn 1896 0–1 4–2
2026-05-21 H L Haugesund 0–7 4–3
2026-05-16 A L Bryne 2–4 2–7

Match questions

Who is predicted to win Kongsvinger vs Strommen?
Our model gives Kongsvinger a 66% chance, the draw 19% and Strommen 15%. The most likely score is 2-1.
How many corners are expected in Kongsvinger vs Strommen?
The corner model projects 10.4 total corners. Over 10.50 corners is rated at 48% 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.