1st Division Denmark

Vestri vs Leiknir Corner Prediction

Updated

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OVER 7.5 corners

Model projects 9.8 total corners (line 7.5, edge +2.3). Home team averages 5.0 corners for, away averages 4.5. League baseline: 10.0. Lean: OVER.

Confidence 54%
Fair odds 1.32
Best odds n/a
Value No market yet

Team comparison: corner stats

VES Vestri
VS
Leiknir LEI
4.8
Corners for, per match
4.8
4.8
Corners against Lower is better
4.8
9.5
Total match corners
9.5
4.3
First half corners
4.3
1.1
Avg goals for
1.4
48%
Over 2.5 goals Percentage
52%
Leader in row Follower

Other markets for this match

OVER 8.5 corners

48% · odds 1.52

OVER 2.5 goals

47% · odds 1.52

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Both teams to score — Yes

46% · odds 1.47

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OVER 9.5 corners

42% · odds 1.87

OVER 10.5 corners

36% · odds 2.43

OVER 11.5 corners

30% · odds 3.35

OVER 3.5 goals

29% · odds 2.31

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Other 1st Division fixtures

The match at a glance

  • Match: Vestri vs Leiknir
  • Competition: 1st Division
  • Date and kickoff: Saturday 22 August 2026, 15:00
  • Model pick: Over 7.5 corners at n/a, 54% confidence, 9.8 corners projected
  • Vestri average: 4.8 corners for, 4.8 against per match
  • Leiknir average: 4.8 corners for, 4.8 against per match

Frequently asked questions

How many corners does the model expect in Vestri vs Leiknir?
The corneredge.bet model picks over 7.5 corners at 54% confidence. The predicted total across the match is 9.8 corners.
What time does Vestri vs Leiknir kick off?
Kickoff is 11:00 ET on Saturday 22 August 2026. That is 16:00 in the United Kingdom and 17:00 in central Europe.
What are the corner averages for Vestri and Leiknir?
Across the last 2 matches, Vestri produces 4.8 corners per game. Leiknir produces 4.8 corners across the last 5 fixtures. For corners conceded, Vestri sits at 4.8 per match against 4.8 for Leiknir. The two sides are close on corner output.
Page last updated: . Predictions, odds and team stats refresh automatically. Sources: Fixture data and team statistics from API-Football. Odds from the sportsbooks we track. Methodology: see how the model works.
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