1st Division Denmark

Leiknir vs Volsungur Corner Prediction

Updated

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OVER 7.5 corners

Model projects 9.6 total corners (line 7.5, edge +2.1). Home team averages 5.0 corners for, away averages 4.5. League baseline: 10.0. Lean: OVER.

Confidence 67%
Fair odds 1.35
Best odds n/a
Value n/a

Team comparison: corner stats

LEI Leiknir
VS
Volsungur VOL
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
1.4
Avg goals for
1.4
52%
Over 2.5 goals Percentage
52%
Leader in row Follower

Alternative corner markets

OVER 8.5 corners

61% · odds 1.58

OVER 2.5 corners

59% · odds 1.37

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YES 0 corners

55% · odds 1.44

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OVER 9.5 corners

55% · odds 1.96

OVER 10.5 corners

49% · odds 2.58

OVER 11.5 corners

43% · odds 3.61

OVER 3.5 corners

41% · odds 1.97

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Other 1st Division fixtures

The match at a glance

  • Match: Leiknir vs Volsungur
  • Competition: 1st Division
  • Date and kickoff: Saturday 4 July 2026, 16:00
  • Model pick: Over 7.5 corners at n/a, 67% confidence, 9.6 corners projected
  • Leiknir average: 4.8 corners for, 4.8 against per match
  • Volsungur average: 4.8 corners for, 4.8 against per match

Frequently asked questions

What does the model say about corners in Leiknir vs Volsungur?
The corneredge.bet model picks over 7.5 corners at 67% confidence. The predicted total across the match is 9.6 corners.
What time does Leiknir vs Volsungur kick off?
Kickoff is 12:00 ET on Saturday 4 July 2026. That is 17:00 in the United Kingdom and 18:00 in central Europe.
Which team produces more corners, Leiknir or Volsungur?
Across the last 5 matches, Leiknir produces 4.8 corners per game. Volsungur produces 4.8 corners across the last 5 fixtures. For corners conceded, Leiknir sits at 4.8 per match against 4.8 for Volsungur. 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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