Denmark Superliga denmark

Silkeborg IF vs FC Midtjylland Corner Prediction

Updated

Kickoff: · Jysk Park

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Team comparison: corner stats

SIL Silkeborg IF
VS
FC Midtjylland FC
4.0
Corners for, per match
5.9
5.1
Corners against Lower is better
3.9
9.1
Total match corners
9.8
4.5
First half corners
4.6
1.7
Avg goals for
1.4
80%
Over 2.5 goals Percentage
60%
Leader in row Follower

Head to head: last 2 meetings

2

Total meetings

11.0

Avg corners

0 / 0 / 2

Home / Draw / Away

  • 22 Feb 2026 Silkeborg IF 0-4 FC Midtjylland · Denmark Superliga 0-4 12 corners
  • 24 Aug 2025 FC Midtjylland 4-2 Silkeborg IF · Denmark Superliga 4-2 10 corners

Other Denmark Superliga fixtures

The match at a glance

  • Match: Silkeborg IF vs FC Midtjylland
  • Competition: Denmark Superliga
  • Date and kickoff: Sunday 30 August 2026, 12:00
  • Venue: Jysk Park
  • Silkeborg IF average: 4.0 corners for, 5.1 against per match
  • FC Midtjylland average: 5.9 corners for, 3.9 against per match
  • Head to head: 2 meetings, Silkeborg IF won 0, FC Midtjylland won 2, drew 0, averaging 11.0 corners per match

Frequently asked questions

When is Silkeborg IF vs FC Midtjylland played?
Kickoff is 08:00 ET on Sunday 30 August 2026. That is 13:00 in the United Kingdom and 14:00 in central Europe.
Which stadium hosts Silkeborg IF vs FC Midtjylland?
The match is played at Jysk Park in denmark. The fixture is part of the Denmark Superliga.
Which team produces more corners, Silkeborg IF or FC Midtjylland?
Across the last 10 matches, Silkeborg IF produces 4.0 corners per game. FC Midtjylland produces 5.9 corners across the last 10 fixtures. For corners conceded, Silkeborg IF sits at 5.1 per match against 3.9 for FC Midtjylland. The corner battle tilts toward FC Midtjylland.
What is the head to head record between Silkeborg IF and FC Midtjylland?
The two sides have met 4 times. Silkeborg IF won 0, FC Midtjylland won 2, drew 2. The fixtures averaged 11.0 corners between the two sides.
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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