Ireland Premier Division Ireland

Drogheda United vs Dundalk Corner Prediction

Updated

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OVER 7.5 corners

Model projects 10.3 total corners (line 7.5, edge +2.8). Home team averages 4.4 corners for, away averages 5.6. League baseline: 10.0. Lean: OVER.

Confidence 75%
Fair odds 1.25
Best odds n/a
Value No market yet

Team comparison: corner stats

DRO Drogheda United
VS
Dundalk DUN
4.0
Corners for, per match
6.0
5.9
Corners against Lower is better
4.8
9.9
Total match corners
10.8
4.6
First half corners
5.0
1.2
Avg goals for
1.6
52%
Over 2.5 goals Percentage
61%
Leader in row Follower

Other markets for this match

OVER 8.5 corners

69% · odds 1.41

OVER 2.5 goals

66% · odds 1.73

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OVER 9.5 corners

63% · odds 1.67

Both teams to score — Yes

58% · odds 1.58

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OVER 10.5 corners

57% · odds 2.11

OVER 11.5 corners

51% · odds 2.82

OVER 3.5 goals

48% · odds 2.80

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Other Ireland Premier Division fixtures

The match at a glance

  • Match: Drogheda United vs Dundalk
  • Competition: Ireland Premier Division
  • Date and kickoff: Friday 28 August 2026, 19:00
  • Model pick: Over 7.5 corners at n/a, 75% confidence, 10.3 corners projected
  • Drogheda United average: 4.0 corners for, 5.9 against per match
  • Dundalk average: 6.0 corners for, 4.8 against per match

Frequently asked questions

How many corners does the model expect in Drogheda United vs Dundalk?
The corneredge.bet model picks over 7.5 corners at 75% confidence. The predicted total across the match is 10.3 corners.
What time does Drogheda United vs Dundalk kick off?
Kickoff is 15:00 ET on Friday 28 August 2026. That is 20:00 in the United Kingdom and 21:00 in central Europe.
Which team produces more corners, Drogheda United or Dundalk?
Across the last 23 matches, Drogheda United produces 4.0 corners per game. Dundalk produces 6.0 corners across the last 23 fixtures. For corners conceded, Drogheda United sits at 5.9 per match against 4.8 for Dundalk. The corner battle tilts toward Dundalk.
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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