Ireland Premier Division Ireland

Longford Town FC vs UC Dublin Corner Prediction

Updated

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OVER 7.5 corners

Model projects 9.4 total corners (line 7.5, edge +1.9). Home team averages 5.0 corners for, away averages 4.3. League baseline: 10.0. Lean: OVER.

Confidence 66%
Fair odds 1.38
Best odds n/a
Value n/a

Team comparison: corner stats

LON Longford Town FC
VS
UC Dublin UC
4.7
Corners for, per match
4.7
4.7
Corners against Lower is better
4.7
9.3
Total match corners
9.3
4.2
First half corners
4.2
1.3
Avg goals for
1.3
50%
Over 2.5 goals Percentage
50%
Leader in row Follower

Alternative corner markets

OVER 8.5 corners

60% · odds 1.63

OVER 2.5 corners

56% · odds 1.75

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OVER 9.5 corners

54% · odds 2.05

YES 0 corners

52% · odds 1.67

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OVER 10.5 corners

48% · odds 2.72

OVER 11.5 corners

42% · odds 3.84

OVER 3.5 corners

38% · odds 2.86

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Other Ireland Premier Division fixtures

The match at a glance

  • Match: Longford Town FC vs UC Dublin
  • Competition: Ireland Premier Division
  • Date and kickoff: Saturday 4 July 2026, 18:30
  • Model pick: Over 7.5 corners at n/a, 66% confidence, 9.4 corners projected
  • Longford Town FC average: 4.7 corners for, 4.7 against per match
  • UC Dublin average: 4.7 corners for, 4.7 against per match

Frequently asked questions

What is the corner prediction for Longford Town FC vs UC Dublin?
The corneredge.bet model picks over 7.5 corners at 66% confidence. The predicted total across the match is 9.4 corners.
What is the kickoff time for Longford Town FC vs UC Dublin?
Kickoff is 14:30 ET on Saturday 4 July 2026. That is 19:30 in the United Kingdom and 20:30 in central Europe.
Which team produces more corners, Longford Town FC or UC Dublin?
Across the last 5 matches, Longford Town FC produces 4.7 corners per game. UC Dublin produces 4.7 corners across the last 5 fixtures. For corners conceded, Longford Town FC sits at 4.7 per match against 4.7 for UC Dublin. 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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