Ireland Premier Division Ireland

Athlone Town AFC 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 No market yet

Team comparison: corner stats

ATH Athlone Town AFC
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

Other markets for this match

OVER 8.5 corners

60% · odds 1.63

OVER 2.5 goals

56% · odds 1.80

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OVER 9.5 corners

54% · odds 2.05

Both teams to score — Yes

52% · odds 1.60

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OVER 10.5 corners

48% · odds 2.72

OVER 11.5 corners

42% · odds 3.84

OVER 3.5 goals

38% · odds 2.96

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Other Ireland Premier Division fixtures

The match at a glance

  • Match: Athlone Town AFC vs UC Dublin
  • Competition: Ireland Premier Division
  • Date and kickoff: Friday 31 July 2026, 18:45
  • Model pick: Over 7.5 corners at n/a, 66% confidence, 9.4 corners projected
  • Athlone Town AFC 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 Athlone Town AFC 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 time does Athlone Town AFC vs UC Dublin kick off?
Kickoff is 14:45 ET on Friday 31 July 2026. That is 19:45 in the United Kingdom and 20:45 in central Europe.
Which team produces more corners, Athlone Town AFC or UC Dublin?
Across the last 5 matches, Athlone Town AFC produces 4.7 corners per game. UC Dublin produces 4.7 corners across the last 5 fixtures. For corners conceded, Athlone Town AFC 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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