Ireland First Division Ireland

UC Dublin vs Wexford Corner Prediction

Updated

Kickoff:

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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

UC UC Dublin
VS
Wexford WEX
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 1.70

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OVER 9.5 corners

54% · odds 2.05

Both teams to score — Yes

52% · odds 1.59

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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 2.73

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The match at a glance

  • Match: UC Dublin vs Wexford
  • Competition: Ireland First Division
  • Date and kickoff: Friday 7 August 2026, 18:45
  • Model pick: Over 7.5 corners at n/a, 66% confidence, 9.4 corners projected
  • UC Dublin average: 4.7 corners for, 4.7 against per match
  • Wexford average: 4.7 corners for, 4.7 against per match

Frequently asked questions

What is the corner prediction for UC Dublin vs Wexford?
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 UC Dublin vs Wexford kick off?
Kickoff is 14:45 ET on Friday 7 August 2026. That is 19:45 in the United Kingdom and 20:45 in central Europe.
What are the corner averages for UC Dublin and Wexford?
Across the last 5 matches, UC Dublin produces 4.7 corners per game. Wexford produces 4.7 corners across the last 5 fixtures. For corners conceded, UC Dublin sits at 4.7 per match against 4.7 for Wexford. 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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