Ireland Premier Division Ireland

UC Dublin vs Treaty United 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

UC UC Dublin
VS
Treaty United TRE
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 1.75

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OVER 9.5 corners

54% · odds 2.05

Both teams to score — Yes

52% · odds 1.75

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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 2.85

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Other Ireland Premier Division fixtures

The match at a glance

  • Match: UC Dublin vs Treaty United
  • Competition: Ireland Premier Division
  • Date and kickoff: Monday 3 August 2026, 16:00
  • 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
  • Treaty United average: 4.7 corners for, 4.7 against per match

Frequently asked questions

How many corners does the model expect in UC Dublin vs Treaty United?
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 UC Dublin vs Treaty United?
Kickoff is 12:00 ET on Monday 3 August 2026. That is 17:00 in the United Kingdom and 18:00 in central Europe.
How do UC Dublin and Treaty United compare on corners?
Across the last 5 matches, UC Dublin produces 4.7 corners per game. Treaty United produces 4.7 corners across the last 5 fixtures. For corners conceded, UC Dublin sits at 4.7 per match against 4.7 for Treaty United. 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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