Hungary NB I Hungary

Paksi FC vs Ujpest FC Corner Prediction

Updated

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OVER 7.5 corners

Model projects 10.0 total corners (line 7.5, edge +2.5). Home team averages 5.0 corners for, away averages 5.0. League baseline: 10.0. Lean: OVER.

Confidence 60%
Fair odds 1.29
Best odds n/a
Value No market yet

Team comparison: corner stats

PAK Paksi FC
VS
Ujpest FC UJP
5.0
Corners for, per match
5.0
5.0
Corners against Lower is better
5.0
10.0
Total match corners
10.0
4.5
First half corners
4.5
1.4
Avg goals for
1.4
51%
Over 2.5 goals Percentage
51%
Leader in row Follower

Other markets for this match

OVER 8.5 corners

54% · odds 1.47

Both teams to score — Yes

49% · odds 1.54

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OVER 2.5 goals

49% · odds 1.48

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OVER 9.5 corners

48% · odds 1.78

OVER 10.5 corners

42% · odds 2.28

OVER 11.5 corners

36% · odds 3.12

OVER 3.5 goals

31% · odds 2.22

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Other Hungary NB I fixtures

The match at a glance

  • Match: Paksi FC vs Ujpest FC
  • Competition: Hungary NB I
  • Date and kickoff: Friday 21 August 2026, 15:30
  • Model pick: Over 7.5 corners at n/a, 60% confidence, 10.0 corners projected
  • Paksi FC average: 5.0 corners for, 5.0 against per match
  • Ujpest FC average: 5.0 corners for, 5.0 against per match

Frequently asked questions

What is the corner prediction for Paksi FC vs Ujpest FC?
The corneredge.bet model picks over 7.5 corners at 60% confidence. The predicted total across the match is 10.0 corners.
When is Paksi FC vs Ujpest FC played?
Kickoff is 11:30 ET on Friday 21 August 2026. That is 16:30 in the United Kingdom and 17:30 in central Europe.
What are the corner averages for Paksi FC and Ujpest FC?
Across the last 5 matches, Paksi FC produces 5.0 corners per game. Ujpest FC produces 5.0 corners across the last 5 fixtures. For corners conceded, Paksi FC sits at 5.0 per match against 5.0 for Ujpest FC. 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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