Hungary NB I Hungary

MTK Budapest FC vs Puskas Academy Corner Prediction

Updated

Kickoff:

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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

MTK MTK Budapest FC
VS
Puskas Academy PUS
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 1.56

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OVER 2.5 goals

49% · odds 1.64

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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 2.60

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The match at a glance

  • Match: MTK Budapest FC vs Puskas Academy
  • Competition: Hungary NB I
  • Date and kickoff: Friday 7 August 2026, 15:30
  • Model pick: Over 7.5 corners at n/a, 60% confidence, 10.0 corners projected
  • MTK Budapest FC average: 5.0 corners for, 5.0 against per match
  • Puskas Academy average: 5.0 corners for, 5.0 against per match

Frequently asked questions

What does the model say about corners in MTK Budapest FC vs Puskas Academy?
The corneredge.bet model picks over 7.5 corners at 60% confidence. The predicted total across the match is 10.0 corners.
What is the kickoff time for MTK Budapest FC vs Puskas Academy?
Kickoff is 11:30 ET on Friday 7 August 2026. That is 16:30 in the United Kingdom and 17:30 in central Europe.
Which team produces more corners, MTK Budapest FC or Puskas Academy?
Across the last 5 matches, MTK Budapest FC produces 5.0 corners per game. Puskas Academy produces 5.0 corners across the last 5 fixtures. For corners conceded, MTK Budapest FC sits at 5.0 per match against 5.0 for Puskas Academy. 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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