Serie B Italy

Pisa vs Calcio Padova Corner Prediction

Updated

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OVER 7.5 corners

Model projects 9.8 total corners (line 7.5, edge +2.3). Home team averages 5.0 corners for, away averages 4.5. League baseline: 10.0. Lean: OVER.

Confidence 59%
Fair odds 1.32
Best odds n/a
Value No market yet

Team comparison: corner stats

PIS Pisa
VS
Calcio Padova CAL
5.1
Corners for, per match
4.8
5.1
Corners against Lower is better
4.8
10.2
Total match corners
9.5
4.6
First half corners
4.3
1.3
Avg goals for
1.5
50%
Over 2.5 goals Percentage
55%
Leader in row Follower

Other markets for this match

OVER 8.5 corners

53% · odds 1.52

Both teams to score — Yes

51% · odds 1.99

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OVER 2.5 goals

51% · odds 2.10

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OVER 9.5 corners

47% · odds 1.87

OVER 10.5 corners

41% · odds 2.43

OVER 11.5 corners

35% · odds 3.35

OVER 3.5 goals

33% · odds 3.67

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Other Serie B fixtures

The match at a glance

  • Match: Pisa vs Calcio Padova
  • Competition: Serie B
  • Date and kickoff: Sunday 23 August 2026, 17:00
  • Model pick: Over 7.5 corners at n/a, 59% confidence, 9.8 corners projected
  • Pisa average: 5.1 corners for, 5.1 against per match
  • Calcio Padova average: 4.8 corners for, 4.8 against per match

Frequently asked questions

What is the corner prediction for Pisa vs Calcio Padova?
The corneredge.bet model picks over 7.5 corners at 59% confidence. The predicted total across the match is 9.8 corners.
What is the kickoff time for Pisa vs Calcio Padova?
Kickoff is 13:00 ET on Sunday 23 August 2026. That is 18:00 in the United Kingdom and 19:00 in central Europe.
Which team produces more corners, Pisa or Calcio Padova?
Across the last 5 matches, Pisa produces 5.1 corners per game. Calcio Padova produces 4.8 corners across the last 5 fixtures. For corners conceded, Pisa sits at 5.1 per match against 4.8 for Calcio Padova. 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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