Serie B Italy

Cesena vs UC Sampdoria 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

CES Cesena
VS
UC Sampdoria UC
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 1.79

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OVER 2.5 goals

51% · odds 2.00

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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 3.45

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The match at a glance

  • Match: Cesena vs UC Sampdoria
  • Competition: Serie B
  • Date and kickoff: Sunday 23 August 2026, 19:00
  • Model pick: Over 7.5 corners at n/a, 59% confidence, 9.8 corners projected
  • Cesena average: 5.1 corners for, 5.1 against per match
  • UC Sampdoria average: 4.8 corners for, 4.8 against per match

Frequently asked questions

How many corners does the model expect in Cesena vs UC Sampdoria?
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 Cesena vs UC Sampdoria?
Kickoff is 15:00 ET on Sunday 23 August 2026. That is 20:00 in the United Kingdom and 21:00 in central Europe.
Which team produces more corners, Cesena or UC Sampdoria?
Across the last 5 matches, Cesena produces 5.1 corners per game. UC Sampdoria produces 4.8 corners across the last 5 fixtures. For corners conceded, Cesena sits at 5.1 per match against 4.8 for UC Sampdoria. 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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