Serie B Italy

Palermo vs UC Sampdoria Corner Prediction

Updated

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OVER 7.5 corners

Model projects 9.9 total corners (line 7.5, edge +2.4). Home team averages 5.4 corners for, away averages 4.5. League baseline: 10.0. Lean: OVER.

Confidence 68%
Fair odds 1.31
Best odds n/a
Value No market yet

Team comparison: corner stats

PAL Palermo
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

62% · odds 1.50

OVER 2.5 goals

59% · odds 1.95

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OVER 9.5 corners

56% · odds 1.83

Both teams to score — Yes

55% · odds 1.84

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OVER 10.5 corners

50% · odds 2.37

OVER 11.5 corners

44% · odds 3.26

OVER 3.5 goals

41% · odds 3.32

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Sun 13:00

Modena vs AS Avellino
Sun 13:00

Virtus Entella vs Vicenza

The match at a glance

  • Match: Palermo vs UC Sampdoria
  • Competition: Serie B
  • Date and kickoff: Monday 7 September 2026, 18:30
  • Model pick: Over 7.5 corners at n/a, 68% confidence, 9.9 corners projected
  • Palermo 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

What does the model say about corners in Palermo vs UC Sampdoria?
The corneredge.bet model picks over 7.5 corners at 68% confidence. The predicted total across the match is 9.9 corners.
What time does Palermo vs UC Sampdoria kick off?
Kickoff is 14:30 ET on Monday 7 September 2026. That is 19:30 in the United Kingdom and 20:30 in central Europe.
What are the corner averages for Palermo and UC Sampdoria?
Across the last 5 matches, Palermo produces 5.1 corners per game. UC Sampdoria produces 4.8 corners across the last 5 fixtures. For corners conceded, Palermo 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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