Serie B Italy

UC Sampdoria vs Juve Stabia 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 5.0 corners for, away averages 4.8. League baseline: 10.0. Lean: OVER.

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

Team comparison: corner stats

UC UC Sampdoria
VS
Juve Stabia JUV
4.8
Corners for, per match
5.1
4.8
Corners against Lower is better
5.1
9.5
Total match corners
10.2
4.3
First half corners
4.6
1.5
Avg goals for
1.3
55%
Over 2.5 goals Percentage
50%
Leader in row Follower

Other markets for this match

OVER 8.5 corners

62% · odds 1.50

OVER 2.5 goals

59% · odds 2.33

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OVER 9.5 corners

56% · odds 1.83

Both teams to score — Yes

55% · odds 2.05

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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 4.16

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Other Serie B fixtures

Sat 17:00

Virtus Entella vs Cesena
Sun 17:00

Mantova vs Empoli

The match at a glance

  • Match: UC Sampdoria vs Juve Stabia
  • Competition: Serie B
  • Date and kickoff: Saturday 29 August 2026, 17:00
  • Model pick: Over 7.5 corners at n/a, 68% confidence, 9.9 corners projected
  • UC Sampdoria average: 4.8 corners for, 4.8 against per match
  • Juve Stabia average: 5.1 corners for, 5.1 against per match

Frequently asked questions

What is the corner prediction for UC Sampdoria vs Juve Stabia?
The corneredge.bet model picks over 7.5 corners at 68% confidence. The predicted total across the match is 9.9 corners.
When is UC Sampdoria vs Juve Stabia played?
Kickoff is 13:00 ET on Saturday 29 August 2026. That is 18:00 in the United Kingdom and 19:00 in central Europe.
How do UC Sampdoria and Juve Stabia compare on corners?
Across the last 5 matches, UC Sampdoria produces 4.8 corners per game. Juve Stabia produces 5.1 corners across the last 5 fixtures. For corners conceded, UC Sampdoria sits at 4.8 per match against 5.1 for Juve Stabia. 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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