Serie A Italy

Sassuolo vs Torino Corner Prediction

Updated

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OVER 7.5 corners

Model projects 8.8 total corners (line 7.5, edge +1.3). Home team averages 4.2 corners for, away averages 3.4. League baseline: 10.0. Lean: OVER.

Confidence 66%
Fair odds 1.52
Best odds n/a
Value No market yet

Team comparison: corner stats

SAS Sassuolo
VS
Torino TOR
3.8
Corners for, per match
3.8
4.9
Corners against Lower is better
4.7
8.7
Total match corners
8.5
4.0
First half corners
3.9
1.2
Avg goals for
1.2
55%
Over 2.5 goals Percentage
63%
Leader in row Follower

Other markets for this match

OVER 2.5 goals

62% · odds 1.74

OVER 8.5 corners

60% · odds 1.86

OVER 9.5 corners

54% · odds 2.41

Both teams to score — Yes

54% · odds 1.83

OVER 10.5 corners

48% · odds 3.33

OVER 3.5 goals

44% · odds 4.32

OVER 11.5 corners

42% · odds 4.84

Other Serie A fixtures

The match at a glance

  • Match: Sassuolo vs Torino
  • Competition: Serie A
  • Date and kickoff: Saturday 29 August 2026, 16:30
  • Model pick: Over 7.5 corners at n/a, 66% confidence, 8.8 corners projected
  • Sassuolo average: 3.8 corners for, 4.9 against per match
  • Torino average: 3.8 corners for, 4.7 against per match

Frequently asked questions

What does the model say about corners in Sassuolo vs Torino?
The corneredge.bet model picks over 7.5 corners at 66% confidence. The predicted total across the match is 8.8 corners.
What is the kickoff time for Sassuolo vs Torino?
Kickoff is 12:30 ET on Saturday 29 August 2026. That is 17:30 in the United Kingdom and 18:30 in central Europe.
What are the corner averages for Sassuolo and Torino?
Across the last 38 matches, Sassuolo produces 3.8 corners per game. Torino produces 3.8 corners across the last 38 fixtures. For corners conceded, Sassuolo sits at 4.9 per match against 4.7 for Torino. 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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