Ligue 2

Stade de Reims vs Annecy Corner Prediction

Updated

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OVER 7.5 corners

Model projects 10.0 total corners (line 7.5, edge +2.5). Home team averages 5.0 corners for, away averages 5.0. League baseline: 10.0. Lean: OVER.

Confidence 60%
Fair odds 1.29
Best odds n/a
Value No market yet

Team comparison: corner stats

STA Stade de Reims
VS
Annecy ANN
5.0
Corners for, per match
5.0
5.0
Corners against Lower is better
5.0
10.0
Total match corners
10.0
4.5
First half corners
4.5
1.4
Avg goals for
1.4
51%
Over 2.5 goals Percentage
51%
Leader in row Follower

Other markets for this match

OVER 8.5 corners

54% · odds 1.47

Both teams to score — Yes

49% · odds 1.80

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OVER 2.5 goals

49% · odds 1.87

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OVER 9.5 corners

48% · odds 1.78

OVER 10.5 corners

42% · odds 2.28

OVER 11.5 corners

36% · odds 3.12

OVER 3.5 goals

31% · odds 3.13

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The match at a glance

  • Match: Stade de Reims vs Annecy
  • Competition: Ligue 2
  • Date and kickoff: Monday 24 August 2026, 18:45
  • Model pick: Over 7.5 corners at n/a, 60% confidence, 10.0 corners projected
  • Stade de Reims average: 5.0 corners for, 5.0 against per match
  • Annecy average: 5.0 corners for, 5.0 against per match

Frequently asked questions

How many corners does the model expect in Stade de Reims vs Annecy?
The corneredge.bet model picks over 7.5 corners at 60% confidence. The predicted total across the match is 10.0 corners.
What is the kickoff time for Stade de Reims vs Annecy?
Kickoff is 14:45 ET on Monday 24 August 2026. That is 19:45 in the United Kingdom and 20:45 in central Europe.
What are the corner averages for Stade de Reims and Annecy?
Across the last 5 matches, Stade de Reims produces 5.0 corners per game. Annecy produces 5.0 corners across the last 5 fixtures. For corners conceded, Stade de Reims sits at 5.0 per match against 5.0 for Annecy. 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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