Ligue 1 France

Paris FC vs OGC Nice Corner Prediction

Updated

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OVER 7.5 corners

Model projects 10.2 total corners (line 7.5, edge +2.7). Home team averages 5.4 corners for, away averages 4.8. League baseline: 10.0. Lean: OVER.

Confidence 70%
Fair odds 1.26
Best odds n/a
Value No market yet

Team comparison: corner stats

PAR Paris FC
VS
OGC Nice OGC
5.1
Corners for, per match
5.1
5.1
Corners against Lower is better
5.1
10.2
Total match corners
10.2
4.6
First half corners
4.6
1.5
Avg goals for
1.5
55%
Over 2.5 goals Percentage
55%
Leader in row Follower

Other markets for this match

OVER 8.5 corners

64% · odds 1.43

OVER 2.5 goals

61% · odds 1.88

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OVER 9.5 corners

58% · odds 1.72

Both teams to score — Yes

57% · odds 1.73

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OVER 10.5 corners

52% · odds 2.18

OVER 11.5 corners

46% · odds 2.94

OVER 3.5 goals

43% · odds 3.13

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Other Ligue 1 fixtures

The match at a glance

  • Match: Paris FC vs OGC Nice
  • Competition: Ligue 1
  • Date and kickoff: Sunday 30 August 2026, 13:00
  • Model pick: Over 7.5 corners at n/a, 70% confidence, 10.2 corners projected
  • Paris FC average: 5.1 corners for, 5.1 against per match
  • OGC Nice average: 5.1 corners for, 5.1 against per match

Frequently asked questions

How many corners does the model expect in Paris FC vs OGC Nice?
The corneredge.bet model picks over 7.5 corners at 70% confidence. The predicted total across the match is 10.2 corners.
What is the kickoff time for Paris FC vs OGC Nice?
Kickoff is 09:00 ET on Sunday 30 August 2026. That is 14:00 in the United Kingdom and 15:00 in central Europe.
What are the corner averages for Paris FC and OGC Nice?
Across the last 5 matches, Paris FC produces 5.1 corners per game. OGC Nice produces 5.1 corners across the last 5 fixtures. For corners conceded, Paris FC sits at 5.1 per match against 5.1 for OGC Nice. 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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