J1 League Japan

Nagoya Grampus vs Gamba Osaka 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 73%
Fair odds 1.29
Best odds n/a
Value No market yet

Team comparison: corner stats

NAG Nagoya Grampus
VS
Gamba Osaka GAM
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
1.8
Avg goals for
1.8
55%
Over 2.5 goals Percentage
55%
Leader in row Follower

Other markets for this match

OVER 2.5 goals

72% · odds 1.87

Bet →

OVER 8.5 corners

67% · odds 1.47

Both teams to score — Yes

63% · odds 1.67

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OVER 9.5 corners

61% · odds 1.78

OVER 10.5 corners

55% · odds 2.28

OVER 3.5 goals

54% · odds 3.12

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OVER 11.5 corners

49% · odds 3.12

Other J1 League fixtures

The match at a glance

  • Match: Nagoya Grampus vs Gamba Osaka
  • Competition: J1 League
  • Date and kickoff: Saturday 22 August 2026, 10:00
  • Model pick: Over 7.5 corners at n/a, 73% confidence, 10.0 corners projected
  • Nagoya Grampus average: 5.0 corners for, 5.0 against per match
  • Gamba Osaka average: 5.0 corners for, 5.0 against per match

Frequently asked questions

What does the model say about corners in Nagoya Grampus vs Gamba Osaka?
The corneredge.bet model picks over 7.5 corners at 73% confidence. The predicted total across the match is 10.0 corners.
What time does Nagoya Grampus vs Gamba Osaka kick off?
Kickoff is 06:00 ET on Saturday 22 August 2026. That is 11:00 in the United Kingdom and 12:00 in central Europe.
What are the corner averages for Nagoya Grampus and Gamba Osaka?
Across the last 20 matches, Nagoya Grampus produces 5.0 corners per game. Gamba Osaka produces 5.0 corners across the last 20 fixtures. For corners conceded, Nagoya Grampus sits at 5.0 per match against 5.0 for Gamba Osaka. 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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