J1 League Japan

Mito Hollyhock vs Kashima 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

MIT Mito Hollyhock
VS
Kashima KAS
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
1.2
Avg goals for
1.7
55%
Over 2.5 goals Percentage
55%
Leader in row Follower

Other markets for this match

OVER 8.5 corners

67% · odds 1.47

OVER 2.5 goals

65% · odds 2.02

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OVER 9.5 corners

61% · odds 1.78

OVER 10.5 corners

55% · odds 2.28

Both teams to score — Yes

53% · odds 1.82

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OVER 11.5 corners

49% · odds 3.12

OVER 3.5 goals

47% · odds 3.45

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Other J1 League fixtures

The match at a glance

  • Match: Mito Hollyhock vs Kashima
  • Competition: J1 League
  • Date and kickoff: Wednesday 2 September 2026, 10:00
  • Model pick: Over 7.5 corners at n/a, 73% confidence, 10.0 corners projected
  • Mito Hollyhock average: 5.0 corners for, 5.0 against per match
  • Kashima average: 5.0 corners for, 5.0 against per match

Frequently asked questions

How many corners does the model expect in Mito Hollyhock vs Kashima?
The corneredge.bet model picks over 7.5 corners at 73% confidence. The predicted total across the match is 10.0 corners.
What is the kickoff time for Mito Hollyhock vs Kashima?
Kickoff is 06:00 ET on Wednesday 2 September 2026. That is 11:00 in the United Kingdom and 12:00 in central Europe.
Which team produces more corners, Mito Hollyhock or Kashima?
Across the last 20 matches, Mito Hollyhock produces 5.0 corners per game. Kashima produces 5.0 corners across the last 20 fixtures. For corners conceded, Mito Hollyhock sits at 5.0 per match against 5.0 for Kashima. 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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