J1 League Japan

Kyoto Sanga vs Mito Hollyhock 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

KYO Kyoto Sanga
VS
Mito Hollyhock MIT
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
1.3
Avg goals for
1.2
55%
Over 2.5 goals Percentage
55%
Leader in row Follower

Other markets for this match

OVER 2.5 goals

68% · odds 2.25

Bet →

OVER 8.5 corners

67% · odds 1.47

OVER 9.5 corners

61% · odds 1.78

Both teams to score — Yes

60% · odds 1.92

Bet →

OVER 10.5 corners

55% · odds 2.28

OVER 3.5 goals

50% · odds 3.93

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OVER 11.5 corners

49% · odds 3.12

Other J1 League fixtures

The match at a glance

  • Match: Kyoto Sanga vs Mito Hollyhock
  • 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
  • Kyoto Sanga average: 5.0 corners for, 5.0 against per match
  • Mito Hollyhock average: 5.0 corners for, 5.0 against per match

Frequently asked questions

How many corners does the model expect in Kyoto Sanga vs Mito Hollyhock?
The corneredge.bet model picks over 7.5 corners at 73% confidence. The predicted total across the match is 10.0 corners.
When is Kyoto Sanga vs Mito Hollyhock played?
Kickoff is 06:00 ET on Saturday 22 August 2026. That is 11:00 in the United Kingdom and 12:00 in central Europe.
Which team produces more corners, Kyoto Sanga or Mito Hollyhock?
Across the last 20 matches, Kyoto Sanga produces 5.0 corners per game. Mito Hollyhock produces 5.0 corners across the last 20 fixtures. For corners conceded, Kyoto Sanga sits at 5.0 per match against 5.0 for Mito Hollyhock. 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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