UEFA Conference League Europe

GKS Katowice vs MSK Zilina Corner Prediction

Updated

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OVER 7.5 corners

Model projects 11.0 total corners (line 7.5, edge +3.5). Home team averages 5.2 corners for, away averages 4.8. League baseline: 10.0. Lean: OVER.

Confidence 75%
Fair odds 1.18
Best odds n/a
Value No market yet

Team comparison: corner stats

GKS GKS Katowice
VS
MSK Zilina MSK
4.3
Corners for, per match
5.2
5.7
Corners against Lower is better
5.2
10.0
Total match corners
10.3
4.5
First half corners
4.6
1.7
Avg goals for
1.5
50%
Over 2.5 goals Percentage
55%
Leader in row Follower

Other markets for this match

OVER 8.5 corners

69% · odds 1.29

OVER 9.5 corners

63% · odds 1.48

OVER 2.5 goals

61% · odds 1.83

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Both teams to score — Yes

57% · odds 1.68

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OVER 10.5 corners

57% · odds 1.79

OVER 11.5 corners

51% · odds 2.30

OVER 3.5 goals

43% · odds 3.04

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Other UEFA Conference League fixtures

The match at a glance

  • Match: GKS Katowice vs MSK Zilina
  • Competition: UEFA Conference League
  • Date and kickoff: Thursday 30 July 2026, 18:30
  • Model pick: Over 7.5 corners at n/a, 75% confidence, 11.0 corners projected
  • GKS Katowice average: 4.3 corners for, 5.7 against per match
  • MSK Zilina average: 5.2 corners for, 5.2 against per match

Frequently asked questions

What does the model say about corners in GKS Katowice vs MSK Zilina?
The corneredge.bet model picks over 7.5 corners at 75% confidence. The predicted total across the match is 11.0 corners.
When is GKS Katowice vs MSK Zilina played?
Kickoff is 14:30 ET on Thursday 30 July 2026. That is 19:30 in the United Kingdom and 20:30 in central Europe.
Which team produces more corners, GKS Katowice or MSK Zilina?
Across the last 10 matches, GKS Katowice produces 4.3 corners per game. MSK Zilina produces 5.2 corners across the last 5 fixtures. For corners conceded, GKS Katowice sits at 5.7 per match against 5.2 for MSK Zilina. 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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