Czech First League czech

Sparta Praha vs Mlada Boleslav Corner Prediction

Updated

Kickoff: · epet ARENA

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Team comparison: corner stats

SPA Sparta Praha
VS
Mlada Boleslav MLA
7.4
Corners for, per match
5.9
4.3
Corners against Lower is better
5.9
11.7
Total match corners
11.8
4.3
First half corners
4.3
4.0
Avg goals for
1.5
70%
Over 2.5 goals Percentage
67%
Leader in row Follower

Head to head: last 1 meeting

1

Total meetings

8.0

Avg corners

0 / 0 / 1

Home / Draw / Away

  • 8 Aug 2026 Mlada Boleslav 2-0 Sparta Praha · Czech First League 2-0 8 corners

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The match at a glance

  • Match: Sparta Praha vs Mlada Boleslav
  • Competition: Czech First League
  • Date and kickoff: Saturday 5 December 2026, 14:00 UTC
  • Venue: epet ARENA
  • Sparta Praha average: 7.4 corners for, 4.3 against per match
  • Mlada Boleslav average: 5.9 corners for, 5.9 against per match
  • Head to head: 1 meeting, Sparta Praha won 0, Mlada Boleslav won 1, drew 0, averaging 8.0 corners per match

Frequently asked questions

When is Sparta Praha vs Mlada Boleslav played?
Kickoff is 09:00 ET on Saturday 5 December 2026. That is 14:00 in the United Kingdom and 15:00 in central Europe.
Where is the Sparta Praha vs Mlada Boleslav match played?
The match is played at epet ARENA in czech. The fixture is part of the Czech First League.
What are the corner averages for Sparta Praha and Mlada Boleslav?
Across the last 10 matches, Sparta Praha produces 7.4 corners per game. Mlada Boleslav produces 5.9 corners across the last 9 fixtures. For corners conceded, Sparta Praha sits at 4.3 per match against 5.9 for Mlada Boleslav. The corner battle tilts toward Sparta Praha.
How many times have Sparta Praha and Mlada Boleslav faced each other?
The two sides have met once before. It ended in an Mlada Boleslav win. The fixtures averaged 8.0 corners between the two sides.
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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