Super Liga

FC Spartak Trnava vs MFK Skalica 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 60%
Fair odds 1.29
Best odds n/a
Value No market yet

Team comparison: corner stats

FC FC Spartak Trnava
VS
MFK Skalica MFK
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
1.4
Avg goals for
1.4
51%
Over 2.5 goals Percentage
51%
Leader in row Follower

Other markets for this match

OVER 8.5 corners

54% · odds 1.47

Both teams to score — Yes

49% · odds 1.84

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OVER 2.5 goals

49% · odds 1.77

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OVER 9.5 corners

48% · odds 1.78

OVER 10.5 corners

42% · odds 2.28

OVER 11.5 corners

36% · odds 3.12

OVER 3.5 goals

31% · odds 2.90

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Other Super Liga fixtures

The match at a glance

  • Match: FC Spartak Trnava vs MFK Skalica
  • Competition: Super Liga
  • Date and kickoff: Saturday 25 July 2026, 16:00
  • Model pick: Over 7.5 corners at n/a, 60% confidence, 10.0 corners projected
  • FC Spartak Trnava average: 5.0 corners for, 5.0 against per match
  • MFK Skalica average: 5.0 corners for, 5.0 against per match

Frequently asked questions

What does the model say about corners in FC Spartak Trnava vs MFK Skalica?
The corneredge.bet model picks over 7.5 corners at 60% confidence. The predicted total across the match is 10.0 corners.
When is FC Spartak Trnava vs MFK Skalica played?
Kickoff is 12:00 ET on Saturday 25 July 2026. That is 17:00 in the United Kingdom and 18:00 in central Europe.
Which team produces more corners, FC Spartak Trnava or MFK Skalica?
Across the last 5 matches, FC Spartak Trnava produces 5.0 corners per game. MFK Skalica produces 5.0 corners across the last 5 fixtures. For corners conceded, FC Spartak Trnava sits at 5.0 per match against 5.0 for MFK Skalica. 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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