Primeira Liga

CS Maritimo Madeira vs Casa Pia 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

CS CS Maritimo Madeira
VS
Casa Pia CAS
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 1.68

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OVER 2.5 goals

49% · odds 1.84

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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 3.05

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Other Primeira Liga fixtures

The match at a glance

  • Match: CS Maritimo Madeira vs Casa Pia
  • Competition: Primeira Liga
  • Date and kickoff: Saturday 8 August 2026, 14:30
  • Model pick: Over 7.5 corners at n/a, 60% confidence, 10.0 corners projected
  • CS Maritimo Madeira average: 5.0 corners for, 5.0 against per match
  • Casa Pia average: 5.0 corners for, 5.0 against per match

Frequently asked questions

What is the corner prediction for CS Maritimo Madeira vs Casa Pia?
The corneredge.bet model picks over 7.5 corners at 60% confidence. The predicted total across the match is 10.0 corners.
What time does CS Maritimo Madeira vs Casa Pia kick off?
Kickoff is 10:30 ET on Saturday 8 August 2026. That is 15:30 in the United Kingdom and 16:30 in central Europe.
What are the corner averages for CS Maritimo Madeira and Casa Pia?
Across the last 5 matches, CS Maritimo Madeira produces 5.0 corners per game. Casa Pia produces 5.0 corners across the last 5 fixtures. For corners conceded, CS Maritimo Madeira sits at 5.0 per match against 5.0 for Casa Pia. 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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