Segunda Liga Portugal

Lusitania FC vs AVS 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

LUS Lusitania FC
VS
AVS AVS
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 1.89

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OVER 2.5 goals

49% · odds 2.22

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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 3.93

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Other Segunda Liga fixtures

The match at a glance

  • Match: Lusitania FC vs AVS
  • Competition: Segunda Liga
  • Date and kickoff: Monday 7 September 2026, 17:00
  • Model pick: Over 7.5 corners at n/a, 60% confidence, 10.0 corners projected
  • Lusitania FC average: 5.0 corners for, 5.0 against per match
  • AVS average: 5.0 corners for, 5.0 against per match

Frequently asked questions

What is the corner prediction for Lusitania FC vs AVS?
The corneredge.bet model picks over 7.5 corners at 60% confidence. The predicted total across the match is 10.0 corners.
What is the kickoff time for Lusitania FC vs AVS?
Kickoff is 13:00 ET on Monday 7 September 2026. That is 18:00 in the United Kingdom and 19:00 in central Europe.
Which team produces more corners, Lusitania FC or AVS?
Across the last 5 matches, Lusitania FC produces 5.0 corners per game. AVS produces 5.0 corners across the last 5 fixtures. For corners conceded, Lusitania FC sits at 5.0 per match against 5.0 for AVS. 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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