Friendlies World

Seychelles vs Sri Lanka 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

SEY Seychelles
VS
Sri Lanka SRI
4.8
Corners for, per match
4.8
4.8
Corners against Lower is better
4.8
9.5
Total match corners
9.5
4.3
First half corners
4.3
1.5
Avg goals for
4.0
55%
Over 2.5 goals Percentage
55%
Leader in row Follower

Top picks & predictions: Seychelles vs Sri Lanka

OVER 2.5 goals

66% · odds 1.17

OVER 7.5 corners

60% · odds 1.29

Both teams to score — Yes

57% · odds 1.55

OVER 8.5 corners

54% · odds 1.47

OVER 3.5 goals

48% · odds 1.76

OVER 9.5 corners

48% · odds 1.78

OVER 10.5 corners

42% · odds 2.28

OVER 11.5 corners

36% · odds 3.12

More Friendlies picks & predictions

The match at a glance

  • Match: Seychelles vs Sri Lanka
  • Competition: Friendlies
  • Date and kickoff: Sunday 27 September 2026, 12:00 UTC
  • Model pick: Over 7.5 corners at n/a, 60% confidence, 10.0 corners projected
  • Seychelles average: 4.8 corners for, 4.8 against per match
  • Sri Lanka average: 4.8 corners for, 4.8 against per match

Frequently asked questions

What does the model say about corners in Seychelles vs Sri Lanka?
The corneredge.bet model picks over 7.5 corners at 60% confidence. The predicted total across the match is 10.0 corners.
When is Seychelles vs Sri Lanka played?
Kickoff is 08:00 ET on Sunday 27 September 2026. That is 13:00 in the United Kingdom and 14:00 in central Europe.
Which team produces more corners, Seychelles or Sri Lanka?
Across the last 5 matches, Seychelles produces 4.8 corners per game. Sri Lanka produces 4.8 corners across the last 1 fixtures. For corners conceded, Seychelles sits at 4.8 per match against 4.8 for Sri Lanka. 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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