Friendlies World

Fiji vs Papua New Guinea Corner Prediction

Updated

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OVER 7.5 corners

Model projects 9.7 total corners (line 7.5, edge +2.2). Home team averages 4.3 corners for, away averages 5.0. League baseline: 10.0. Lean: OVER.

Confidence 58%
Fair odds 1.33
Best odds n/a
Value No market yet

Team comparison: corner stats

FIJ Fiji
VS
Papua New Guinea PAP
3.9
Corners for, per match
4.8
5.4
Corners against Lower is better
4.8
9.3
Total match corners
9.5
1.8
First half corners
4.3
1.2
Avg goals for
1.5
40%
Over 2.5 goals Percentage
55%
Leader in row Follower

Top picks & predictions: Fiji vs Papua New Guinea

OVER 7.5 corners

58% · odds 1.33

OVER 8.5 corners

52% · odds 1.55

Both teams to score — Yes

49% · odds 1.83

OVER 2.5 goals

49% · odds 1.74

OVER 9.5 corners

46% · odds 1.90

OVER 10.5 corners

40% · odds 2.49

OVER 11.5 corners

34% · odds 3.46

OVER 3.5 goals

31% · odds 4.32

More Friendlies picks & predictions

The match at a glance

  • Match: Fiji vs Papua New Guinea
  • Competition: Friendlies
  • Date and kickoff: Sunday 27 September 2026, 07:00 UTC
  • Model pick: Over 7.5 corners at n/a, 58% confidence, 9.7 corners projected
  • Fiji average: 3.9 corners for, 5.4 against per match
  • Papua New Guinea average: 4.8 corners for, 4.8 against per match

Frequently asked questions

What does the model say about corners in Fiji vs Papua New Guinea?
The corneredge.bet model picks over 7.5 corners at 58% confidence. The predicted total across the match is 9.7 corners.
When is Fiji vs Papua New Guinea played?
Kickoff is 03:00 ET on Sunday 27 September 2026. That is 08:00 in the United Kingdom and 09:00 in central Europe.
Which team produces more corners, Fiji or Papua New Guinea?
Across the last 5 matches, Fiji produces 3.9 corners per game. Papua New Guinea produces 4.8 corners across the last 5 fixtures. For corners conceded, Fiji sits at 5.4 per match against 4.8 for Papua New Guinea. 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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