Friendlies World

China vs Palestine 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 55%
Fair odds 1.29
Best odds n/a
Value No market yet

Team comparison: corner stats

China
VS
Palestine PAL
4.4
Corners for, per match
4.0
5.1
Corners against Lower is better
5.4
9.5
Total match corners
9.4
2.0
First half corners
1.8
1.3
Avg goals for
1.1
45%
Over 2.5 goals Percentage
38%
Leader in row Follower

Top picks & predictions: China vs Palestine

OVER 7.5 corners

55% · odds 1.29

OVER 8.5 corners

49% · odds 1.47

OVER 9.5 corners

43% · odds 1.78

Both teams to score — Yes

41% · odds 1.97

OVER 2.5 goals

41% · odds 1.96

OVER 10.5 corners

37% · odds 2.28

OVER 11.5 corners

31% · odds 3.12

OVER 3.5 goals

23% · odds 5.28

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The match at a glance

  • Match: China vs Palestine
  • Competition: Friendlies
  • Date and kickoff: Friday 2 October 2026, 11:35 UTC
  • Model pick: Over 7.5 corners at n/a, 55% confidence, 10.0 corners projected
  • China average: 4.4 corners for, 5.1 against per match
  • Palestine average: 4.0 corners for, 5.4 against per match

Frequently asked questions

What does the model say about corners in China vs Palestine?
The corneredge.bet model picks over 7.5 corners at 55% confidence. The predicted total across the match is 10.0 corners.
When is China vs Palestine played?
Kickoff is 07:35 ET on Friday 2 October 2026. That is 12:35 in the United Kingdom and 13:35 in central Europe.
What are the corner averages for China and Palestine?
Across the last 3 matches, China produces 4.4 corners per game. Palestine produces 4.0 corners across the last 2 fixtures. For corners conceded, China sits at 5.1 per match against 5.4 for Palestine. 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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