Friendlies International

BG Pathum Utd vs Aston Villa Corner Prediction

Updated 20.9 hr to kickoff

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OVER 7.5 corners

Model projects 10.2 total corners (line 7.5, edge +2.7). Home team averages 5.0 corners for, away averages 5.1. League baseline: 10.0. Lean: OVER.

Confidence 61%
Fair odds 1.26
Best odds n/a
Value No market yet

Team comparison: corner stats

BG BG Pathum Utd
VS
Aston Villa AST
4.8
Corners for, per match
5.6
4.8
Corners against Lower is better
4.9
9.5
Total match corners
10.5
4.3
First half corners
4.5
1.5
Avg goals for
1.7
55%
Over 2.5 goals Percentage
50%
Leader in row Follower

Other markets for this match

OVER 8.5 corners

55% · odds 1.43

OVER 2.5 goals

50% · odds 1.23

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Both teams to score — Yes

50% · odds 1.53

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OVER 9.5 corners

49% · odds 1.72

OVER 10.5 corners

43% · odds 2.18

OVER 11.5 corners

37% · odds 2.94

OVER 3.5 goals

32% · odds 1.63

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Other Friendlies fixtures

The match at a glance

  • Match: BG Pathum Utd vs Aston Villa
  • Competition: Friendlies
  • Date and kickoff: Tuesday 4 August 2026, 12:30
  • Model pick: Over 7.5 corners at n/a, 61% confidence, 10.2 corners projected
  • BG Pathum Utd average: 4.8 corners for, 4.8 against per match
  • Aston Villa average: 5.6 corners for, 4.9 against per match

Frequently asked questions

What does the model say about corners in BG Pathum Utd vs Aston Villa?
The corneredge.bet model picks over 7.5 corners at 61% confidence. The predicted total across the match is 10.2 corners.
When is BG Pathum Utd vs Aston Villa played?
Kickoff is 08:30 ET on Tuesday 4 August 2026. That is 13:30 in the United Kingdom and 14:30 in central Europe.
Which team produces more corners, BG Pathum Utd or Aston Villa?
Across the last 5 matches, BG Pathum Utd produces 4.8 corners per game. Aston Villa produces 5.6 corners across the last 12 fixtures. For corners conceded, BG Pathum Utd sits at 4.8 per match against 4.9 for Aston Villa. 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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