Serie A

Santos vs Athletico-PR Corner Prediction

Updated

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OVER 7.5 corners

Model projects 9.4 total corners (line 7.5, edge +1.8). Home team averages 5.8 corners for, away averages 4.8. League baseline: 10.0. Lean: OVER.

Confidence 65%
Fair odds 1.40
Best odds n/a
Value No market yet

Team comparison: corner stats

SAN Santos
VS
Athletico-PR ATH
5.3
Corners for, per match
5.2
4.9
Corners against Lower is better
4.5
10.1
Total match corners
9.7
4.5
First half corners
4.4
1.5
Avg goals for
1.3
51%
Over 2.5 goals Percentage
44%
Leader in row Follower

Other markets for this match

OVER 8.5 corners

59% · odds 1.65

OVER 2.5 goals

58% · odds 2.13

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Both teams to score — Yes

54% · odds 1.85

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OVER 9.5 corners

53% · odds 2.08

OVER 10.5 corners

47% · odds 2.78

OVER 11.5 corners

41% · odds 3.93

OVER 3.5 goals

40% · odds 3.68

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Other Serie A fixtures

The match at a glance

  • Match: Santos vs Athletico-PR
  • Competition: Serie A
  • Date and kickoff: Sunday 9 August 2026, 21:30
  • Model pick: Over 7.5 corners at n/a, 65% confidence, 9.3 corners projected
  • Santos average: 5.3 corners for, 4.9 against per match
  • Athletico-PR average: 5.2 corners for, 4.5 against per match

Frequently asked questions

What is the corner prediction for Santos vs Athletico-PR?
The corneredge.bet model picks over 7.5 corners at 65% confidence. The predicted total across the match is 9.4 corners.
What time does Santos vs Athletico-PR kick off?
Kickoff is 17:30 ET on Sunday 9 August 2026. That is 22:30 in the United Kingdom and 23:30 in central Europe.
Which team produces more corners, Santos or Athletico-PR?
Across the last 7 matches, Santos produces 5.3 corners per game. Athletico-PR produces 5.2 corners across the last 18 fixtures. For corners conceded, Santos sits at 4.9 per match against 4.5 for Athletico-PR. 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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