UEFA Conference League Europe

Hapoel Tel Aviv vs Atalanta Corner Prediction

Updated

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OVER 7.5 corners

Model projects 9.8 total corners (line 7.5, edge +2.2). Home team averages 5.0 corners for, away averages 5.3. League baseline: 10.0. Lean: OVER.

Confidence 68%
Fair odds 1.32
Best odds n/a
Value No market yet

Team comparison: corner stats

HAP Hapoel Tel Aviv
VS
Atalanta ATA
4.8
Corners for, per match
5.7
4.8
Corners against Lower is better
4.2
9.5
Total match corners
9.8
4.3
First half corners
4.4
1.5
Avg goals for
1.3
55%
Over 2.5 goals Percentage
37%
Leader in row Follower

Other markets for this match

OVER 8.5 corners

62% · odds 1.54

OVER 2.5 goals

56% · odds 1.71

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OVER 9.5 corners

56% · odds 1.88

Both teams to score — Yes

52% · odds 1.73

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OVER 10.5 corners

50% · odds 2.45

OVER 11.5 corners

44% · odds 3.40

OVER 3.5 goals

38% · odds 2.74

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Other UEFA Conference League fixtures

The match at a glance

  • Match: Hapoel Tel Aviv vs Atalanta
  • Competition: UEFA Conference League
  • Date and kickoff: Thursday 27 August 2026, 18:00
  • Model pick: Over 7.5 corners at n/a, 68% confidence, 9.8 corners projected
  • Hapoel Tel Aviv average: 4.8 corners for, 4.8 against per match
  • Atalanta average: 5.7 corners for, 4.2 against per match

Frequently asked questions

What does the model say about corners in Hapoel Tel Aviv vs Atalanta?
The corneredge.bet model picks over 7.5 corners at 68% confidence. The predicted total across the match is 9.8 corners.
What is the kickoff time for Hapoel Tel Aviv vs Atalanta?
Kickoff is 14:00 ET on Thursday 27 August 2026. That is 19:00 in the United Kingdom and 20:00 in central Europe.
How do Hapoel Tel Aviv and Atalanta compare on corners?
Across the last 5 matches, Hapoel Tel Aviv produces 4.8 corners per game. Atalanta produces 5.7 corners across the last 38 fixtures. For corners conceded, Hapoel Tel Aviv sits at 4.8 per match against 4.2 for Atalanta. 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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