UEFA Conference League Europe

Partizan Belgrade vs Getafe Corner Prediction

Updated

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OVER 7.5 corners

Model projects 9.2 total corners (line 7.5, edge +1.7). Home team averages 5.0 corners for, away averages 3.0. League baseline: 10.0. Lean: OVER.

Confidence 55%
Fair odds 1.44
Best odds n/a
Value No market yet

Team comparison: corner stats

PAR Partizan Belgrade
VS
Getafe GET
5.0
Corners for, per match
3.0
5.0
Corners against Lower is better
5.0
10.0
Total match corners
8.0
4.5
First half corners
4.3
1.4
Avg goals for
1.4
51%
Over 2.5 goals Percentage
52%
Leader in row Follower

Other markets for this match

OVER 8.5 corners

49% · odds 1.72

Both teams to score — Yes

49% · odds 1.78

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OVER 2.5 goals

49% · odds 2.02

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OVER 9.5 corners

43% · odds 2.19

OVER 10.5 corners

37% · odds 2.96

OVER 11.5 corners

31% · odds 4.24

OVER 3.5 goals

31% · odds 3.44

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Other UEFA Conference League fixtures

The match at a glance

  • Match: Partizan Belgrade vs Getafe
  • Competition: UEFA Conference League
  • Date and kickoff: Thursday 27 August 2026, 19:00
  • Model pick: Over 7.5 corners at n/a, 55% confidence, 9.2 corners projected
  • Partizan Belgrade average: 5.0 corners for, 5.0 against per match
  • Getafe average: 3.0 corners for, 5.0 against per match

Frequently asked questions

What is the corner prediction for Partizan Belgrade vs Getafe?
The corneredge.bet model picks over 7.5 corners at 55% confidence. The predicted total across the match is 9.2 corners.
What time does Partizan Belgrade vs Getafe kick off?
Kickoff is 15:00 ET on Thursday 27 August 2026. That is 20:00 in the United Kingdom and 21:00 in central Europe.
What are the corner averages for Partizan Belgrade and Getafe?
Across the last 5 matches, Partizan Belgrade produces 5.0 corners per game. Getafe produces 3.0 corners across the last 1 fixtures. For corners conceded, Partizan Belgrade sits at 5.0 per match against 5.0 for Getafe. The corner battle tilts toward Partizan Belgrade.
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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