Latvia Virsliga

FK Jelgava vs RFS Corner Prediction

Updated

Kickoff:

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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 6.3. League baseline: 10.0. Lean: OVER.

Confidence 59%
Fair odds 1.32
Best odds n/a
Value No market yet

Team comparison: corner stats

FK FK Jelgava
VS
RFS RFS
5.0
Corners for, per match
6.7
5.0
Corners against Lower is better
2.7
10.0
Total match corners
9.5
4.5
First half corners
4.3
1.4
Avg goals for
2.5
51%
Over 2.5 goals Percentage
59%
Leader in row Follower

Other markets for this match

OVER 8.5 corners

53% · odds 1.54

OVER 2.5 goals

52% · odds 1.48

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Both teams to score — Yes

49% · odds 1.74

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OVER 9.5 corners

47% · odds 1.88

OVER 10.5 corners

41% · odds 2.45

OVER 11.5 corners

35% · odds 3.40

OVER 3.5 goals

34% · odds 2.22

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Sun 16:00

FK Auda vs FK Liepaja
Mon 16:00

SK Super Nova vs Grobinas SC

The match at a glance

  • Match: FK Jelgava vs RFS
  • Competition: Latvia Virsliga
  • Date and kickoff: Monday 20 July 2026, 15:00
  • Model pick: Over 7.5 corners at n/a, 59% confidence, 9.8 corners projected
  • FK Jelgava average: 5.0 corners for, 5.0 against per match
  • RFS average: 6.7 corners for, 2.7 against per match

Frequently asked questions

How many corners does the model expect in FK Jelgava vs RFS?
The corneredge.bet model picks over 7.5 corners at 59% confidence. The predicted total across the match is 9.8 corners.
When is FK Jelgava vs RFS played?
Kickoff is 11:00 ET on Monday 20 July 2026. That is 16:00 in the United Kingdom and 17:00 in central Europe.
How do FK Jelgava and RFS compare on corners?
Across the last 5 matches, FK Jelgava produces 5.0 corners per game. RFS produces 6.7 corners across the last 20 fixtures. For corners conceded, FK Jelgava sits at 5.0 per match against 2.7 for RFS. The corner battle tilts toward RFS.
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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