Division Profesional

Blooming vs GV San Jose Corner Prediction

Updated 2 days to kickoff

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OVER 7.5 corners

Model projects 10.0 total corners (line 7.5, edge +2.5). Home team averages 5.0 corners for, away averages 5.0. League baseline: 10.0. Lean: OVER.

Confidence 60%
Fair odds 1.29
Best odds n/a
Value No market yet

Team comparison: corner stats

BLO Blooming
VS
GV San Jose GV
5.0
Corners for, per match
5.0
5.0
Corners against Lower is better
5.0
10.0
Total match corners
10.0
4.5
First half corners
4.5
1.4
Avg goals for
1.4
51%
Over 2.5 goals Percentage
51%
Leader in row Follower

Other markets for this match

OVER 8.5 corners

54% · odds 1.47

Both teams to score — Yes

49% · odds 1.59

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OVER 2.5 goals

49% · odds 1.45

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OVER 9.5 corners

48% · odds 1.78

OVER 10.5 corners

42% · odds 2.28

OVER 11.5 corners

36% · odds 3.12

OVER 3.5 goals

31% · odds 2.16

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Other Division Profesional fixtures

The match at a glance

  • Match: Blooming vs GV San Jose
  • Competition: Division Profesional
  • Date and kickoff: Wednesday 15 July 2026, 00:30
  • Model pick: Over 7.5 corners at n/a, 60% confidence, 10.0 corners projected
  • Blooming average: 5.0 corners for, 5.0 against per match
  • GV San Jose average: 5.0 corners for, 5.0 against per match

Frequently asked questions

How many corners does the model expect in Blooming vs GV San Jose?
The corneredge.bet model picks over 7.5 corners at 60% confidence. The predicted total across the match is 10.0 corners.
When is Blooming vs GV San Jose played?
Kickoff is 20:30 ET in New York on Tuesday 14 July 2026. That is 01:30 in the United Kingdom and 02:30 in central Europe, both on Wednesday 15 July 2026.
Which team produces more corners, Blooming or GV San Jose?
Across the last 5 matches, Blooming produces 5.0 corners per game. GV San Jose produces 5.0 corners across the last 5 fixtures. For corners conceded, Blooming sits at 5.0 per match against 5.0 for GV San Jose. 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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