UEFA Champions League Europe

Iberia 1999 vs FC Flora Tallinn Corner Prediction

Updated

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OVER 7.5 corners

Model projects 10.4 total corners (line 7.5, edge +2.9). Home team averages 5.5 corners for, away averages 5.0. League baseline: 10.0. Lean: OVER.

Confidence 72%
Fair odds 1.23
Best odds n/a
Value n/a

Team comparison: corner stats

IBE Iberia 1999
VS
FC Flora Tallinn FC
5.3
Corners for, per match
5.3
5.3
Corners against Lower is better
5.3
10.5
Total match corners
10.5
4.7
First half corners
4.7
1.6
Avg goals for
1.6
58%
Over 2.5 goals Percentage
58%
Leader in row Follower

Alternative corner markets

OVER 8.5 corners

66% · odds 1.38

OVER 2.5 corners

64% · odds 1.55

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OVER 9.5 corners

60% · odds 1.63

YES 0 corners

60% · odds 1.59

Bet →

OVER 10.5 corners

54% · odds 2.04

OVER 11.5 corners

48% · odds 2.71

OVER 3.5 corners

46% · odds 2.39

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Other UEFA Champions League fixtures

The match at a glance

  • Match: Iberia 1999 vs FC Flora Tallinn
  • Competition: UEFA Champions League
  • Date and kickoff: Tuesday 14 July 2026, 16:00
  • Model pick: Over 7.5 corners at n/a, 72% confidence, 10.4 corners projected
  • Iberia 1999 average: 5.3 corners for, 5.3 against per match
  • FC Flora Tallinn average: 5.3 corners for, 5.3 against per match

Frequently asked questions

What is the corner prediction for Iberia 1999 vs FC Flora Tallinn?
The corneredge.bet model picks over 7.5 corners at 72% confidence. The predicted total across the match is 10.4 corners.
When is Iberia 1999 vs FC Flora Tallinn played?
Kickoff is 12:00 ET on Tuesday 14 July 2026. That is 17:00 in the United Kingdom and 18:00 in central Europe.
Which team produces more corners, Iberia 1999 or FC Flora Tallinn?
Across the last 5 matches, Iberia 1999 produces 5.3 corners per game. FC Flora Tallinn produces 5.3 corners across the last 5 fixtures. For corners conceded, Iberia 1999 sits at 5.3 per match against 5.3 for FC Flora Tallinn. 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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