UEFA Champions League World

FC Porto vs PSV Eindhoven Corner Prediction

Updated

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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 6.0. League baseline: 10.0. Lean: OVER.

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

Team comparison: corner stats

FC FC Porto
VS
PSV Eindhoven PSV
5.3
Corners for, per match
6.5
5.3
Corners against Lower is better
4.9
10.5
Total match corners
11.4
4.7
First half corners
4.7
1.6
Avg goals for
3.1
58%
Over 2.5 goals Percentage
90%
Leader in row Follower

Other markets for this match

OVER 2.5 goals

64% · odds 1.21

Both teams to score — Yes

60% · odds 1.45

OVER 8.5 corners

54% · odds 1.47

OVER 9.5 corners

48% · odds 1.78

OVER 3.5 goals

46% · odds 1.93

OVER 10.5 corners

42% · odds 2.28

OVER 11.5 corners

36% · odds 3.12

Other UEFA Champions League fixtures

The match at a glance

  • Match: FC Porto vs PSV Eindhoven
  • Competition: UEFA Champions League
  • Date and kickoff: Tuesday 8 September 2026, 19:00
  • Model pick: Over 7.5 corners at n/a, 60% confidence, 10.0 corners projected
  • FC Porto average: 5.3 corners for, 5.3 against per match
  • PSV Eindhoven average: 6.5 corners for, 4.9 against per match

Frequently asked questions

What does the model say about corners in FC Porto vs PSV Eindhoven?
The corneredge.bet model picks over 7.5 corners at 60% confidence. The predicted total across the match is 10.0 corners.
What is the kickoff time for FC Porto vs PSV Eindhoven?
Kickoff is 15:00 ET on Tuesday 8 September 2026. That is 20:00 in the United Kingdom and 21:00 in central Europe.
What are the corner averages for FC Porto and PSV Eindhoven?
Across the last 5 matches, FC Porto produces 5.3 corners per game. PSV Eindhoven produces 6.5 corners across the last 10 fixtures. For corners conceded, FC Porto sits at 5.3 per match against 4.9 for PSV Eindhoven. The corner battle tilts toward PSV Eindhoven.
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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