Puerto Rico National League

Solihull Moors vs Fylde Corner Prediction

Updated live · ~76 min left

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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

SOL Solihull Moors
VS
Fylde FYL
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 1.45

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OVER 2.5 goals

49% · odds 1.51

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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 2.29

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Other Puerto Rico National League fixtures

The match at a glance

  • Match: Solihull Moors vs Fylde
  • Competition: Puerto Rico National League
  • Date and kickoff: Monday 31 August 2026, 14:00
  • Model pick: Over 7.5 corners at n/a, 60% confidence, 10.0 corners projected
  • Solihull Moors average: 5.0 corners for, 5.0 against per match
  • Fylde average: 5.0 corners for, 5.0 against per match

Frequently asked questions

How many corners does the model expect in Solihull Moors vs Fylde?
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 Solihull Moors vs Fylde?
Kickoff is 10:00 ET on Monday 31 August 2026. That is 15:00 in the United Kingdom and 16:00 in central Europe.
Which team produces more corners, Solihull Moors or Fylde?
Across the last 5 matches, Solihull Moors produces 5.0 corners per game. Fylde produces 5.0 corners across the last 5 fixtures. For corners conceded, Solihull Moors sits at 5.0 per match against 5.0 for Fylde. 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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