Match

Peterhead vs Cove Rangers: result 2-1 and analysis

League CupGroup Stage - 1Kick-off on July 13, 2019 at 02:00 PM (UTC)Balmoor Stadium, Peterhead

Peterhead
2-1
Cove Rangers

Full time

What was the result of Peterhead vs Cove Rangers?

Peterhead won 2-1 on July 13, 2019.

Goalscorers

  • 14′Jamie MassonCove Rangers (pen.)
  • 20′D. LylePeterhead
  • 39′R. McAllisterPeterhead (pen.)

Official lineup for Peterhead vs Cove Rangers

The starting elevens fielded at kick-off.

Peterhead

  1. 9R. McAllister
  2. 11A. Smith
  3. 99D. Lyle
  1. 6Simon William Ferry
  2. 8S. Brown
  3. 10J. Leitch
  1. 2Jason Brown
  2. 3Patrick Joseph Gerard Boyle
  3. 4C. Eadie
  4. 15S. Hooper
  1. 1G. Fleming

Cove Rangers

  1. 6C. Scully
  2. 7D. Park
  3. 8S. Burnett
  4. 9M. Megginson
  5. 10Jordon Brown
  6. 11Jamie Masson
  1. 2B. Yule
  2. 3H. Milne
  3. 4S. Ross
  4. 5D. Kelly
  1. 1S. McKenzie
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Peterhead have 9 wins, 5 draws and 1 defeat; Cove Rangers have 1, 0 and 3.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Peterhead
DateOpponentScoreCompetition
May 4, 2019Queen's Park(away)2-0League Two
Apr 27, 2019Stirling Albion(home)1-1League Two
Apr 20, 2019Elgin City(away)2-1League Two
Apr 13, 2019Albion Rovers(home)1-1League Two
Apr 6, 2019Clyde(away)3-3League Two
Cove Rangers
DateOpponentScoreCompetition
Jul 28, 2018Raith Rovers(home)2-0League Cup
Jul 21, 2018Cowdenbeath(away)0-1League Cup
Jul 18, 2018Heart Of Midlothian(home)1-2League Cup
Jul 14, 2018Inverness CT(away)0-2League Cup

How many goals should we expect?

Peterhead score 1.4 and concede 0.8 goals per match over their last 15; Cove Rangers score 0.8 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Peterhead1.40.868/156/15
Cove Rangers0.81.311/41/4

Over the last 15 matches in all competitions.

A question about Peterhead vs Cove Rangers?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.

How does Footlab AI compute this prediction?

The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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