Match

QPR vs Peterborough: result 2-0 and analysis

League Cup1st RoundKick-off on August 14, 2018 at 06:45 PM (UTC)MATRADE Loftus Road, London

QPR
2-0
Peterborough

Full time

What was the result of QPR vs Peterborough?

QPR won 2-0 on August 14, 2018.

Goalscorers

  • 3′L. FreemanQPR
  • 6′P. WszołekQPR

Official lineup for QPR vs Peterborough

The starting elevens fielded at kick-off.

QPR

  1. 9C. Washington
  1. 7L. Freeman
  2. 8J. Cousins
  3. 11J. Scowen
  4. 20B. Osayi-Samuel
  5. 23P. Wszołek
  1. 3J. Bidwell
  2. 15Alexander Aaron John Baptiste
  3. 24O. Kakay
  4. 37T. Leistner
  1. 13J. Lumley

Peterborough

  1. 15Joseph Ward
  2. 17I. Toney
  1. 4A. Woodyard
  2. 10S. Dembélé
  3. 14C. Cooke
  4. 23T. Denton
  1. 2J. Naismith
  2. 5R. Tafazolli
  3. 8M. O'Hara
  4. 16R. Bennett
  1. 1A. Chapman
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What is the recent form of both teams?

Over their last 15 matches in all competitions, QPR have 5 wins, 2 draws and 8 defeats; Peterborough have 7, 2 and 6.

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

QPR
DateOpponentScoreCompetition
Aug 11, 2018Sheffield Utd(home)1-2Championship
Aug 4, 2018Preston(away)0-1Championship
May 6, 2018Leeds(away)0-2Championship
Apr 28, 2018Birmingham(home)3-1Championship
Apr 21, 2018Brentford(away)1-2Championship
Peterborough
DateOpponentScoreCompetition
Aug 11, 2018Rochdale(away)4-1League One
Aug 4, 2018Bristol Rovers(home)2-1League One
May 5, 2018Portsmouth(away)0-2League One
Apr 28, 2018Fleetwood Town(home)2-0League One
Apr 24, 2018Shrewsbury(away)1-3League One

How many goals should we expect?

QPR score 1.5 and concede 1.8 goals per match over their last 15; Peterborough score 1.5 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
QPR1.51.8110/1510/15
Peterborough1.51.3310/158/15

Over the last 15 matches in all competitions.

A question about QPR vs Peterborough?

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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