Match

Blackpool vs Peterborough: result 2-1 and analysis

ChampionshipRegular Season - 2Kick-off on August 14, 2011 at 02:00 PM (UTC)Bloomfield Road, Blackpool, Lancashire

Blackpool
2-1
Peterborough

Full time

What was the result of Blackpool vs Peterborough?

Blackpool won 2-1 on August 14, 2011.

Goalscorers

  • 44′Kevin PhillipsBlackpool
  • 48′Kevin PhillipsBlackpool
  • 82′George BoydPeterborough

Official lineup for Blackpool vs Peterborough

The starting elevens fielded at kick-off.

Blackpool

  1. 9Kevin Phillips
  2. 10B. Ormerod
  1. 4K. Southern
  2. 8E. Grandin
  3. 12Gary Taylor-Fletcher
  1. 3S. Crainey
  2. 6I. Evatt
  3. 15Alexander Aaron John Baptiste
  4. 16Barry Ferguson
  5. 20C. Cathcart
  1. 1Matthew Gilks

Peterborough

  1. 8Lee Tomlin
  2. 9D. Ball
  1. 10George Boyd
  2. 11G. McCann
  3. 14T. Rowe
  4. 23Lee Frecklington
  1. 2M. Little
  2. 3Grant Basey
  3. 4R. Bennett
  4. 6S. Wootton
  1. 28P. Jones
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Blackpool have 3 wins, 6 draws and 6 defeats; Peterborough have 2, 0 and 0.

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

Blackpool
DateOpponentScoreCompetition
Aug 11, 2011Sheffield Wednesday(away)0-0League Cup
Aug 5, 2011Hull City(away)1-0Championship
May 22, 2011Manchester United(away)2-4Premier League
May 14, 2011Bolton(home)4-3Premier League
May 7, 2011Tottenham(away)1-1Premier League
Peterborough
DateOpponentScoreCompetition
Aug 9, 2011Stevenage(away)4-3League Cup
Aug 6, 2011Crystal Palace(home)2-1Championship

How many goals should we expect?

Blackpool score 1.2 and concede 1.9 goals per match over their last 15; Peterborough score 3.0 and concede 2.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Blackpool1.21.9310/159/15
Peterborough3.02.002/22/2

Over the last 15 matches in all competitions.

A question about Blackpool 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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