Match

QPR vs Swindon Town: result 0-2 and analysis

League Cup2nd RoundKick-off on August 27, 2013 at 06:45 PM (UTC)MATRADE Loftus Road, London

QPR
0-2
Swindon Town

Full time

What was the result of QPR vs Swindon Town?

Swindon Town won 0-2 on August 27, 2013.

Goalscorers

  • 38′Nile RangerSwindon Town
  • 90′A. PritchardSwindon Town

Official lineup for QPR vs Swindon Town

The starting elevens fielded at kick-off.

QPR

  1. 9C. Austin
  2. 25B. Zamora
  1. 11S. Wright-Phillips
  2. 16J. Jenas
  3. 24S. Diakité
  4. 32Alejandro Damián Faurlin
  1. 2D. Simpson
  2. 6C. Hill
  3. 13Yun Suk-Young
  4. 15N. Onuoha
  1. 26Brian Edward Murphy

Swindon Town

  1. 9Nile Ranger
  1. 4M. Luongo
  2. 7Ryan Bernard Harley
  3. 11A. Pritchard
  4. 15Yaser Kasim
  1. 2N. Thompson
  2. 3N. Byrne
  3. 5G. Hall
  4. 21A. Smith
  1. 1W. Foderingham
  2. 22D. Ward
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What is the recent form of both teams?

Over their last 15 matches in all competitions, QPR have 5 wins, 3 draws and 7 defeats; Swindon Town have 4, 5 and 6.

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

QPR
DateOpponentScoreCompetition
Aug 24, 2013Bolton(away)1-0Championship
Aug 17, 2013Ipswich(home)1-0Championship
Aug 10, 2013Huddersfield(away)1-1Championship
Aug 6, 2013Exeter City(away)2-0League Cup
Aug 3, 2013Sheffield Wednesday(home)2-1Championship
Swindon Town
DateOpponentScoreCompetition
Aug 24, 2013Gillingham(home)2-2League One
Aug 17, 2013Shrewsbury(away)0-2League One
Aug 10, 2013Stevenage(home)1-0League One
Aug 6, 2013Torquay(home)1-0League Cup
Aug 3, 2013Peterborough(away)0-1League One

How many goals should we expect?

QPR score 1.1 and concede 1.2 goals per match over their last 15; Swindon Town score 1.3 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
QPR1.11.247/155/15
Swindon Town1.31.546/155/15

Over the last 15 matches in all competitions.

A question about QPR vs Swindon Town?

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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