Match

Oxford United vs Bury: result 2-1 and analysis

League TwoRegular Season - 2Kick-off on August 10, 2013 at 02:00 PM (UTC)The Kassam Stadium, Oxford, Oxfordshire

Oxford United
2-1
Bury

Full time

What was the result of Oxford United vs Bury?

Oxford United won 2-1 on August 10, 2013.

Goalscorers

  • 33′D. RoseOxford United
  • 70′T. SoaresBury
  • 81′Johnny MullinsOxford United

Official lineup for Oxford United vs Bury

The starting elevens fielded at kick-off.

Oxford United

  1. 8D. Kitson
  2. 10Deane Smalley
  1. 7Sean Rigg
  2. 11A. Potter
  3. 13David Hunt
  4. 17D. Rose
  1. 3Tom Newey
  2. 6Jake Maxwell Wright
  3. 16A. Whing
  4. 19Johnny Mullins
  1. 1R. Clarke

Bury

  1. 14Shaun Harrad
  1. 6Andrew Procter
  2. 7Craig Steven Jones
  3. 16J. Rooney
  4. 19T. Soares
  1. 2Shaun Anthony Beeley
  2. 3Gareth Roberts
  3. 4R. Hinds
  4. 5N. Cameron
  5. 11E. Holden
  1. 26R. Lainton
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Oxford United have 8 wins, 1 draw and 6 defeats; Bury have 5, 2 and 8.

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

Oxford United
DateOpponentScoreCompetition
Aug 6, 2013Charlton(away)0-4League Cup
Aug 3, 2013Portsmouth(away)4-1League Two
Apr 27, 2013Accrington ST(away)3-0League Two
Apr 20, 2013Rochdale(home)3-0League Two
Apr 13, 2013Dagenham & Redbridge(away)1-0League Two
Bury
DateOpponentScoreCompetition
Aug 6, 2013Crewe(home)3-2League Cup
Aug 3, 2013Chesterfield(home)0-2League Two
Apr 27, 2013Yeovil Town(home)3-2League One
Apr 20, 2013Walsall(away)1-1League One
Apr 16, 2013Scunthorpe(home)2-1League One

How many goals should we expect?

Oxford United score 1.4 and concede 1.2 goals per match over their last 15; Bury score 1.1 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Oxford United1.41.255/158/15
Bury1.11.727/156/15

Over the last 15 matches in all competitions.

A question about Oxford United vs Bury?

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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