Match

Hamilton Academical vs Queen's Park: result 0-0 and analysis

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

Hamilton Academical
0-0
Queen's Park

Full time

What was the result of Hamilton Academical vs Queen's Park?

Hamilton Academical and Queen's Park drew 0-0 on July 13, 2019.

Official lineup for Hamilton Academical vs Queen's Park

The starting elevens fielded at kick-off.

Hamilton Academical

  1. 8S. Davies
  2. 9G. Oakley
  1. 4C. McKenna
  2. 10B. Alston
  3. 15R. Hughes
  4. 18D. MacKinnon
  1. 3S. McMann
  2. 6Johnny Hunt
  3. 13A. Gogić
  4. 24B. Easton
  1. 1O. Williams

Queen's Park

  1. 9S. Kouider-Aïssa
  1. 7C. McGrory
  2. 8T. Block
  3. 10David Galt
  4. 11J. Purdue
  1. 2B. Mortimer
  2. 3C. Clark
  3. 4C. Little
  4. 5N. Jamieson
  5. 6Lewis Magee
  1. 1W. Muir
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Hamilton Academical have 5 wins, 4 draws and 6 defeats; Queen's Park have 4, 5 and 6.

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

Hamilton Academical
DateOpponentScoreCompetition
May 18, 2019ST Johnstone(home)2-0Premiership
May 13, 2019ST Mirren(away)0-2Premiership
May 4, 2019Dundee(away)1-0Premiership
Apr 27, 2019Livingston(home)3-3Premiership
Apr 20, 2019Motherwell(home)1-1Premiership
Queen's Park
DateOpponentScoreCompetition
May 4, 2019Peterhead(home)0-2League Two
Apr 27, 2019Clyde(away)0-3League Two
Apr 20, 2019Annan Athletic(home)0-3League Two
Apr 13, 2019Berwick Rangers(away)3-0League Two
Apr 6, 2019Albion Rovers(away)4-0League Two

How many goals should we expect?

Hamilton Academical score 0.9 and concede 1.7 goals per match over their last 15; Queen's Park score 1.3 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Hamilton Academical0.91.745/155/15
Queen's Park1.31.347/159/15

Over the last 15 matches in all competitions.

A question about Hamilton Academical vs Queen's Park?

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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