Match

Huddersfield vs Brighton: result 1-2 and analysis

ChampionshipRegular Season - 17Kick-off on November 17, 2012 at 03:00 PM (UTC)John Smith's Stadium, Huddersfield, West Yorkshire

Huddersfield
1-2
Brighton

Full time

What was the result of Huddersfield vs Brighton?

Brighton won 1-2 on November 17, 2012.

Goalscorers

  • 5′Will BuckleyBrighton
  • 40′Will BuckleyBrighton
  • 90′Simon ChurchHuddersfield

Official lineup for Huddersfield vs Brighton

The starting elevens fielded at kick-off.

Huddersfield

  1. 9Lee Novak
  2. 11D. Ward
  3. 20Simon Church
  1. 4O. Norwood
  2. 8A. Clayton
  3. 24K. Southern
  1. 3P. Dixon
  2. 5P. Clarke
  3. 32J. Hunt
  4. 33J. Lynch
  1. 1A. Smithies

Brighton

  1. 9A. Barnes
  2. 12C. Mackail-Smith
  1. 4Dean Hammond
  2. 11Andrea Orlandi Stabilin
  3. 26L. Bridcutt
  4. 30Will Buckley
  1. 2Bruno Saltor
  2. 3G. Greer
  3. 5L. Dunk
  4. 22Marcos Painter
  1. 29Tomasz Kuszczak
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Huddersfield have 8 wins, 3 draws and 4 defeats; Brighton have 6, 6 and 3.

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

Huddersfield
DateOpponentScoreCompetition
Nov 10, 2012Barnsley(away)1-0Championship
Nov 6, 2012Blackburn(home)2-2Championship
Nov 3, 2012Bristol City(home)1-0Championship
Oct 27, 2012Millwall(away)0-4Championship
Oct 23, 2012Peterborough(away)1-3Championship
Brighton
DateOpponentScoreCompetition
Nov 10, 2012Wolves(away)3-3Championship
Nov 6, 2012Peterborough(home)1-0Championship
Nov 2, 2012Leeds(home)2-2Championship
Oct 27, 2012Blackpool(away)1-1Championship
Oct 23, 2012Leicester(away)0-1Championship

How many goals should we expect?

Huddersfield score 1.5 and concede 1.3 goals per match over their last 15; Brighton score 1.5 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Huddersfield1.51.358/158/15
Brighton1.50.957/156/15

Over the last 15 matches in all competitions.

A question about Huddersfield vs Brighton?

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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