Match

Forest Green vs Carlisle: result 0-1 and analysis

League TwoRegular Season - 23Kick-off on December 23, 2017 at 03:00 PM (UTC)The Bolt New Lawn, Nailsworth, Gloucestershire

Forest Green
0-1
Carlisle

Full time

What was the result of Forest Green vs Carlisle?

Carlisle won 0-1 on December 23, 2017.

Goalscorers

  • 28′R. BennettCarlisle

Official lineup for Forest Green vs Carlisle

The starting elevens fielded at kick-off.

Forest Green

  1. 9C. Doidge
  2. 17D. Wishart
  1. 4D. Traoré
  2. 15C. Cooper
  3. 34I. Osbourne
  1. 2Dale Owen Bennett
  2. 3S. Laird
  3. 5Lee Collins
  4. 7K. Marsh-Brown
  5. 16J. Fitzwater
  1. 1B. Collins

Carlisle

  1. 9H. Hope
  2. 14R. Bennett
  1. 8M. Jones
  2. 11J. Devitt
  3. 19R. Lambe
  1. 3D. Grainger
  2. 5G. Liddle
  3. 6T. Parkes
  4. 17J. Brown
  5. 29C. Hill
  1. 1J. Bonham
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Forest Green have 6 wins, 3 draws and 6 defeats; Carlisle have 5, 6 and 4.

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

Forest Green
DateOpponentScoreCompetition
Dec 16, 2017Luton(home)0-2League Two
Dec 12, 2017Exeter City(away)1-2FA Cup
Dec 9, 2017Grimsby(away)0-1League Two
Dec 5, 2017Swindon Town(away)1-0EFL Trophy
Dec 2, 2017Exeter City(home)3-3FA Cup
Carlisle
DateOpponentScoreCompetition
Dec 19, 2017Gillingham(home)3-1FA Cup
Dec 16, 2017Port Vale(home)1-2League Two
Dec 9, 2017Newport County(away)3-3League Two
Dec 2, 2017Gillingham(away)1-1FA Cup
Nov 25, 2017Morecambe(home)1-1League Two

How many goals should we expect?

Forest Green score 1.2 and concede 1.5 goals per match over their last 15; Carlisle score 1.7 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Forest Green1.21.547/156/15
Carlisle1.71.5310/159/15

Over the last 15 matches in all competitions.

A question about Forest Green vs Carlisle?

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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