Match

Southend vs Forest Green: result 0-1 and analysis

League TwoRegular Season - 14Kick-off on November 24, 2020 at 07:00 PM (UTC)Roots Hall, Southend-on-Sea, Essex

Southend
0-1
Forest Green

Full time

What was the result of Southend vs Forest Green?

Forest Green won 0-1 on November 24, 2020.

Goalscorers

  • 63′J. YoungForest Green

Official lineup for Southend vs Forest Green

The starting elevens fielded at kick-off.

Southend

4-3-3
  1. 21M. Rush
  2. 10B. Goodship
  3. 11Terrell Evieoghene Oluwatoby Egbri
  1. 7J. Olayinka
  2. 27H. Kyprianou
  3. 24J. Demetriou
  1. 2E. Bwomono
  2. 5S. Hobson
  3. 8T. Dieng
  4. 48J. White
  1. 1M. Oxley

Forest Green

3-4-2-1
  1. 4D. Sweeney
  1. 14J. Matt
  2. 17O. Bailey
  1. 8E. Adams
  2. 11N. Cadden
  3. 7C. Winchester
  4. 22U. Godwin-Malife
  1. 2K. Wilson
  2. 15J. Moore-Taylor
  3. 5C. Stokes
  1. 1L. McGee
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Southend have 1 win, 3 draws and 11 defeats; Forest Green have 6, 4 and 5.

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

Southend
DateOpponentScoreCompetition
Nov 14, 2020Walsall(away)1-0League Two
Nov 10, 2020Colchester(away)1-6EFL Trophy
Nov 7, 2020Boreham Wood(away)3-3FA Cup
Nov 3, 2020Bradford(away)0-3League Two
Oct 31, 2020Port Vale(home)0-2League Two
Forest Green
DateOpponentScoreCompetition
Nov 21, 2020Barrow(away)2-2League Two
Nov 14, 2020Mansfield Town(home)1-2League Two
Nov 10, 2020Swindon Town(home)0-1EFL Trophy
Nov 7, 2020Lincoln(away)2-6FA Cup
Nov 3, 2020Leyton Orient(home)2-1League Two

How many goals should we expect?

Southend score 0.7 and concede 2.5 goals per match over their last 15; Forest Green score 1.5 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Southend0.72.516/159/15
Forest Green1.51.349/159/15

Over the last 15 matches in all competitions.

A question about Southend vs Forest Green?

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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