Match

Gorodeya vs Khimik Svetlogorsk: result 3-1 and analysis

1. DivisionRegular Season - 12Kick-off on June 28, 2014 at 03:00 PM (UTC)Stadyen Haradzeya, Haradzeya

Gorodeya
3-1
Khimik Svetlogorsk

Full time

What was the result of Gorodeya vs Khimik Svetlogorsk?

Gorodeya won 3-1 on June 28, 2014.

Goalscorers

  • 15′A. SarokaGorodeya
  • 17′D. LebedevGorodeya
  • 21′Dmitri TurlinKhimik Svetlogorsk
  • 26′D. LebedevGorodeya (pen.)

What is the recent form of both teams?

Over their last 15 matches in all competitions, Gorodeya have 7 wins, 4 draws and 4 defeats; Khimik Svetlogorsk have 7, 6 and 2.

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

Gorodeya
DateOpponentScoreCompetition
Jun 21, 2014Byaroza 2010(away)1-01. Division
Jun 15, 2014Smorgon(home)1-01. Division
Jun 7, 2014Granit(away)0-21. Division
May 31, 2014Slonim(home)1-11. Division
May 24, 2014Zorka-BDU(away)2-01. Division
Khimik Svetlogorsk
DateOpponentScoreCompetition
Jun 21, 2014Sputnik(home)1-11. Division
Jun 15, 2014Lokomotiv Gomel(away)2-11. Division
Jun 7, 2014Smolevichi-Sti(home)2-01. Division
May 31, 2014FC Isloch Minsk R.(away)1-01. Division
May 25, 2014Minsk II(home)1-01. Division

What does the head-to-head say?

Across the last 4 meetings: 2 Gorodeya win(s), 2 draw(s), 0 Khimik Svetlogorsk win(s).

DateScoreCompetition
Oct 5, 2013Khimik Svetlogorsk 0-0 Gorodeya1. Division
Jun 8, 2013Gorodeya 5-3 Khimik Svetlogorsk1. Division
Sep 8, 2012Gorodeya 2-1 Khimik Svetlogorsk1. Division
May 19, 2012Khimik Svetlogorsk 0-0 Gorodeya1. Division

Last archived meeting: Khimik Svetlogorsk vs Gorodeya on Oct 5, 2013

How many goals should we expect?

Gorodeya score 1.7 and concede 0.7 goals per match over their last 15; Khimik Svetlogorsk score 1.2 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Gorodeya1.70.784/154/15
Khimik Svetlogorsk1.20.958/154/15

Over the last 15 matches in all competitions.

How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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