Match

Sputnik vs Khimik Svetlogorsk: result 3-0 and analysis

1. DivisionRegular Season - 26Kick-off on October 25, 2014 at 11:00 AM (UTC)Stadyen DYuSSh-8, Gomel

Sputnik
3-0
Khimik Svetlogorsk

Full time

What was the result of Sputnik vs Khimik Svetlogorsk?

Sputnik won 3-0 on October 25, 2014.

Goalscorers

  • 35′E. BarsukovSputnik
  • 43′M. KolyadkoSputnik
  • 68′M. KolyadkoSputnik

What is the recent form of both teams?

Over their last 15 matches in all competitions, Sputnik have 4 wins, 3 draws and 8 defeats; Khimik Svetlogorsk have 2, 4 and 9.

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

Sputnik
DateOpponentScoreCompetition
Oct 18, 2014Byaroza 2010(away)2-31. Division
Oct 11, 2014Smorgon(home)0-11. Division
Oct 4, 2014Granit(away)0-11. Division
Sep 27, 2014Slonim(home)4-21. Division
Sep 20, 2014Zorka-BDU(away)1-51. Division
Khimik Svetlogorsk
DateOpponentScoreCompetition
Oct 18, 2014Lokomotiv Gomel(home)1-11. Division
Oct 11, 2014Smolevichi-Sti(away)0-21. Division
Oct 4, 2014FC Isloch Minsk R.(home)2-31. Division
Sep 27, 2014Minsk II(away)0-11. Division
Sep 20, 2014FC Vitebsk(home)1-21. Division

What does the head-to-head say?

Across the last 5 meetings: 1 Sputnik win(s), 3 draw(s), 1 Khimik Svetlogorsk win(s).

DateScoreCompetition
Jun 21, 2014Khimik Svetlogorsk 1-1 Sputnik1. Division
Nov 16, 2013Sputnik 1-1 Khimik Svetlogorsk1. Division
Jul 20, 2013Khimik Svetlogorsk 0-1 Sputnik1. Division
Nov 10, 2012Khimik Svetlogorsk 0-0 Sputnik1. Division
Jul 14, 2012Sputnik 0-2 Khimik Svetlogorsk1. Division

Last archived meeting: Khimik Svetlogorsk vs Sputnik on Jun 21, 2014

How many goals should we expect?

Sputnik score 1.0 and concede 1.4 goals per match over their last 15; Khimik Svetlogorsk score 0.9 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sputnik1.01.428/155/15
Khimik Svetlogorsk0.91.547/157/15

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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