Match

Sony Sugar vs Chemelil Sugar: result 0-2 and analysis

FKF Premier LeagueRegular Season - 1Kick-off on March 12, 2017 at 12:00 PM (UTC)Green Stadium, Awendo

Sony Sugar
0-2
Chemelil Sugar

Full time

What was the result of Sony Sugar vs Chemelil Sugar?

Chemelil Sugar won 0-2 on March 12, 2017.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Sony Sugar have 5 wins, 5 draws and 5 defeats; Chemelil Sugar have 8, 4 and 3.

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

Sony Sugar
DateOpponentScoreCompetition
Nov 19, 2016Nairobi City Stars(away)2-1FKF Premier League
Nov 5, 2016Posta Rangers FC(home)1-2FKF Premier League
Oct 29, 2016Tusker(home)0-1FKF Premier League
Oct 22, 2016Homeboyz(away)0-0FKF Premier League
Oct 15, 2016Sofapaka(home)1-0FKF Premier League
Chemelil Sugar
DateOpponentScoreCompetition
Nov 19, 2016Mathare United(home)1-1FKF Premier League
Nov 5, 2016Thika United(away)0-1FKF Premier League
Oct 29, 2016Western Stima(away)1-1FKF Premier League
Oct 23, 2016Posta Rangers FC(home)1-1FKF Premier League
Oct 15, 2016KRA(away)2-1FKF Premier League

What does the head-to-head say?

Across the last 6 meetings: 2 Sony Sugar win(s), 2 draw(s), 2 Chemelil Sugar win(s).

DateScoreCompetition
Aug 20, 2016Chemelil Sugar 1-0 Sony SugarFKF Premier League
Apr 16, 2016Sony Sugar 1-0 Chemelil SugarFKF Premier League
Aug 16, 2015Chemelil Sugar 0-0 Sony SugarFKF Premier League
Apr 25, 2015Sony Sugar 3-1 Chemelil SugarFKF Premier League
Jul 27, 2014Chemelil Sugar 2-0 Sony SugarFKF Premier League
Mar 2, 2014Sony Sugar 0-0 Chemelil SugarFKF Premier League

Last archived meeting: Chemelil Sugar vs Sony Sugar on Aug 20, 2016

How many goals should we expect?

Sony Sugar score 0.9 and concede 0.8 goals per match over their last 15; Chemelil Sugar score 1.1 and concede 0.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sony Sugar0.90.866/156/15
Chemelil Sugar1.10.867/154/15

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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