Match

Sony Sugar vs Chemelil Sugar: result 3-1 and analysis

FKF Premier LeagueRegular Season - 9Kick-off on April 25, 2015 at 12:00 PM (UTC)Green Stadium, Awendo

Sony Sugar
3-1
Chemelil Sugar

Full time

What was the result of Sony Sugar vs Chemelil Sugar?

Sony Sugar won 3-1 on April 25, 2015.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Sony Sugar have 5 wins, 6 draws and 4 defeats; Chemelil Sugar have 4, 5 and 6.

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

Sony Sugar
DateOpponentScoreCompetition
Apr 19, 2015Mathare United(away)1-1FKF Premier League
Apr 15, 2015Western Stima(home)0-1FKF Premier League
Apr 11, 2015Bandari(away)1-0FKF Premier League
Apr 5, 2015Nakuru AllStars(away)0-1FKF Premier League
Mar 29, 2015KRA(home)1-0FKF Premier League
Chemelil Sugar
DateOpponentScoreCompetition
Apr 19, 2015Thika United(home)0-1FKF Premier League
Apr 15, 2015Sofapaka(away)0-1FKF Premier League
Apr 11, 2015Nairobi City Stars(home)1-1FKF Premier League
Apr 4, 2015Tusker(home)2-2FKF Premier League
Mar 29, 2015KCB(away)1-0FKF Premier League

What does the head-to-head say?

Across the last 6 meetings: 0 Sony Sugar win(s), 2 draw(s), 4 Chemelil Sugar win(s).

DateScoreCompetition
Jul 27, 2014Chemelil Sugar 2-0 Sony SugarFKF Premier League
Mar 2, 2014Sony Sugar 0-0 Chemelil SugarFKF Premier League
Nov 6, 2013Chemelil Sugar 0-0 Sony SugarFKF Premier League
Mar 9, 2013Sony Sugar 0-2 Chemelil SugarFKF Premier League
Oct 20, 2012Sony Sugar 0-1 Chemelil SugarFKF Premier League
Mar 3, 2012Chemelil Sugar 2-0 Sony SugarFKF Premier League

Last archived meeting: Chemelil Sugar vs Sony Sugar on Jul 27, 2014

How many goals should we expect?

Sony Sugar score 0.8 and concede 0.6 goals per match over their last 15; Chemelil Sugar score 0.8 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sony Sugar0.80.674/151/15
Chemelil Sugar0.81.056/154/15

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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