Match

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

FKF Premier LeagueRegular Season - 31Kick-off on September 22, 2018 at 12:00 PM (UTC)Green Stadium, Awendo

Sony Sugar
1-1
Chemelil Sugar

Full time

What was the result of Sony Sugar vs Chemelil Sugar?

Sony Sugar and Chemelil Sugar drew 1-1 on September 22, 2018.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Sony Sugar have 8 wins, 3 draws and 4 defeats; Chemelil Sugar have 3, 3 and 9.

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

Sony Sugar
DateOpponentScoreCompetition
Sep 16, 2018Vihiga United FC(away)1-1FKF Premier League
Sep 1, 2018Bandari(home)0-1FKF Premier League
Aug 25, 2018Tusker(home)0-0FKF Premier League
Aug 19, 2018Kariobangi Sharks(away)2-0FKF Premier League
Aug 12, 2018Ulinzi Stars(away)1-0FKF Premier League
Chemelil Sugar
DateOpponentScoreCompetition
Sep 15, 2018Mathare United(home)1-0FKF Premier League
Sep 2, 2018Posta Rangers FC(home)0-1FKF Premier League
Aug 29, 2018Tusker(away)0-2FKF Premier League
Aug 25, 2018Ulinzi Stars(home)0-2FKF Premier League
Aug 20, 2018Wazito FC(away)0-0FKF 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
May 26, 2018Chemelil Sugar 0-1 Sony SugarFKF Premier League
Oct 24, 2017Chemelil Sugar 2-2 Sony SugarFKF Premier League
Mar 12, 2017Sony Sugar 0-2 Chemelil SugarFKF Premier League
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

Last archived meeting: Chemelil Sugar vs Sony Sugar on May 26, 2018

How many goals should we expect?

Sony Sugar score 1.2 and concede 0.5 goals per match over their last 15; Chemelil Sugar score 0.2 and concede 0.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sony Sugar1.20.574/152/15
Chemelil Sugar0.20.860/150/15

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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