Match

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

FKF Premier LeagueRegular Season - 13Kick-off on February 11, 2019 at 12:00 PM (UTC)Green Stadium, Awendo

Sony Sugar
0-0
Chemelil Sugar

Full time

What was the result of Sony Sugar vs Chemelil Sugar?

Sony Sugar and Chemelil Sugar drew 0-0 on February 11, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Sony Sugar have 6 wins, 3 draws and 6 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
Feb 7, 2019Mathare United(home)1-1FKF Premier League
Feb 3, 2019Nzoia Sugar(away)2-3FKF Premier League
Jan 30, 2019GOR Mahia(away)0-2FKF Premier League
Jan 27, 2019Posta Rangers FC(home)1-0FKF Premier League
Jan 19, 2019Sofapaka(away)0-0FKF Premier League
Chemelil Sugar
DateOpponentScoreCompetition
Feb 7, 2019Homeboyz(home)0-0FKF Premier League
Feb 2, 2019Ulinzi Stars(away)1-1FKF Premier League
Jan 23, 2019Tusker(away)1-2FKF Premier League
Jan 17, 2019AFC Leopards(home)1-2FKF Premier League
Jan 13, 2019Posta Rangers FC(away)2-0FKF 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
Sep 22, 2018Sony Sugar 1-1 Chemelil SugarFKF Premier League
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

Last archived meeting: Sony Sugar vs Chemelil Sugar on Sep 22, 2018

How many goals should we expect?

Sony Sugar score 1.1 and concede 1.1 goals per match over their last 15; Chemelil Sugar score 0.9 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sony Sugar1.11.157/156/15
Chemelil Sugar0.91.056/152/15

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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