Match

Chemelil Sugar vs Sony Sugar: result 1-0 and analysis

FKF Premier LeagueRegular Season - 34Kick-off on May 29, 2019 at 11:00 AM (UTC)Chemelil Sports Complex, Chemelil

Chemelil Sugar
1-0
Sony Sugar

Full time

What was the result of Chemelil Sugar vs Sony Sugar?

Chemelil Sugar won 1-0 on May 29, 2019.

Goalscorers

  • 69′?Chemelil Sugar

What is the recent form of both teams?

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

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

Chemelil Sugar
DateOpponentScoreCompetition
May 25, 2019Mathare United(home)0-1FKF Premier League
May 22, 2019Sofapaka(away)0-0FKF Premier League
May 19, 2019Ulinzi Stars(home)0-0FKF Premier League
May 14, 2019Bandari(away)1-3FKF Premier League
May 8, 2019GOR Mahia(home)0-2FKF Premier League
Sony Sugar
DateOpponentScoreCompetition
May 25, 2019Nzoia Sugar(home)0-0FKF Premier League
May 22, 2019Homeboyz(away)2-1FKF Premier League
May 18, 2019Nakumatt(away)3-1FKF Premier League
May 15, 2019Kariobangi Sharks(home)2-0FKF Premier League
May 12, 2019AFC Leopards(home)0-0FKF Premier League

What does the head-to-head say?

Across the last 6 meetings: 2 Chemelil Sugar win(s), 3 draw(s), 1 Sony Sugar win(s).

DateScoreCompetition
Feb 11, 2019Sony Sugar 0-0 Chemelil SugarFKF Premier League
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

Last archived meeting: Sony Sugar vs Chemelil Sugar on Feb 11, 2019

How many goals should we expect?

Chemelil Sugar score 0.9 and concede 1.5 goals per match over their last 15; Sony Sugar score 1.4 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Chemelil Sugar0.91.547/157/15
Sony Sugar1.40.777/157/15

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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