Match

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

FKF Premier LeagueRegular Season - 34Kick-off on October 24, 2017 at 12:00 PM (UTC)Chemelil Sports Complex, Chemelil

Chemelil Sugar
2-2
Sony Sugar

Full time

What was the result of Chemelil Sugar vs Sony Sugar?

Chemelil Sugar and Sony Sugar drew 2-2 on October 24, 2017.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Chemelil Sugar have 3 wins, 7 draws and 5 defeats; Sony Sugar have 4, 8 and 3.

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

Chemelil Sugar
DateOpponentScoreCompetition
Oct 14, 2017Kariobangi Sharks(away)2-2FKF Premier League
Oct 1, 2017Mathare United(home)1-1FKF Premier League
Sep 24, 2017Bandari(away)1-0FKF Premier League
Sep 17, 2017Nakumatt(home)2-0FKF Premier League
Sep 14, 2017GOR Mahia(home)0-3FKF Premier League
Sony Sugar
DateOpponentScoreCompetition
Oct 15, 2017Nzoia Sugar(home)2-2FKF Premier League
Oct 7, 2017Ulinzi Stars(home)1-1FKF Premier League
Oct 1, 2017Posta Rangers FC(away)0-0FKF Premier League
Sep 17, 2017Western Stima(away)2-1FKF Premier League
Sep 13, 2017AFC Leopards(away)1-0FKF Premier League

What does the head-to-head say?

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

DateScoreCompetition
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
Apr 25, 2015Sony Sugar 3-1 Chemelil SugarFKF Premier League
Jul 27, 2014Chemelil Sugar 2-0 Sony SugarFKF Premier League

Last archived meeting: Sony Sugar vs Chemelil Sugar on Mar 12, 2017

How many goals should we expect?

Chemelil Sugar score 0.7 and concede 1.1 goals per match over their last 15; Sony Sugar score 0.8 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Chemelil Sugar0.71.156/153/15
Sony Sugar0.80.766/153/15

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

Other matches in the same round

Ready to know everything about football?