Match

Chemelil Sugar vs Sony Sugar: result 2-0 and analysis

FKF Premier LeagueRegular Season - 19Kick-off on July 27, 2014 at 12:00 PM (UTC)Chemelil Sports Complex, Chemelil

Chemelil Sugar
2-0
Sony Sugar

Full time

What was the result of Chemelil Sugar vs Sony Sugar?

Chemelil Sugar won 2-0 on July 27, 2014.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Chemelil Sugar have 6 wins, 6 draws and 3 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
Jul 23, 2014Sofapaka(away)1-1FKF Premier League
Jul 11, 2014Nairobi City Stars(home)0-1FKF Premier League
Jul 4, 2014Bandari(home)0-2FKF Premier League
Jun 15, 2014KCB(home)2-0FKF Premier League
Jun 9, 2014Bandari(away)1-0FKF Premier League
Sony Sugar
DateOpponentScoreCompetition
Jul 18, 2014Muhoroni Youth(away)1-1FKF Premier League
Jul 12, 2014Tusker(home)1-0FKF Premier League
Jul 5, 2014Nakuru AllStars(away)0-0FKF Premier League
Jun 15, 2014Muhoroni Youth(home)2-1FKF Premier League
Jun 7, 2014Ulinzi Stars(away)2-2FKF Premier League

What does the head-to-head say?

Across the last 5 meetings: 3 Chemelil Sugar win(s), 2 draw(s), 0 Sony Sugar win(s).

DateScoreCompetition
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: Sony Sugar vs Chemelil Sugar on Mar 2, 2014

How many goals should we expect?

Chemelil Sugar score 0.7 and concede 0.5 goals per match over their last 15; Sony Sugar score 0.9 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Chemelil Sugar0.70.593/151/15
Sony Sugar0.90.757/152/15

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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