Match

Sony Sugar vs Chemelil Sugar: prediction and stats

FKF Premier LeagueRegular Season - 15Kick-off on December 22, 2019 at 12:00 AM (UTC)Green Stadium, Awendo

Sony SugarChemelil Sugar

Match cancelled

What is the recent form of both teams?

Over their last 15 matches in all competitions, Sony Sugar have 8 wins, 4 draws and 3 defeats; Chemelil Sugar have 1, 1 and 13.

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

Sony Sugar
DateOpponentScoreCompetition
May 29, 2019Chemelil Sugar(away)0-1FKF Premier League
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
Chemelil Sugar
DateOpponentScoreCompetition
Dec 11, 2019Ulinzi Stars(home)1-4FKF Premier League
Dec 7, 2019Western Stima(home)1-2FKF Premier League
Nov 30, 2019Wazito FC(away)0-6FKF Premier League
Nov 24, 2019Mathare United(home)1-4FKF Premier League
Nov 20, 2019KCB(away)0-2FKF Premier League

What does the head-to-head say?

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

DateScoreCompetition
May 29, 2019Chemelil Sugar 1-0 Sony SugarFKF Premier League
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

Last archived meeting: Chemelil Sugar vs Sony Sugar on May 29, 2019

How many goals should we expect?

Sony Sugar score 1.3 and concede 0.7 goals per match over their last 15; Chemelil Sugar score 0.5 and concede 2.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sony Sugar1.30.776/156/15
Chemelil Sugar0.52.716/159/15

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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