Match

Sony Sugar vs Western Stima: result 4-0 and analysis

FKF Premier LeagueRegular Season - 15Kick-off on February 24, 2019 at 12:00 PM (UTC)Green Stadium, Awendo

Sony Sugar
4-0
Western Stima

Full time

What was the result of Sony Sugar vs Western Stima?

Sony Sugar won 4-0 on February 24, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Sony Sugar have 6 wins, 4 draws and 5 defeats; Western Stima have 7, 7 and 1.

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

Sony Sugar
DateOpponentScoreCompetition
Feb 17, 2019KCB(away)1-0FKF Premier League
Feb 11, 2019Chemelil Sugar(home)0-0FKF Premier League
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
Western Stima
DateOpponentScoreCompetition
Feb 20, 2019GOR Mahia(away)1-1FKF Premier League
Feb 17, 2019Nakumatt(home)2-1FKF Premier League
Feb 11, 2019Ulinzi Stars(away)1-1FKF Premier League
Feb 6, 2019Zoo Kericho(home)1-0FKF Premier League
Jan 23, 2019KCB(home)0-0FKF Premier League

What does the head-to-head say?

Across the last 6 meetings: 4 Sony Sugar win(s), 1 draw(s), 1 Western Stima win(s).

DateScoreCompetition
Sep 17, 2017Western Stima 1-2 Sony SugarFKF Premier League
May 21, 2017Sony Sugar 2-0 Western StimaFKF Premier League
Aug 6, 2016Western Stima 0-3 Sony SugarFKF Premier League
Apr 3, 2016Sony Sugar 0-0 Western StimaFKF Premier League
Aug 1, 2015Western Stima 0-2 Sony SugarFKF Premier League
Apr 15, 2015Sony Sugar 0-1 Western StimaFKF Premier League

Last archived meeting: Western Stima vs Sony Sugar on Sep 17, 2017

How many goals should we expect?

Sony Sugar score 1.1 and concede 1.0 goals per match over their last 15; Western Stima score 1.3 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sony Sugar1.11.067/156/15
Western Stima1.30.9510/155/15

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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