Match

Western Stima vs Sony Sugar: result 0-2 and analysis

FKF Premier LeagueRegular Season - 26Kick-off on April 27, 2019 at 12:00 PM (UTC)Moi Stadium, Kisumu

Western Stima
0-2
Sony Sugar

Full time

What was the result of Western Stima vs Sony Sugar?

Sony Sugar won 0-2 on April 27, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Western Stima have 2 wins, 8 draws and 5 defeats; Sony Sugar have 6, 3 and 6.

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

Western Stima
DateOpponentScoreCompetition
Apr 24, 2019Nzoia Sugar(away)0-0FKF Premier League
Apr 17, 2019Ulinzi Stars(home)0-2FKF Premier League
Apr 14, 2019Bandari(home)1-2FKF Premier League
Apr 11, 2019Kariobangi Sharks(home)0-0FKF Premier League
Apr 3, 2019Tusker(away)1-1FKF Premier League
Sony Sugar
DateOpponentScoreCompetition
Apr 21, 2019Sofapaka(home)0-1FKF Premier League
Apr 18, 2019Tusker(away)0-0FKF Premier League
Apr 10, 2019Mathare United(away)2-1FKF Premier League
Apr 7, 2019Posta Rangers FC(away)2-1FKF Premier League
Apr 3, 2019GOR Mahia(home)2-3FKF Premier League

What does the head-to-head say?

Across the last 6 meetings: 0 Western Stima win(s), 1 draw(s), 5 Sony Sugar win(s).

DateScoreCompetition
Feb 24, 2019Sony Sugar 4-0 Western StimaFKF Premier League
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

Last archived meeting: Sony Sugar vs Western Stima on Feb 24, 2019

How many goals should we expect?

Western Stima score 0.7 and concede 1.2 goals per match over their last 15; Sony Sugar score 1.2 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Western Stima0.71.248/154/15
Sony Sugar1.21.066/156/15

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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