Match

Western Stima vs Chemelil Sugar: result 1-1 and analysis

FKF Premier LeagueRegular Season - 12Kick-off on May 10, 2014 at 12:00 PM (UTC)Afraha Stadium, Nakuru

Western Stima
1-1
Chemelil Sugar

Full time

What was the result of Western Stima vs Chemelil Sugar?

Western Stima and Chemelil Sugar drew 1-1 on May 10, 2014.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Western Stima have 4 wins, 6 draws and 5 defeats; Chemelil Sugar have 5, 9 and 1.

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

Western Stima
DateOpponentScoreCompetition
May 4, 2014Sofapaka(away)3-3FKF Premier League
Apr 23, 2014Sony Sugar(home)1-1FKF Premier League
Apr 13, 2014Muhoroni Youth(away)0-1FKF Premier League
Apr 9, 2014Ulinzi Stars(home)0-1FKF Premier League
Mar 29, 2014KCB(away)3-0FKF Premier League
Chemelil Sugar
DateOpponentScoreCompetition
May 3, 2014Thika United(home)2-1FKF Premier League
Apr 23, 2014Tusker(away)1-0FKF Premier League
Apr 12, 2014Mathare United(home)0-0FKF Premier League
Apr 9, 2014Nairobi City Stars(away)0-0FKF Premier League
Mar 29, 2014KRA(home)0-0FKF Premier League

What does the head-to-head say?

Across the last 4 meetings: 3 Western Stima win(s), 1 draw(s), 0 Chemelil Sugar win(s).

DateScoreCompetition
Aug 31, 2013Chemelil Sugar 0-0 Western StimaFKF Premier League
Apr 21, 2013Western Stima 1-0 Chemelil SugarFKF Premier League
Jul 21, 2012Western Stima 2-1 Chemelil SugarFKF Premier League
Apr 29, 2012Chemelil Sugar 0-1 Western StimaFKF Premier League

Last archived meeting: Chemelil Sugar vs Western Stima on Aug 31, 2013

How many goals should we expect?

Western Stima score 1.1 and concede 1.2 goals per match over their last 15; Chemelil Sugar score 0.7 and concede 0.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Western Stima1.11.238/156/15
Chemelil Sugar0.70.4104/152/15

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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