Match

Sony Sugar vs Sofapaka: result 1-0 and analysis

FKF Premier LeagueRegular Season - 26Kick-off on October 15, 2016 at 12:00 PM (UTC)Green Stadium, Awendo

Sony Sugar
1-0
Sofapaka

Full time

What was the result of Sony Sugar vs Sofapaka?

Sony Sugar won 1-0 on October 15, 2016.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Sony Sugar have 7 wins, 5 draws and 3 defeats; Sofapaka have 2, 4 and 9.

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

Sony Sugar
DateOpponentScoreCompetition
Sep 25, 2016Thika United(away)1-1FKF Premier League
Sep 11, 2016Mathare United(home)2-1FKF Premier League
Sep 7, 2016Ulinzi Stars(home)0-0FKF Premier League
Aug 20, 2016Chemelil Sugar(away)0-1FKF Premier League
Aug 6, 2016Western Stima(away)3-0FKF Premier League
Sofapaka
DateOpponentScoreCompetition
Sep 25, 2016GOR Mahia(home)0-0FKF Premier League
Sep 11, 2016Ulinzi Stars(away)1-3FKF Premier League
Aug 21, 2016Posta Rangers FC(home)0-1FKF Premier League
Aug 13, 2016KRA(away)2-0FKF Premier League
Aug 7, 2016Nairobi City Stars(home)5-0FKF Premier League

What does the head-to-head say?

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

DateScoreCompetition
May 7, 2016Sofapaka 0-1 Sony SugarFKF Premier League
Sep 12, 2015Sony Sugar 2-0 SofapakaFKF Premier League
May 17, 2015Sofapaka 2-1 Sony SugarFKF Premier League
Oct 5, 2014Sony Sugar 2-2 SofapakaFKF Premier League
Feb 23, 2014Sofapaka 0-1 Sony SugarFKF Premier League
Sep 27, 2013Sofapaka 0-0 Sony SugarFKF Premier League

Last archived meeting: Sofapaka vs Sony Sugar on May 7, 2016

How many goals should we expect?

Sony Sugar score 1.1 and concede 0.6 goals per match over their last 15; Sofapaka score 0.9 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sony Sugar1.10.685/154/15
Sofapaka0.91.146/155/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
18Sofapaka3431021195119

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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