Match

Sofapaka vs Sony Sugar: prediction and stats

FKF Premier LeagueRegular Season - 13Kick-off on December 8, 2019 at 12:00 AM (UTC)Kenyatta Stadium, Machakos

SofapakaSony Sugar

Match cancelled

What is the recent form of both teams?

Over their last 15 matches in all competitions, Sofapaka have 6 wins, 5 draws and 4 defeats; Sony Sugar have 8, 4 and 3.

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

Sofapaka
DateOpponentScoreCompetition
Dec 1, 2019Western Stima(away)1-1FKF Premier League
Nov 24, 2019Zoo Kericho(home)2-1FKF Premier League
Nov 20, 2019Mathare United(away)1-0FKF Premier League
Nov 10, 2019Wazito FC(home)2-1FKF Premier League
Nov 3, 2019Homeboyz(away)2-2FKF Premier League
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

What does the head-to-head say?

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

DateScoreCompetition
Apr 21, 2019Sony Sugar 0-1 SofapakaFKF Premier League
Jan 19, 2019Sofapaka 0-0 Sony SugarFKF Premier League
Jul 15, 2018Sony Sugar 2-0 SofapakaFKF Premier League
Apr 15, 2018Sofapaka 1-1 Sony SugarFKF Premier League
Nov 5, 2017Sony Sugar 1-0 SofapakaFKF Premier League
Mar 19, 2017Sofapaka 0-1 Sony SugarFKF Premier League

Last archived meeting: Sony Sugar vs Sofapaka on Apr 21, 2019

How many goals should we expect?

Sofapaka score 1.3 and concede 1.0 goals per match over their last 15; Sony Sugar score 1.3 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sofapaka1.31.069/159/15
Sony Sugar1.30.776/156/15

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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