Match

Sofapaka vs Sony Sugar: result 0-0 and analysis

FKF Premier LeagueRegular Season - 24Kick-off on September 27, 2013 at 02:00 PM (UTC)Kasarani Annex Stadium, Nairobi

Sofapaka
0-0
Sony Sugar

Full time

What was the result of Sofapaka vs Sony Sugar?

Sofapaka and Sony Sugar drew 0-0 on September 27, 2013.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Sofapaka have 7 wins, 4 draws and 4 defeats; Sony Sugar have 4, 8 and 3.

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

Sofapaka
DateOpponentScoreCompetition
Sep 14, 2013Thika United(away)3-2FKF Premier League
Aug 30, 2013Nairobi City Stars(home)3-0FKF Premier League
Aug 18, 2013Homeboyz(away)1-0FKF Premier League
Aug 10, 2013KCB(home)2-0FKF Premier League
Aug 3, 2013Muhoroni Youth(away)0-1FKF Premier League
Sony Sugar
DateOpponentScoreCompetition
Sep 13, 2013Mathare United(away)0-0FKF Premier League
Sep 8, 2013Ulinzi Stars(home)1-0FKF Premier League
Sep 1, 2013GOR Mahia(home)2-2FKF Premier League
Aug 18, 2013Thika United(away)1-0FKF Premier League
Aug 4, 2013Western Stima(away)0-0FKF Premier League

What does the head-to-head say?

Across the last 3 meetings: 2 Sofapaka wins, 1 draw, 0 Sony Sugar wins.

DateScoreCompetition
Apr 7, 2013Sony Sugar 0-2 SofapakaFKF Premier League
Oct 27, 2012Sofapaka 2-2 Sony SugarFKF Premier League
Feb 25, 2012Sony Sugar 0-1 SofapakaFKF Premier League

Last archived meeting: Sony Sugar vs Sofapaka on Apr 7, 2013

How many goals should we expect?

Sofapaka score 1.3 and concede 1.0 goals per match over their last 15; Sony Sugar score 0.7 and concede 0.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sofapaka1.31.057/157/15
Sony Sugar0.70.876/153/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
18Sofapaka3431021195119

A question about Sofapaka vs Sony Sugar?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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