Match

Sony Sugar vs Sofapaka: result 0-2 and analysis

FKF Premier LeagueRegular Season - 7Kick-off on April 7, 2013 at 12:00 PM (UTC)Green Stadium, Awendo

Sony Sugar
0-2
Sofapaka

Full time

What was the result of Sony Sugar vs Sofapaka?

Sofapaka won 0-2 on April 7, 2013.

What is the recent form of both teams?

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

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

Sony Sugar
DateOpponentScoreCompetition
Mar 30, 2013Nairobi City Stars(away)1-2FKF Premier League
Mar 23, 2013Bandari(away)0-3FKF Premier League
Mar 16, 2013KCB(home)1-1FKF Premier League
Mar 9, 2013Chemelil Sugar(home)0-2FKF Premier League
Mar 1, 2013AFC Leopards(away)0-0FKF Premier League
Sofapaka
DateOpponentScoreCompetition
Mar 31, 2013Karuturi Sports(home)4-2FKF Premier League
Mar 27, 2013Mathare United(home)1-1FKF Premier League
Mar 16, 2013Chemelil Sugar(away)0-0FKF Premier League
Mar 9, 2013GOR Mahia(home)0-1FKF Premier League
Mar 1, 2013Ulinzi Stars(away)0-0FKF Premier League

What does the head-to-head say?

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

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

Last archived meeting: Sofapaka vs Sony Sugar on Oct 27, 2012

How many goals should we expect?

Sony Sugar score 0.8 and concede 1.1 goals per match over their last 15; Sofapaka score 1.0 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sony Sugar0.81.164/155/15
Sofapaka1.00.967/155/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
18Sofapaka3431021195119

A question about Sony Sugar vs Sofapaka?

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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