Match

Sofapaka vs Sony Sugar: result 0-1 and analysis

FKF Premier LeagueRegular Season - 2Kick-off on February 23, 2014 at 11:00 AM (UTC)Kenyatta Stadium, Machakos

Sofapaka
0-1
Sony Sugar

Full time

What was the result of Sofapaka vs Sony Sugar?

Sony Sugar won 0-1 on February 23, 2014.

What is the recent form of both teams?

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

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

Sofapaka
DateOpponentScoreCompetition
Feb 15, 2014Muhoroni Youth(away)5-1FKF Premier League
Nov 9, 2013Mathare United(away)2-1FKF Premier League
Nov 3, 2013Western Stima(away)0-0FKF Premier League
Oct 28, 2013Ulinzi Stars(home)3-0FKF Premier League
Oct 23, 2013GOR Mahia(away)0-1FKF Premier League
Sony Sugar
DateOpponentScoreCompetition
Feb 15, 2014Nakuru AllStars(home)3-0FKF Premier League
Nov 9, 2013Bandari(home)2-0FKF Premier League
Nov 6, 2013Chemelil Sugar(away)0-0FKF Premier League
Nov 2, 2013Tusker(away)3-2FKF Premier League
Oct 30, 2013AFC Leopards(home)0-1FKF Premier League

What does the head-to-head say?

Across the last 4 meetings: 2 Sofapaka wins, 2 draws, 0 Sony Sugar wins.

DateScoreCompetition
Sep 27, 2013Sofapaka 0-0 Sony SugarFKF Premier League
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: Sofapaka vs Sony Sugar on Sep 27, 2013

How many goals should we expect?

Sofapaka score 1.6 and concede 0.7 goals per match over their last 15; Sony Sugar score 0.9 and concede 0.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sofapaka1.60.775/157/15
Sony Sugar0.90.6103/154/15

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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