Match

Sofapaka vs Sony Sugar: result 2-2 and analysis

FKF Premier LeagueRegular Season - 28Kick-off on October 27, 2012 at 11:00 AM (UTC)Kasarani Annex Stadium, Nairobi

Sofapaka
2-2
Sony Sugar

Full time

What was the result of Sofapaka vs Sony Sugar?

Sofapaka and Sony Sugar drew 2-2 on October 27, 2012.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Sofapaka have 5 wins, 6 draws and 4 defeats; Sony Sugar have 7, 2 and 6.

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

Sofapaka
DateOpponentScoreCompetition
Oct 21, 2012Posta Rangers FC(away)2-0FKF Premier League
Sep 30, 2012Oserian(home)0-0FKF Premier League
Sep 21, 2012Western Stima(home)1-2FKF Premier League
Sep 16, 2012Ulinzi Stars(away)0-1FKF Premier League
Sep 12, 2012Tusker(home)0-0FKF Premier League
Sony Sugar
DateOpponentScoreCompetition
Oct 20, 2012Chemelil Sugar(home)0-1FKF Premier League
Sep 30, 2012Nairobi City Stars(away)1-0FKF Premier League
Sep 23, 2012Thika United(home)3-0FKF Premier League
Sep 9, 2012GOR Mahia(away)0-1FKF Premier League
Aug 25, 2012Western Stima(home)2-0FKF Premier League

What does the head-to-head say?

In the last meeting: 1 Sofapaka win, 0 draws, 0 Sony Sugar wins.

DateScoreCompetition
Feb 25, 2012Sony Sugar 0-1 SofapakaFKF Premier League

Last archived meeting: Sony Sugar vs Sofapaka on Feb 25, 2012

How many goals should we expect?

Sofapaka score 1.1 and concede 0.7 goals per match over their last 15; Sony Sugar score 0.7 and concede 0.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sofapaka1.10.775/154/15
Sony Sugar0.70.581/151/15

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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