Match

Sofapaka vs Chemelil Sugar: result 2-1 and analysis

FKF Premier LeagueRegular Season - 26Kick-off on October 16, 2013 at 11:00 AM (UTC)Nyayo National Stadium, Nairobi

Sofapaka
2-1
Chemelil Sugar

Full time

What was the result of Sofapaka vs Chemelil Sugar?

Sofapaka won 2-1 on October 16, 2013.

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; Chemelil Sugar have 5, 4 and 6.

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

Sofapaka
DateOpponentScoreCompetition
Oct 6, 2013Karuturi Sports(away)0-0FKF Premier League
Sep 27, 2013Sony Sugar(home)0-0FKF Premier League
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
Chemelil Sugar
DateOpponentScoreCompetition
Oct 7, 2013Thika United(home)2-0FKF Premier League
Sep 28, 2013GOR Mahia(away)0-1FKF Premier League
Sep 14, 2013AFC Leopards(away)3-1FKF Premier League
Aug 31, 2013Western Stima(home)0-0FKF Premier League
Aug 16, 2013KCB(away)0-0FKF Premier League

What does the head-to-head say?

Across the last 3 meetings: 0 Sofapaka wins, 2 draws, 1 Chemelil Sugar win.

DateScoreCompetition
Mar 16, 2013Chemelil Sugar 0-0 SofapakaFKF Premier League
Aug 25, 2012Sofapaka 1-1 Chemelil SugarFKF Premier League
Mar 31, 2012Chemelil Sugar 1-0 SofapakaFKF Premier League

Last archived meeting: Chemelil Sugar vs Sofapaka on Mar 16, 2013

How many goals should we expect?

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

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sofapaka1.10.966/156/15
Chemelil Sugar0.90.854/153/15

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 Chemelil 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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