Match

Sony Sugar vs GOR Mahia: result 0-1 and analysis

FKF Premier LeagueRegular Season - 11Kick-off on May 4, 2014 at 12:00 PM (UTC)Afraha Stadium, Nakuru

Sony Sugar
0-1
GOR Mahia

Full time

What was the result of Sony Sugar vs GOR Mahia?

GOR Mahia won 0-1 on May 4, 2014.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Sony Sugar have 5 wins, 6 draws and 4 defeats; GOR Mahia have 9, 3 and 3.

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

Sony Sugar
DateOpponentScoreCompetition
Apr 23, 2014Western Stima(away)1-1FKF Premier League
Apr 13, 2014Thika United(home)1-1FKF Premier League
Apr 9, 2014Tusker(away)0-1FKF Premier League
Mar 30, 2014Mathare United(home)0-0FKF Premier League
Mar 23, 2014Nairobi City Stars(away)1-1FKF Premier League
GOR Mahia
DateOpponentScoreCompetition
Apr 23, 2014Muhoroni Youth(home)3-0FKF Premier League
Apr 13, 2014Ulinzi Stars(away)2-1FKF Premier League
Apr 9, 2014KCB(home)3-2FKF Premier League
Mar 30, 2014Bandari(away)1-2FKF Premier League
Mar 26, 2014Tusker(home)1-1FKF Premier League

What does the head-to-head say?

Across the last 4 meetings: 0 Sony Sugar wins, 3 draws, 1 GOR Mahia win.

DateScoreCompetition
Sep 1, 2013Sony Sugar 2-2 GOR MahiaFKF Premier League
Apr 21, 2013GOR Mahia 1-1 Sony SugarFKF Premier League
Sep 9, 2012GOR Mahia 1-0 Sony SugarFKF Premier League
Mar 25, 2012Sony Sugar 0-0 GOR MahiaFKF Premier League

Last archived meeting: Sony Sugar vs GOR Mahia on Sep 1, 2013

How many goals should we expect?

Sony Sugar score 1.1 and concede 0.7 goals per match over their last 15; GOR Mahia score 1.3 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sony Sugar1.10.775/153/15
GOR Mahia1.30.785/155/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
1GOR Mahia3300629

A question about Sony Sugar vs GOR Mahia?

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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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