Match

Sony Sugar vs Tusker: result 1-0 and analysis

FKF Premier LeagueRegular Season - 17Kick-off on July 12, 2014 at 12:00 PM (UTC)Green Stadium, Awendo

Sony Sugar
1-0
Tusker

Full time

What was the result of Sony Sugar vs Tusker?

Sony Sugar won 1-0 on July 12, 2014.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Sony Sugar have 4 wins, 8 draws and 3 defeats; Tusker have 9, 3 and 3.

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

Sony Sugar
DateOpponentScoreCompetition
Jul 5, 2014Nakuru AllStars(away)0-0FKF Premier League
Jun 15, 2014Muhoroni Youth(home)2-1FKF Premier League
Jun 7, 2014Ulinzi Stars(away)2-2FKF Premier League
May 24, 2014KCB(home)1-0FKF Premier League
May 11, 2014Bandari(away)1-1FKF Premier League
Tusker
DateOpponentScoreCompetition
Jul 6, 2014Western Stima(away)1-0FKF Premier League
Jul 2, 2014Nakuru AllStars(away)1-1FKF Premier League
Jun 8, 2014Mathare United(home)3-0FKF Premier League
May 21, 2014Nairobi City Stars(away)1-0FKF Premier League
May 11, 2014KRA(home)3-1FKF Premier League

What does the head-to-head say?

Across the last 5 meetings: 2 Sony Sugar wins, 0 draws, 3 Tusker wins.

DateScoreCompetition
Apr 9, 2014Tusker 1-0 Sony SugarFKF Premier League
Nov 2, 2013Tusker 2-3 Sony SugarFKF Premier League
Apr 14, 2013Sony Sugar 1-0 TuskerFKF Premier League
Aug 18, 2012Tusker 1-0 Sony SugarFKF Premier League
Apr 8, 2012Sony Sugar 0-1 TuskerFKF Premier League

Last archived meeting: Tusker vs Sony Sugar on Apr 9, 2014

How many goals should we expect?

Sony Sugar score 0.8 and concede 0.7 goals per match over their last 15; Tusker score 1.5 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sony Sugar0.80.766/152/15
Tusker1.50.949/157/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
2Tusker1100203

A question about Sony Sugar vs Tusker?

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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