Match

Sony Sugar vs Tusker: prediction and stats

FKF Premier LeagueRegular Season - 20Kick-off on February 15, 2020 at 12:00 AM (UTC)Green Stadium, Awendo

Sony SugarTusker

Match cancelled

What is the recent form of both teams?

Over their last 15 matches in all competitions, Sony Sugar have 8 wins, 4 draws and 3 defeats; Tusker have 10, 4 and 1.

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

Sony Sugar
DateOpponentScoreCompetition
May 29, 2019Chemelil Sugar(away)0-1FKF Premier League
May 25, 2019Nzoia Sugar(home)0-0FKF Premier League
May 22, 2019Homeboyz(away)2-1FKF Premier League
May 18, 2019Nakumatt(away)3-1FKF Premier League
May 15, 2019Kariobangi Sharks(home)2-0FKF Premier League
Tusker
DateOpponentScoreCompetition
Feb 9, 2020AFC Leopards(away)1-0FKF Premier League
Jan 26, 2020Ulinzi Stars(home)1-1FKF Premier League
Jan 12, 2020Bandari(away)2-1FKF Premier League
Jan 8, 2020Kisumu All Stars(home)2-0FKF Premier League
Jan 4, 2020Chemelil Sugar(away)7-0FKF Premier League

What does the head-to-head say?

Across the last 6 meetings: 1 Sony Sugar win, 3 draws, 2 Tusker wins.

DateScoreCompetition
Apr 18, 2019Tusker 0-0 Sony SugarFKF Premier League
Dec 9, 2018Sony Sugar 1-1 TuskerFKF Premier League
Aug 25, 2018Sony Sugar 0-0 TuskerFKF Premier League
Apr 29, 2018Tusker 3-2 Sony SugarFKF Premier League
Sep 10, 2017Sony Sugar 2-0 TuskerFKF Premier League
May 14, 2017Tusker 2-1 Sony SugarFKF Premier League

Last archived meeting: Tusker vs Sony Sugar on Apr 18, 2019

How many goals should we expect?

Sony Sugar score 1.3 and concede 0.7 goals per match over their last 15; Tusker score 1.9 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sony Sugar1.30.776/156/15
Tusker1.90.777/156/15

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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