Match

Homeboyz vs Sony Sugar: prediction and stats

FKF Premier LeagueRegular Season - 11Kick-off on November 24, 2019 at 12:00 AM (UTC)Bukhungu Stadium, Kakamega

HomeboyzSony Sugar

Match cancelled

What is the recent form of both teams?

Over their last 15 matches in all competitions, Homeboyz have 6 wins, 3 draws and 6 defeats; Sony Sugar have 8, 4 and 3.

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

Homeboyz
DateOpponentScoreCompetition
Nov 21, 2019GOR Mahia(away)0-3FKF Premier League
Nov 10, 2019Western Stima(home)2-0FKF Premier League
Nov 3, 2019Sofapaka(home)2-2FKF Premier League
Oct 26, 2019Chemelil Sugar(away)2-1FKF Premier League
Oct 19, 2019Wazito FC(away)4-2FKF Premier League
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

What does the head-to-head say?

Across the last 6 meetings: 3 Homeboyz wins, 1 draw, 2 Sony Sugar wins.

DateScoreCompetition
May 22, 2019Homeboyz 1-2 Sony SugarFKF Premier League
Jan 2, 2019Sony Sugar 2-1 HomeboyzFKF Premier League
Sep 26, 2018Homeboyz 1-0 Sony SugarFKF Premier League
May 5, 2018Sony Sugar 0-0 HomeboyzFKF Premier League
Sep 6, 2017Homeboyz 1-0 Sony SugarFKF Premier League
Jul 2, 2017Sony Sugar 0-1 HomeboyzFKF Premier League

Last archived meeting: Homeboyz vs Sony Sugar on May 22, 2019

How many goals should we expect?

Homeboyz score 1.5 and concede 1.4 goals per match over their last 15; Sony Sugar score 1.3 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Homeboyz1.51.458/159/15
Sony Sugar1.30.776/156/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
3Homeboyz1100103

A question about Homeboyz 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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