Match

AFC Leopards vs Sony Sugar: result 1-0 and analysis

FKF Premier LeagueRegular Season - 4Kick-off on March 19, 2014 at 01:00 PM (UTC)Nyayo National Stadium, Nairobi

AFC Leopards
1-0
Sony Sugar

Full time

What was the result of AFC Leopards vs Sony Sugar?

AFC Leopards won 1-0 on March 19, 2014.

What is the recent form of both teams?

Over their last 15 matches in all competitions, AFC Leopards have 6 wins, 5 draws and 4 defeats; Sony Sugar have 7, 6 and 2.

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

AFC Leopards
DateOpponentScoreCompetition
Mar 16, 2014Sofapaka(away)0-0FKF Premier League
Mar 12, 2014Muhoroni Youth(away)0-1FKF Premier League
Feb 23, 2014Ulinzi Stars(home)0-0FKF Premier League
Feb 19, 2014KCB(away)1-1FKF Premier League
Nov 9, 2013Homeboyz(home)2-1FKF Premier League
Sony Sugar
DateOpponentScoreCompetition
Mar 15, 2014KRA(home)2-0FKF Premier League
Mar 2, 2014Chemelil Sugar(home)0-0FKF Premier League
Feb 23, 2014Sofapaka(away)1-0FKF Premier League
Feb 15, 2014Nakuru AllStars(home)3-0FKF Premier League
Nov 9, 2013Bandari(home)2-0FKF Premier League

What does the head-to-head say?

Across the last 4 meetings: 2 AFC Leopards wins, 2 draws, 0 Sony Sugar wins.

DateScoreCompetition
Oct 30, 2013Sony Sugar 0-1 AFC LeopardsFKF Premier League
Mar 1, 2013AFC Leopards 0-0 Sony SugarFKF Premier League
Jul 7, 2012Sony Sugar 0-1 AFC LeopardsFKF Premier League
Jun 20, 2012AFC Leopards 1-1 Sony SugarFKF Premier League

Last archived meeting: Sony Sugar vs AFC Leopards on Oct 30, 2013

How many goals should we expect?

AFC Leopards score 1.1 and concede 0.9 goals per match over their last 15; Sony Sugar score 1.1 and concede 0.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
AFC Leopards1.10.968/157/15
Sony Sugar1.10.5113/154/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
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A question about AFC Leopards 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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