Match

Sofapaka vs Tusker: result 0-0 and analysis

FKF Premier LeagueRegular Season - 19Kick-off on September 12, 2012 at 04:00 PM (UTC)Nyayo National Stadium, Nairobi

Sofapaka
0-0
Tusker

Full time

What was the result of Sofapaka vs Tusker?

Sofapaka and Tusker drew 0-0 on September 12, 2012.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Sofapaka have 6 wins, 4 draws and 5 defeats; Tusker have 8, 5 and 2.

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

Sofapaka
DateOpponentScoreCompetition
Aug 25, 2012Chemelil Sugar(home)1-1FKF Premier League
Aug 18, 2012Nairobi City Stars(away)0-0FKF Premier League
Aug 13, 2012GOR Mahia(home)0-0FKF Premier League
Jul 28, 2012Thika United(away)4-1FKF Premier League
Jul 11, 2012Mathare United(away)0-2FKF Premier League
Tusker
DateOpponentScoreCompetition
Sep 7, 2012AFC Leopards(home)0-0FKF Premier League
Aug 27, 2012Ulinzi Stars(home)0-0FKF Premier League
Aug 18, 2012Sony Sugar(home)1-0FKF Premier League
Aug 14, 2012Mathare United(away)0-1FKF Premier League
Jul 7, 2012Chemelil Sugar(away)1-1FKF Premier League

What does the head-to-head say?

In the last meeting: 1 Sofapaka win, 0 draws, 0 Tusker wins.

DateScoreCompetition
Apr 30, 2012Tusker 0-1 SofapakaFKF Premier League

Last archived meeting: Tusker vs Sofapaka on Apr 30, 2012

How many goals should we expect?

Sofapaka score 1.1 and concede 0.7 goals per match over their last 15; Tusker score 1.3 and concede 0.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sofapaka1.10.764/153/15
Tusker1.30.594/153/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
2Tusker1100203

A question about Sofapaka 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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