Match

Young Africans vs Mtibwa Sugar: result 1-0 and analysis

Ligi kuu BaraRegular Season - 19Kick-off on April 16, 2016 at 01:30 PM (UTC)Benjamin Mkapa National Stadium, Dar-es-Salaam

Young Africans
1-0
Mtibwa Sugar

Full time

What was the result of Young Africans vs Mtibwa Sugar?

Young Africans won 1-0 on April 16, 2016.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Young Africans have 11 wins, 3 draws and 1 defeat; Mtibwa Sugar have 5, 5 and 5.

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

Young Africans
DateOpponentScoreCompetition
Apr 13, 2016Mwadui(home)2-1Ligi kuu Bara
Apr 3, 2016Kagera Sugar(home)3-1Ligi kuu Bara
Mar 8, 2016African Sports(home)5-0Ligi kuu Bara
Mar 5, 2016Azam(away)2-2Ligi kuu Bara
Feb 20, 2016Simba(home)2-0Ligi kuu Bara
Mtibwa Sugar
DateOpponentScoreCompetition
Apr 13, 2016Azam(home)0-1Ligi kuu Bara
Apr 9, 2016Tanzania Prisons(home)1-1Ligi kuu Bara
Apr 2, 2016Mwadui(away)2-1Ligi kuu Bara
Mar 18, 2016Kagera Sugar(away)0-1Ligi kuu Bara
Mar 12, 2016Ruvu Stars(home)2-1Ligi kuu Bara

What does the head-to-head say?

In the last meeting: 1 Young Africans win, 0 draws, 0 Mtibwa Sugar wins.

DateScoreCompetition
Sep 30, 2015Mtibwa Sugar 0-2 Young AfricansLigi kuu Bara

Last archived meeting: Mtibwa Sugar vs Young Africans on Sep 30, 2015

How many goals should we expect?

Young Africans score 2.4 and concede 0.5 goals per match over their last 15; Mtibwa Sugar score 1.0 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Young Africans2.40.5104/159/15
Mtibwa Sugar1.00.755/155/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
2Young Africans760117418

A question about Young Africans vs Mtibwa Sugar?

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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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