Match

Young Africans vs Mtibwa Sugar: result 3-1 and analysis

Ligi kuu BaraRegular Season - 9Kick-off on October 12, 2016 at 12:00 PM (UTC)Benjamin Mkapa National Stadium, Dar-es-Salaam

Young Africans
3-1
Mtibwa Sugar

Full time

What was the result of Young Africans vs Mtibwa Sugar?

Young Africans won 3-1 on October 12, 2016.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Young Africans have 10 wins, 4 draws and 1 defeat; Mtibwa Sugar have 6, 4 and 5.

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

Young Africans
DateOpponentScoreCompetition
Oct 1, 2016Simba(home)1-1Ligi kuu Bara
Sep 25, 2016Stand United(away)0-1Ligi kuu Bara
Sep 17, 2016Mwadui(away)2-0Ligi kuu Bara
Sep 10, 2016Maji Maji(home)3-0Ligi kuu Bara
Sep 7, 2016Ndanda(away)0-0Ligi kuu Bara
Mtibwa Sugar
DateOpponentScoreCompetition
Oct 8, 2016Ruvu Stars(away)0-0Ligi kuu Bara
Oct 2, 2016African Lyon(home)1-0Ligi kuu Bara
Sep 24, 2016Mbao(home)1-1Ligi kuu Bara
Sep 17, 2016Kagera Sugar(home)2-0Ligi kuu Bara
Sep 11, 2016Simba(away)0-2Ligi kuu Bara

What does the head-to-head say?

Across the last 2 meetings: 2 Young Africans wins, 0 draws, 0 Mtibwa Sugar wins.

DateScoreCompetition
Apr 16, 2016Young Africans 1-0 Mtibwa SugarLigi kuu Bara
Sep 30, 2015Mtibwa Sugar 0-2 Young AfricansLigi kuu Bara

Last archived meeting: Young Africans vs Mtibwa Sugar on Apr 16, 2016

How many goals should we expect?

Young Africans score 1.9 and concede 0.7 goals per match over their last 15; Mtibwa Sugar score 0.9 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Young Africans1.90.768/159/15
Mtibwa Sugar0.90.755/152/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
2Young Africans971119522

A question about Young Africans vs Mtibwa 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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