Match

Toto Africans vs Mtibwa Sugar: result 3-2 and analysis

Ligi kuu BaraMatchday 13Kick-off on October 29, 2016 at 12:00 PM (UTC)CCM Kirumba Stadium, Mwanza

Toto Africans
3-2
Mtibwa Sugar

Full time

What was the result of Toto Africans vs Mtibwa Sugar?

Toto Africans won 3-2 on October 29, 2016.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Toto Africans have 2 wins, 2 draws and 11 defeats; Mtibwa Sugar have 5, 6 and 4.

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

Toto Africans
DateOpponentScoreCompetition
Oct 23, 2016Simba(away)0-3Ligi kuu Bara
Oct 19, 2016Young Africans(home)0-2Ligi kuu Bara
Oct 15, 2016Maji Maji(home)1-2Ligi kuu Bara
Oct 12, 2016Mbao(away)1-3Ligi kuu Bara
Oct 7, 2016Kagera Sugar(away)2-0Ligi kuu Bara
Mtibwa Sugar
DateOpponentScoreCompetition
Oct 22, 2016Stand United(home)3-3Ligi kuu Bara
Oct 19, 2016Azam(away)1-1Ligi kuu Bara
Oct 15, 2016Tanzania Prisons(home)0-0Ligi kuu Bara
Oct 12, 2016Young Africans(away)1-3Ligi kuu Bara
Oct 8, 2016Ruvu Stars(away)0-0Ligi kuu Bara

What does the head-to-head say?

Across the last 2 meetings: 0 Toto Africans wins, 1 draw, 1 Mtibwa Sugar win.

DateScoreCompetition
Feb 3, 2016Mtibwa Sugar 2-2 Toto AfricansLigi kuu Bara
Sep 16, 2015Toto Africans 1-2 Mtibwa SugarLigi kuu Bara

Last archived meeting: Mtibwa Sugar vs Toto Africans on Feb 3, 2016

How many goals should we expect?

Toto Africans score 0.4 and concede 1.2 goals per match over their last 15; Mtibwa Sugar score 1.1 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Toto Africans0.41.243/154/15
Mtibwa Sugar1.11.057/154/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
13Mtibwa Sugar276912234127

A question about Toto 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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