Match

Mtibwa Sugar vs Maji Maji: result 1-0 and analysis

Ligi kuu BaraRegular Season - 18Kick-off on December 28, 2016 at 01:30 PM (UTC)Manungu Stadium, Turiani

Mtibwa Sugar
1-0
Maji Maji

Full time

What was the result of Mtibwa Sugar vs Maji Maji?

Mtibwa Sugar won 1-0 on December 28, 2016.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Mtibwa Sugar have 6 wins, 6 draws and 3 defeats; Maji Maji have 5, 2 and 8.

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

Mtibwa Sugar
DateOpponentScoreCompetition
Dec 24, 2016Ndanda(away)2-0Ligi kuu Bara
Dec 17, 2016Ruvu Shooting(away)1-1Ligi kuu Bara
Nov 6, 2016Mbeya City(home)1-0Ligi kuu Bara
Nov 3, 2016Mwadui(away)3-2Ligi kuu Bara
Oct 29, 2016Toto Africans(away)2-3Ligi kuu Bara
Maji Maji
DateOpponentScoreCompetition
Dec 24, 2016Azam(home)1-1Ligi kuu Bara
Dec 18, 2016Tanzania Prisons(away)0-1Ligi kuu Bara
Nov 6, 2016Mwadui(away)1-0Ligi kuu Bara
Nov 2, 2016Ruvu Stars(home)1-0Ligi kuu Bara
Oct 29, 2016Mbeya City(away)2-3Ligi kuu Bara

What does the head-to-head say?

Across the last 3 meetings: 2 Mtibwa Sugar wins, 0 draws, 1 Maji Maji win.

DateScoreCompetition
Sep 3, 2016Maji Maji 1-2 Mtibwa SugarLigi kuu Bara
Feb 21, 2016Maji Maji 1-0 Mtibwa SugarLigi kuu Bara
Sep 26, 2015Mtibwa Sugar 1-0 Maji MajiLigi kuu Bara

Last archived meeting: Maji Maji vs Mtibwa Sugar on Sep 3, 2016

How many goals should we expect?

Mtibwa Sugar score 1.3 and concede 1.1 goals per match over their last 15; Maji Maji score 0.9 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Mtibwa Sugar1.31.168/155/15
Maji Maji0.91.446/156/15

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 Mtibwa Sugar vs Maji Maji?

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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