Match

Ndanda vs Mtibwa Sugar: result 0-1 and analysis

Ligi kuu BaraRegular Season - 5Kick-off on October 19, 2019 at 01:00 PM (UTC)Nangwanda Sijaona Stadium, Mtwara

Ndanda
0-1
Mtibwa Sugar

Full time

What was the result of Ndanda vs Mtibwa Sugar?

Mtibwa Sugar won 0-1 on October 19, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Ndanda have 3 wins, 4 draws and 8 defeats; Mtibwa Sugar have 3, 5 and 7.

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

Ndanda
DateOpponentScoreCompetition
Oct 2, 2019Azam(away)0-2Ligi kuu Bara
Sep 29, 2019KMC(away)1-1Ligi kuu Bara
Sep 15, 2019Mwadui(home)0-0Ligi kuu Bara
Aug 24, 2019Namungo(away)1-2Ligi kuu Bara
May 28, 2019Mwadui(home)1-3Ligi kuu Bara
Mtibwa Sugar
DateOpponentScoreCompetition
Sep 29, 2019Mbeya City(home)1-1Ligi kuu Bara
Sep 25, 2019Tanzania Prisons(home)1-3Ligi kuu Bara
Sep 21, 2019JKT Tanzania(away)0-0Ligi kuu Bara
Sep 13, 2019Simba(away)1-2Ligi kuu Bara
Aug 25, 2019Lipuli(away)1-3Ligi kuu Bara

What does the head-to-head say?

Across the last 6 meetings: 0 Ndanda wins, 2 draws, 4 Mtibwa Sugar wins.

DateScoreCompetition
Apr 12, 2018Mtibwa Sugar 1-0 NdandaLigi kuu Bara
Nov 4, 2017Ndanda 0-0 Mtibwa SugarLigi kuu Bara
Dec 24, 2016Ndanda 0-2 Mtibwa SugarLigi kuu Bara
Aug 27, 2016Mtibwa Sugar 2-1 NdandaLigi kuu Bara
Feb 7, 2016Ndanda 1-1 Mtibwa SugarLigi kuu Bara
Sep 20, 2015Mtibwa Sugar 2-1 NdandaLigi kuu Bara

Last archived meeting: Mtibwa Sugar vs Ndanda on Apr 12, 2018

How many goals should we expect?

Ndanda score 0.8 and concede 1.2 goals per match over their last 15; Mtibwa Sugar score 0.5 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Ndanda0.81.246/155/15
Mtibwa Sugar0.50.975/154/15

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 Ndanda 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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