Match

Singida United vs Mtibwa Sugar: result 0-3 and analysis

Ligi kuu BaraRegular Season - 23Kick-off on April 6, 2018 at 12:00 PM (UTC)Namfua Football Ground, Singida

Singida United
0-3
Mtibwa Sugar

Full time

What was the result of Singida United vs Mtibwa Sugar?

Mtibwa Sugar won 0-3 on April 6, 2018.

What is the recent form of both teams?

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

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

Singida United
DateOpponentScoreCompetition
Mar 11, 2018Ndanda(home)0-0Ligi kuu Bara
Mar 7, 2018Ruvu Shooting(home)1-1Ligi kuu Bara
Mar 3, 2018Azam(away)0-1Ligi kuu Bara
Feb 17, 2018Kagera Sugar(away)1-1Ligi kuu Bara
Feb 11, 2018Stand United(home)0-1Ligi kuu Bara
Mtibwa Sugar
DateOpponentScoreCompetition
Mar 11, 2018Tanzania Prisons(away)1-2Ligi kuu Bara
Feb 19, 2018Ruvu Shooting(home)1-2Ligi kuu Bara
Feb 11, 2018Mbao(away)0-0Ligi kuu Bara
Feb 7, 2018Mwadui(away)1-3Ligi kuu Bara
Feb 4, 2018Stand United(away)1-2Ligi kuu Bara

What does the head-to-head say?

In the last meeting: 0 Singida United wins, 1 draw, 0 Mtibwa Sugar wins.

DateScoreCompetition
Oct 29, 2017Mtibwa Sugar 0-0 Singida UnitedLigi kuu Bara

Last archived meeting: Mtibwa Sugar vs Singida United on Oct 29, 2017

How many goals should we expect?

Singida United score 1.0 and concede 0.9 goals per match over their last 15; Mtibwa Sugar score 0.7 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Singida United1.00.966/155/15
Mtibwa Sugar0.70.977/155/15

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 Singida United 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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