Match

Mbeya Kwanza vs Mtibwa Sugar: result 1-2 and analysis

Ligi kuu BaraRegular Season - 16Kick-off on February 26, 2022 at 01:00 PM (UTC)Sokoine Stadium, Mbeya

Mbeya Kwanza
1-2
Mtibwa Sugar

Full time

What was the result of Mbeya Kwanza vs Mtibwa Sugar?

Mtibwa Sugar won 1-2 on February 26, 2022.

Goalscorers

  • 37′?Mtibwa Sugar
  • 42′?Mbeya Kwanza (pen.)
  • 74′?Mtibwa Sugar

What is the recent form of both teams?

Over their last 15 matches in all competitions, Mbeya Kwanza have 2 wins, 7 draws and 6 defeats; Mtibwa Sugar have 2, 6 and 7.

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

Mbeya Kwanza
DateOpponentScoreCompetition
Feb 6, 2022Simba(away)0-1Ligi kuu Bara
Feb 3, 2022Ruvu Shooting(away)1-1Ligi kuu Bara
Jan 21, 2022KMC(home)1-1Ligi kuu Bara
Jan 18, 2022Azam(home)0-1Ligi kuu Bara
Dec 27, 2021Geita Gold(away)1-1Ligi kuu Bara
Mtibwa Sugar
DateOpponentScoreCompetition
Feb 23, 2022Young Africans(home)0-2Ligi kuu Bara
Feb 6, 2022Namungo(away)1-3Ligi kuu Bara
Jan 22, 2022Simba(home)0-0Ligi kuu Bara
Jan 14, 2022Ruvu Shooting(away)1-1Ligi kuu Bara
Dec 28, 2021Coastal Union(away)1-0Ligi kuu Bara

What does the head-to-head say?

In the last meeting: 1 Mbeya Kwanza win, 0 draws, 0 Mtibwa Sugar wins.

DateScoreCompetition
Sep 27, 2021Mtibwa Sugar 0-1 Mbeya KwanzaLigi kuu Bara

Last archived meeting: Mtibwa Sugar vs Mbeya Kwanza on Sep 27, 2021

How many goals should we expect?

Mbeya Kwanza score 0.9 and concede 1.1 goals per match over their last 15; Mtibwa Sugar score 0.5 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Mbeya Kwanza0.91.138/154/15
Mtibwa Sugar0.51.055/152/15

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 Mbeya Kwanza 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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