Match

Kagera Sugar vs Mbeya City: result 0-0 and analysis

Ligi kuu BaraRegular Season - 1Kick-off on August 21, 2016 at 12:05 PM (UTC)CCM Kirumba Stadium, Mwanza

Kagera Sugar
0-0
Mbeya City

Full time

What was the result of Kagera Sugar vs Mbeya City?

Kagera Sugar and Mbeya City drew 0-0 on August 21, 2016.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Kagera Sugar have 6 wins, 4 draws and 5 defeats; Mbeya City have 5, 3 and 7.

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

Kagera Sugar
DateOpponentScoreCompetition
May 21, 2016Mwadui(home)2-0Ligi kuu Bara
May 15, 2016Stand United(home)2-1Ligi kuu Bara
May 7, 2016Azam(home)1-2Ligi kuu Bara
Apr 16, 2016Ndanda(away)0-2Ligi kuu Bara
Apr 9, 2016African Sports(away)0-1Ligi kuu Bara
Mbeya City
DateOpponentScoreCompetition
May 21, 2016Ndanda(home)0-0Ligi kuu Bara
May 15, 2016Mwadui(away)1-1Ligi kuu Bara
May 10, 2016Young Africans(home)0-2Ligi kuu Bara
Apr 30, 2016Mtibwa Sugar(away)0-1Ligi kuu Bara
Apr 10, 2016JKT Mgambo(away)1-0Ligi kuu Bara

What does the head-to-head say?

Across the last 2 meetings: 2 Kagera Sugar wins, 0 draws, 0 Mbeya City wins.

DateScoreCompetition
Jan 31, 2016Kagera Sugar 2-0 Mbeya CityLigi kuu Bara
Sep 12, 2015Mbeya City 0-1 Kagera SugarLigi kuu Bara

Last archived meeting: Kagera Sugar vs Mbeya City on Jan 31, 2016

How many goals should we expect?

Kagera Sugar score 1.3 and concede 1.0 goals per match over their last 15; Mbeya City score 1.1 and concede 1.2.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Kagera Sugar1.31.048/155/15
Mbeya City1.11.254/155/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

Kagera Sugar sit 15th in Ligi kuu Bara (5 points from 7 matches) and Mbeya City sit 8th (10 points from 7 matches).

2026-27 standings
#ClubPWDLGFGAPts
8Mbeya City73137710
15Kagera Sugar71248155

A question about Kagera Sugar vs Mbeya City?

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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