Match

Mbeya City vs Tanzania Prisons: result 0-0 and analysis

Ligi kuu BaraRegular Season - 5Kick-off on September 17, 2016 at 12:00 PM (UTC)Sokoine Stadium, Mbeya

Mbeya City
0-0
Tanzania Prisons

Full time

What was the result of Mbeya City vs Tanzania Prisons?

Mbeya City and Tanzania Prisons drew 0-0 on September 17, 2016.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Mbeya City have 5 wins, 3 draws and 7 defeats; Tanzania Prisons have 7, 6 and 2.

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

Mbeya City
DateOpponentScoreCompetition
Sep 10, 2016Azam(home)1-2Ligi kuu Bara
Sep 3, 2016Mbao(away)4-1Ligi kuu Bara
Aug 28, 2016Toto Africans(away)1-0Ligi kuu Bara
Aug 21, 2016Kagera Sugar(away)0-0Ligi kuu Bara
May 21, 2016Ndanda(home)0-0Ligi kuu Bara
Tanzania Prisons
DateOpponentScoreCompetition
Sep 10, 2016Toto Africans(home)1-0Ligi kuu Bara
Sep 7, 2016Azam(home)0-1Ligi kuu Bara
Aug 27, 2016Ruvu Shooting(home)1-1Ligi kuu Bara
Aug 20, 2016Maji Maji(away)1-0Ligi kuu Bara
May 21, 2016Coastal Union(away)2-0Ligi kuu Bara

What does the head-to-head say?

Across the last 2 meetings: 0 Mbeya City wins, 1 draw, 1 Tanzania Prisons win.

DateScoreCompetition
Feb 7, 2016Mbeya City 0-0 Tanzania PrisonsLigi kuu Bara
Sep 19, 2015Tanzania Prisons 1-0 Mbeya CityLigi kuu Bara

Last archived meeting: Mbeya City vs Tanzania Prisons on Feb 7, 2016

How many goals should we expect?

Mbeya City score 1.0 and concede 1.1 goals per match over their last 15; Tanzania Prisons score 0.8 and concede 0.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Mbeya City1.01.164/155/15
Tanzania Prisons0.80.494/150/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
9Mbeya City83148910

A question about Mbeya City vs Tanzania Prisons?

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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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