Match

Kagera Sugar vs Tanzania Prisons: result 2-0 and analysis

Ligi kuu BaraRegular Season - 7Kick-off on October 2, 2016 at 12:00 PM (UTC)Kaitaba Stadium, Bukoba

Kagera Sugar
2-0
Tanzania Prisons

Full time

What was the result of Kagera Sugar vs Tanzania Prisons?

Kagera Sugar won 2-0 on October 2, 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; Tanzania Prisons have 6, 7 and 2.

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

Kagera Sugar
DateOpponentScoreCompetition
Sep 25, 2016African Lyon(away)2-0Ligi kuu Bara
Sep 17, 2016Mtibwa Sugar(away)0-2Ligi kuu Bara
Sep 10, 2016Ndanda(away)0-0Ligi kuu Bara
Sep 3, 2016Mwadui(home)1-0Ligi kuu Bara
Aug 27, 2016Stand United(home)0-0Ligi kuu Bara
Tanzania Prisons
DateOpponentScoreCompetition
Sep 24, 2016Mwadui(home)0-0Ligi kuu Bara
Sep 17, 2016Mbeya City(away)0-0Ligi kuu Bara
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

What does the head-to-head say?

Across the last 2 meetings: 0 Kagera Sugar wins, 1 draw, 1 Tanzania Prisons win.

DateScoreCompetition
Mar 9, 2016Tanzania Prisons 1-1 Kagera SugarLigi kuu Bara
Oct 4, 2015Kagera Sugar 0-3 Tanzania PrisonsLigi kuu Bara

Last archived meeting: Tanzania Prisons vs Kagera Sugar on Mar 9, 2016

How many goals should we expect?

Kagera Sugar score 1.0 and concede 0.8 goals per match over their last 15; Tanzania Prisons score 0.7 and concede 0.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Kagera Sugar1.00.884/154/15
Tanzania Prisons0.70.494/150/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
15Kagera Sugar91359176

A question about Kagera Sugar 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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