Match

Kagera Sugar vs Azam: result 2-3 and analysis

Ligi kuu BaraRegular Season - 13Kick-off on October 28, 2016 at 12:00 PM (UTC)Kaitaba Stadium, Bukoba

Kagera Sugar
2-3
Azam

Full time

What was the result of Kagera Sugar vs Azam?

Azam won 2-3 on October 28, 2016.

What is the recent form of both teams?

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

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

Kagera Sugar
DateOpponentScoreCompetition
Oct 22, 2016Young Africans(home)2-6Ligi kuu Bara
Oct 20, 2016Ruvu Stars(away)1-0Ligi kuu Bara
Oct 15, 2016Simba(away)0-2Ligi kuu Bara
Oct 12, 2016Maji Maji(away)1-0Ligi kuu Bara
Oct 7, 2016Toto Africans(home)0-2Ligi kuu Bara
Azam
DateOpponentScoreCompetition
Oct 22, 2016Ruvu Stars(home)1-0Ligi kuu Bara
Oct 19, 2016Mtibwa Sugar(home)1-1Ligi kuu Bara
Oct 16, 2016Young Africans(home)0-0Ligi kuu Bara
Oct 12, 2016Stand United(away)0-1Ligi kuu Bara
Oct 2, 2016Ruvu Shooting(home)2-2Ligi kuu Bara

What does the head-to-head say?

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

DateScoreCompetition
May 7, 2016Kagera Sugar 1-2 AzamLigi kuu Bara
Dec 27, 2015Azam 2-0 Kagera SugarLigi kuu Bara

Last archived meeting: Kagera Sugar vs Azam on May 7, 2016

How many goals should we expect?

Kagera Sugar score 0.9 and concede 1.0 goals per match over their last 15; Azam score 1.3 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Kagera Sugar0.91.093/153/15
Azam1.30.949/157/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

Kagera Sugar sit 14th in Ligi kuu Bara (5 points from 7 matches) and Azam sit 3rd (17 points from 8 matches).

2026-27 standings
#ClubPWDLGFGAPts
3Azam852113717
14Kagera Sugar71248155

A question about Kagera Sugar vs Azam?

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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