Match

Mtibwa Sugar vs Kagera Sugar: result 0-1 and analysis

Ligi kuu BaraRegular Season - 10Kick-off on November 19, 2017 at 11:00 AM (UTC)Manungu Stadium, Turiani

Mtibwa Sugar
0-1
Kagera Sugar

Full time

What was the result of Mtibwa Sugar vs Kagera Sugar?

Kagera Sugar won 0-1 on November 19, 2017.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Mtibwa Sugar have 6 wins, 9 draws and 0 defeats; Kagera Sugar have 4, 6 and 5.

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

Mtibwa Sugar
DateOpponentScoreCompetition
Nov 4, 2017Ndanda(away)0-0Ligi kuu Bara
Oct 29, 2017Singida United(home)0-0Ligi kuu Bara
Oct 21, 2017Tanzania Prisons(home)1-0Ligi kuu Bara
Oct 15, 2017Simba(away)1-1Ligi kuu Bara
Oct 1, 2017Young Africans(away)0-0Ligi kuu Bara
Kagera Sugar
DateOpponentScoreCompetition
Nov 4, 2017Tanzania Prisons(home)1-1Ligi kuu Bara
Oct 29, 2017Ndanda(home)2-1Ligi kuu Bara
Oct 20, 2017Mwadui(away)1-1Ligi kuu Bara
Oct 14, 2017Young Africans(home)1-2Ligi kuu Bara
Sep 30, 2017Maji Maji(away)0-0Ligi kuu Bara

What does the head-to-head say?

Across the last 4 meetings: 2 Mtibwa Sugar wins, 0 draws, 2 Kagera Sugar wins.

DateScoreCompetition
Jan 30, 2017Kagera Sugar 2-1 Mtibwa SugarLigi kuu Bara
Sep 17, 2016Mtibwa Sugar 2-0 Kagera SugarLigi kuu Bara
Mar 18, 2016Kagera Sugar 1-0 Mtibwa SugarLigi kuu Bara
Oct 28, 2015Mtibwa Sugar 1-0 Kagera SugarLigi kuu Bara

Last archived meeting: Kagera Sugar vs Mtibwa Sugar on Jan 30, 2017

How many goals should we expect?

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

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Mtibwa Sugar1.00.596/153/15
Kagera Sugar0.90.939/155/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
14Kagera Sugar71248155

A question about Mtibwa Sugar vs Kagera 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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