Match

Kagera Sugar vs Ndanda: result 2-1 and analysis

Ligi kuu BaraRegular Season - 8Kick-off on October 29, 2017 at 12:00 PM (UTC)Kaitaba Stadium, Bukoba

Kagera Sugar
2-1
Ndanda

Full time

What was the result of Kagera Sugar vs Ndanda?

Kagera Sugar won 2-1 on October 29, 2017.

What is the recent form of both teams?

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

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

Kagera Sugar
DateOpponentScoreCompetition
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
Sep 24, 2017Singida United(away)0-1Ligi kuu Bara
Sep 15, 2017Azam(away)0-1Ligi kuu Bara
Ndanda
DateOpponentScoreCompetition
Oct 21, 2017Singida United(home)0-0Ligi kuu Bara
Oct 14, 2017Maji Maji(home)1-1Ligi kuu Bara
Sep 30, 2017Lipuli(home)2-1Ligi kuu Bara
Sep 23, 2017Young Africans(away)0-1Ligi kuu Bara
Sep 16, 2017Tanzania Prisons(away)0-0Ligi kuu Bara

What does the head-to-head say?

Across the last 4 meetings: 1 Kagera Sugar win, 2 draws, 1 Ndanda win.

DateScoreCompetition
Jan 14, 2017Kagera Sugar 2-0 NdandaLigi kuu Bara
Sep 10, 2016Ndanda 0-0 Kagera SugarLigi kuu Bara
Apr 16, 2016Ndanda 2-0 Kagera SugarLigi kuu Bara
Dec 12, 2015Kagera Sugar 1-1 NdandaLigi kuu Bara

Last archived meeting: Kagera Sugar vs Ndanda on Jan 14, 2017

How many goals should we expect?

Kagera Sugar score 0.8 and concede 0.9 goals per match over their last 15; Ndanda score 0.9 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Kagera Sugar0.80.948/154/15
Ndanda0.90.975/155/15

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 Kagera Sugar vs Ndanda?

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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