Match

Gicumbi vs Bugesera: result 1-2 and analysis

National Soccer LeagueRegular Season - 14Kick-off on December 14, 2019 at 01:00 PM (UTC)Stade Mumena, Kigali

Gicumbi
1-2
Bugesera

Full time

What was the result of Gicumbi vs Bugesera?

Bugesera won 1-2 on December 14, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Gicumbi have 3 wins, 3 draws and 9 defeats; Bugesera have 5, 5 and 5.

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

Gicumbi
DateOpponentScoreCompetition
Dec 8, 2019AS Kigali(away)2-1National Soccer League
Dec 3, 2019APR(home)1-1National Soccer League
Nov 30, 2019Heroes(home)2-2National Soccer League
Nov 26, 2019Gasogi United(away)0-1National Soccer League
Nov 24, 2019Rayon Sports(home)0-1National Soccer League
Bugesera
DateOpponentScoreCompetition
Dec 7, 2019Musanze(home)0-0National Soccer League
Dec 4, 2019Sunrise(away)2-2National Soccer League
Dec 1, 2019Espoir(home)2-0National Soccer League
Nov 27, 2019Kiyovu Sports(away)2-5National Soccer League
Nov 24, 2019Mukura(home)1-0National Soccer League

What does the head-to-head say?

Across the last 2 meetings: 0 Gicumbi win(s), 1 draw(s), 1 Bugesera win(s).

DateScoreCompetition
Mar 16, 2019Gicumbi 1-1 BugeseraNational Soccer League
Nov 29, 2018Bugesera 2-1 GicumbiNational Soccer League

Last archived meeting: Gicumbi vs Bugesera on Mar 16, 2019

How many goals should we expect?

Gicumbi score 1.0 and concede 1.7 goals per match over their last 15; Bugesera score 1.5 and concede 1.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Gicumbi1.01.709/158/15
Bugesera1.51.649/157/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

Gicumbi sit 12th in National Soccer League (38 points from 34 matches) and Bugesera sit 9th (44 points from 34 matches).

2025-26 standings
#ClubPWDLGFGAPts
9Bugesera3412814343944
12Gicumbi3410816385438

How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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