Muhanga vs Gicumbi: result 3-0 and analysis
National Soccer LeagueRegular Season - 14Kick-off on January 12, 2019 at 01:30 PM (UTC)Muhanga Regional Stadium, Gitarama
Full time
What was the result of Muhanga vs Gicumbi?
Muhanga won 3-0 on January 12, 2019.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Muhanga have 3 wins, 7 draws and 3 defeats; Gicumbi have 3, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 6, 2019 | APR(away) | 1-2 | National Soccer League |
| Dec 29, 2018 | AS Kigali(home) | 0-0 | National Soccer League |
| Dec 23, 2018 | Kiyovu Sports(away) | 3-3 | National Soccer League |
| Dec 20, 2018 | Bugesera(home) | 1-1 | National Soccer League |
| Dec 15, 2018 | Rayon Sports(away) | 0-1 | National Soccer League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 5, 2019 | Etincelles(home) | 1-0 | National Soccer League |
| Dec 28, 2018 | APR(away) | 0-0 | National Soccer League |
| Dec 22, 2018 | Marines(home) | 1-0 | National Soccer League |
| Dec 19, 2018 | AS Kigali(away) | 0-6 | National Soccer League |
| Dec 14, 2018 | Kirehe(home) | 1-0 | National Soccer League |
How many goals should we expect?
Muhanga score 1.4 and concede 1.2 goals per match over their last 13; Gicumbi score 0.5 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Muhanga | 1.4 | 1.2 | 3 | 8/13 | 6/13 |
| Gicumbi | 0.5 | 1.4 | 5 | 3/13 | 4/13 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
Muhanga sit 17th in National Soccer League (31 points from 34 matches) and Gicumbi sit 12th (38 points from 34 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Gicumbi | 34 | 10 | 8 | 16 | 38 | 54 | 38 |
| 17 | Muhanga | 34 | 8 | 7 | 19 | 25 | 46 | 31 |
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