Gicumbi vs Marines: result 1-0 and analysis
National Soccer LeagueRegular Season - 11Kick-off on December 22, 2018 at 01:30 PM (UTC)Gicumbi Stadium, Byumba
Full time
What was the result of Gicumbi vs Marines?
Gicumbi won 1-0 on December 22, 2018.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Gicumbi have 1 wins, 2 draws and 7 defeats; Marines have 3, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 19, 2018 | AS Kigali(away) | 0-6 | National Soccer League |
| Dec 14, 2018 | Kirehe(home) | 1-0 | National Soccer League |
| Dec 11, 2018 | Kiyovu Sports(away) | 0-1 | National Soccer League |
| Dec 7, 2018 | Musanze(home) | 1-1 | National Soccer League |
| Nov 29, 2018 | Bugesera(away) | 1-2 | National Soccer League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 18, 2018 | Kirehe(home) | 1-0 | National Soccer League |
| Dec 15, 2018 | Musanze(away) | 0-1 | National Soccer League |
| Dec 12, 2018 | Amagaju(home) | 3-0 | National Soccer League |
| Dec 8, 2018 | Police(away) | 2-3 | National Soccer League |
| Nov 30, 2018 | Espoir(home) | 2-0 | National Soccer League |
How many goals should we expect?
Gicumbi score 0.5 and concede 1.8 goals per match over their last 10; Marines score 1.0 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gicumbi | 0.5 | 1.8 | 2 | 3/10 | 4/10 |
| Marines | 1.0 | 0.8 | 5 | 3/10 | 2/10 |
Over the last 10 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 Marines sit 8th (45 points from 34 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Marines | 34 | 12 | 9 | 13 | 47 | 43 | 45 |
| 12 | Gicumbi | 34 | 10 | 8 | 16 | 38 | 54 | 38 |
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