Racing Colombes 92 vs Noisy-le-Grand: result 4-0 and analysis
National 3 - Group LGroup L - 4Kick-off on September 7, 2019 at 01:00 PM (UTC)Stade Léo Lagrange, Poissy
Full time
What was the result of Racing Colombes 92 vs Noisy-le-Grand?
Racing Colombes 92 won 4-0 on September 7, 2019.
Goalscorers
- 18′Jordan DuhamelRacing Colombes 92
- 50′Ahmed IbrahimiRacing Colombes 92
- 65′N. MountasserRacing Colombes 92
- 88′Ahmed IbrahimiRacing Colombes 92
What is the recent form of both teams?
Over their last 7 matches in all competitions, Racing Colombes 92 have 4 wins, 1 draws and 2 defeats; Noisy-le-Grand have 4, 0 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 31, 2019 | Blanc Mesnil(away) | 4-1 | National 3 - Group L |
| Aug 24, 2019 | Saint-Leu(home) | 1-0 | National 3 - Group L |
| Aug 17, 2019 | PSG II(away) | 1-1 | National 3 - Group L |
| Dec 3, 2017 | Schiltigheim(away) | 1-2 | Coupe de France |
| Nov 12, 2017 | Chantilly(away) | 3-0 | Coupe de France |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 31, 2019 | Saint-Leu(away) | 0-2 | National 3 - Group L |
| Aug 24, 2019 | Torcy(home) | 0-1 | National 3 - Group L |
| Aug 17, 2019 | Boulogne-Billancourt(away) | 1-0 | National 3 - Group L |
| Jan 24, 2019 | Bastia(away) | 1-2 | Coupe de France |
| Jan 6, 2019 | Gazelec FC Ajaccio(home) | 2-1 | Coupe de France |
How many goals should we expect?
Racing Colombes 92 score 1.7 and concede 0.9 goals per match over their last 7; Noisy-le-Grand score 1.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Racing Colombes 92 | 1.7 | 0.9 | 2 | 4/7 | 4/7 |
| Noisy-le-Grand | 1.0 | 1.0 | 2 | 3/7 | 3/7 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Racing Colombes 92 | 25 | 19 | 3 | 3 | 62 | 20 | 60 |
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