Racing Colombes 92 vs Poissy: result 2-1 and analysis
National 2 - Group AGroup A - 11Kick-off on November 26, 2022 at 01:30 PM (UTC)Stade Léo Lagrange, Poissy
Full time
What was the result of Racing Colombes 92 vs Poissy?
Racing Colombes 92 won 2-1 on November 26, 2022.
Goalscorers
- 19′A. Lamb LuthRacing Colombes 92
- 62′C. TouréPoissy
- 76′A. Lamb LuthRacing Colombes 92
What is the recent form of both teams?
Over their last 15 matches in all competitions, Racing Colombes 92 have 11 wins, 2 draws and 2 defeats; Poissy have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 12, 2022 | Blois(away) | 1-2 | National 2 - Group A |
| Nov 5, 2022 | Rennes II(home) | 5-1 | National 2 - Group A |
| Oct 22, 2022 | Beauvais(away) | 5-3 | National 2 - Group A |
| Oct 15, 2022 | C' Chartres(home) | 2-1 | National 2 - Group A |
| Oct 1, 2022 | Évreux 27(away) | 5-0 | National 2 - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 19, 2022 | Caen II(away) | 1-0 | National 2 - Group A |
| Nov 12, 2022 | Chambly Thelle FC(home) | 0-0 | National 2 - Group A |
| Nov 5, 2022 | Châteaubriant(away) | 1-2 | National 2 - Group A |
| Oct 29, 2022 | Oissel(away) | 1-1 | Coupe de France |
| Oct 22, 2022 | St-Pryvé St-Hilaire(home) | 2-1 | National 2 - Group A |
How many goals should we expect?
Racing Colombes 92 score 2.9 and concede 0.9 goals per match over their last 15; Poissy score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Racing Colombes 92 | 2.9 | 0.9 | 6 | 8/15 | 12/15 |
| Poissy | 1.1 | 1.1 | 7 | 6/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Racing Colombes 92 | 1 | 1 | 0 | 0 | 4 | 2 | 3 |
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