Colmar vs Wasquehal: result 3-1 and analysis
National 2 - Group BGroup B - 7Kick-off on January 7, 2023 at 03:00 PM (UTC)Colmar Stadium, Colmar
Full time
What was the result of Colmar vs Wasquehal?
Colmar won 3-1 on January 7, 2023.
Goalscorers
- 11′P. KébéColmar
- 28′G. FallempinWasquehal
- 53′P. KébéColmar
- 85′J. JacquatColmar
What is the recent form of both teams?
Over their last 15 matches in all competitions, Colmar have 4 wins, 3 draws and 8 defeats; Wasquehal have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 10, 2022 | Reims II(home) | 0-0 | National 2 - Group B |
| Dec 3, 2022 | Haguenau(away) | 0-2 | National 2 - Group B |
| Nov 25, 2022 | Boulogne(home) | 2-1 | National 2 - Group B |
| Nov 12, 2022 | Creteil(away) | 1-4 | National 2 - Group B |
| Nov 5, 2022 | Besançon(home) | 1-2 | National 2 - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 10, 2022 | Haguenau(home) | 2-1 | National 2 - Group B |
| Dec 2, 2022 | Boulogne(away) | 0-1 | National 2 - Group B |
| Nov 26, 2022 | Creteil(home) | 0-3 | National 2 - Group B |
| Nov 20, 2022 | Reims Sainte-Anne(away) | 0-3 | Coupe de France |
| Nov 12, 2022 | Besançon(away) | 1-1 | National 2 - Group B |
How many goals should we expect?
Colmar score 1.0 and concede 1.6 goals per match over their last 15; Wasquehal score 1.5 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Colmar | 1.0 | 1.6 | 3 | 7/15 | 7/15 |
| Wasquehal | 1.5 | 1.7 | 3 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Colmar sit 11th in National 2 - Group B (37 points from 30 matches) and Wasquehal sit 13th (34 points from 30 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Colmar | 30 | 9 | 11 | 10 | 41 | 43 | 37 |
| 13 | Wasquehal | 30 | 10 | 4 | 16 | 28 | 44 | 34 |
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