Colmar vs Mâcon: result 2-0 and analysis
National 2 - Group DGroup D - 9Kick-off on November 11, 2023 at 05:00 PM (UTC)Colmar Stadium, Colmar
Full time
What was the result of Colmar vs Mâcon?
Colmar won 2-0 on November 11, 2023.
Goalscorers
- 39′J. JacquatColmar
- 64′S. MayiColmar
What is the recent form of both teams?
Over their last 15 matches in all competitions, Colmar have 7 wins, 3 draws and 5 defeats; Mâcon have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2023 | Bobigny(away) | 2-2 | National 2 - Group D |
| Oct 21, 2023 | Racing Besançon(home) | 1-2 | National 2 - Group D |
| Oct 7, 2023 | Creteil(away) | 0-1 | National 2 - Group D |
| Sep 23, 2023 | Fleury 91(away) | 2-1 | National 2 - Group D |
| Sep 16, 2023 | Bourg-en-bresse 01(home) | 1-1 | National 2 - Group D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2023 | Furiani-Agliani(away) | 0-2 | National 2 - Group D |
| Oct 7, 2023 | Olympique St Quentin(home) | 6-0 | National 2 - Group D |
| Sep 23, 2023 | Auxerre II(away) | 0-3 | National 2 - Group D |
| Sep 16, 2023 | Wasquehal(home) | 2-1 | National 2 - Group D |
| Sep 9, 2023 | Biesheim(away) | 1-1 | National 2 - Group D |
How many goals should we expect?
Colmar score 1.4 and concede 1.1 goals per match over their last 15; Mâcon score 1.9 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Colmar | 1.4 | 1.1 | 5 | 7/15 | 7/15 |
| Mâcon | 1.9 | 1.0 | 5 | 7/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Colmar sit 10th in National 2 - Group D (31 points from 26 matches) and Mâcon sit 12th (28 points from 26 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Colmar | 26 | 9 | 4 | 13 | 35 | 41 | 31 |
| 12 | Mâcon | 26 | 6 | 10 | 10 | 34 | 37 | 28 |
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