Colmar vs Bobigny: result 4-1 and analysis
National 2 - Group BGroup B - 30Kick-off on June 3, 2023 at 04:00 PM (UTC)Colmar Stadium, Colmar
Full time
What was the result of Colmar vs Bobigny?
Colmar won 4-1 on June 3, 2023.
Goalscorers
- 31′S. YebraColmar
- 35′L. MeyerColmar
- 50′H. BakaColmar
- 55′F. BeziouenBobigny
- 66′L. MeyerColmar
What is the recent form of both teams?
Over their last 15 matches in all competitions, Colmar have 6 wins, 4 draws and 5 defeats; Bobigny have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 27, 2023 | Belfort(away) | 1-0 | National 2 - Group B |
| May 13, 2023 | Metz II(home) | 1-0 | National 2 - Group B |
| May 6, 2023 | Reims II(away) | 3-1 | National 2 - Group B |
| Apr 29, 2023 | Haguenau(home) | 0-1 | National 2 - Group B |
| Apr 22, 2023 | Boulogne(away) | 2-0 | National 2 - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 27, 2023 | Epinal(home) | 2-3 | National 2 - Group B |
| May 12, 2023 | Furiani-Agliani(away) | 1-2 | National 2 - Group B |
| May 6, 2023 | Sainte Geneviève(home) | 5-0 | National 2 - Group B |
| Apr 29, 2023 | St Maur Lusitanos(away) | 1-4 | National 2 - Group B |
| Apr 22, 2023 | Fleury 91(away) | 0-2 | National 2 - Group B |
What does the head-to-head say?
Across the last 1 meetings: 0 Colmar win(s), 0 draw(s), 1 Bobigny win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 20, 2022 | Bobigny 5-0 Colmar | National 2 - Group B |
How many goals should we expect?
Colmar score 1.1 and concede 1.1 goals per match over their last 15; Bobigny score 1.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Colmar | 1.1 | 1.1 | 6 | 7/15 | 6/15 |
| Bobigny | 1.9 | 1.5 | 3 | 10/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Colmar | 30 | 9 | 11 | 10 | 41 | 43 | 37 |
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