Gobelins vs Bourges Foot 18: result 4-2 and analysis
National 2 - Group BGroup B - 3Kick-off on September 9, 2023 at 05:00 PM (UTC)Stade Pelé, Paris
Full time
What was the result of Gobelins vs Bourges Foot 18?
Gobelins won 4-2 on September 9, 2023.
Goalscorers
- 11′Tiago CastroGobelins
- 15′D. OnanaBourges Foot 18
- 17′K. ManseriBourges Foot 18
- 43′M. LasmeGobelins
- 61′Marc-Evy OusseniGobelins
- 80′437750Gobelins
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gobelins have 3 wins, 5 draws and 7 defeats; Bourges Foot 18 have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 2, 2023 | Trélissac(away) | 1-1 | National 2 - Group B |
| Aug 26, 2023 | Angoulême(home) | 1-2 | National 2 - Group B |
| May 26, 2023 | Chateauroux(home) | 2-3 | Ligue 3 |
| May 19, 2023 | Cholet(away) | 0-1 | Ligue 3 |
| May 12, 2023 | Versailles(home) | 1-0 | Ligue 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 2, 2023 | Romorantin(home) | 1-2 | National 2 - Group B |
| Aug 26, 2023 | La Roche VF(away) | 0-4 | National 2 - Group B |
| Jun 3, 2023 | Andrézieux(home) | 0-2 | National 2 - Group D |
| May 27, 2023 | Lorient II(away) | 2-2 | National 2 - Group D |
| May 13, 2023 | Nantes II(home) | 1-1 | National 2 - Group D |
How many goals should we expect?
Gobelins score 0.9 and concede 1.4 goals per match over their last 15; Bourges Foot 18 score 1.2 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gobelins | 0.9 | 1.4 | 4 | 6/15 | 6/15 |
| Bourges Foot 18 | 1.2 | 1.4 | 4 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Bourges Foot 18 | 30 | 14 | 10 | 6 | 35 | 24 | 52 |
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