Mâcon vs Feignies-Aulnoye: result 2-0 and analysis
National 2 - Group DGroup D - 2Kick-off on September 2, 2023 at 04:00 PM (UTC)Complexe Champlevert - Terrain Paul Guérin, Mâcon
Full time
What was the result of Mâcon vs Feignies-Aulnoye?
Mâcon won 2-0 on September 2, 2023.
Goalscorers
- 44′H. RachidiMâcon
- 82′J. KassaMâcon
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mâcon have 9 wins, 4 draws and 2 defeats; Feignies-Aulnoye have 11, 3 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 26, 2023 | Haguenau(away) | 0-0 | National 2 - Group D |
| Jul 28, 2023 | Villefranche(away) | 0-3 | Friendlies Clubs |
| Jun 3, 2023 | Sochaux II(home) | 2-1 | National 3 - Group E |
| May 27, 2023 | Gueugnon(away) | 4-1 | National 3 - Group E |
| May 13, 2023 | Besançon(home) | 1-1 | National 3 - Group E |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 26, 2023 | Bobigny(home) | 1-1 | National 2 - Group D |
| Jun 3, 2023 | US Maubeuge(away) | 3-1 | National 3 - Group I |
| May 27, 2023 | Croix Football IC(home) | 2-0 | National 3 - Group I |
| May 13, 2023 | Lens II(away) | 2-2 | National 3 - Group I |
| May 6, 2023 | Lambresienne(home) | 10-1 | National 3 - Group I |
How many goals should we expect?
Mâcon score 2.2 and concede 0.8 goals per match over their last 15; Feignies-Aulnoye score 2.7 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mâcon | 2.2 | 0.8 | 6 | 7/15 | 9/15 |
| Feignies-Aulnoye | 2.7 | 1.0 | 4 | 11/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Mâcon sit 12th in National 2 - Group D (28 points from 26 matches) and Feignies-Aulnoye sit 8th (34 points from 26 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Feignies-Aulnoye | 26 | 9 | 7 | 10 | 28 | 32 | 34 |
| 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