Montluçon vs Feurs: result 1-1 and analysis
National 3 - Group MAuvergne-Rhône-Alpes - 11Kick-off on December 3, 2022 at 05:00 PM (UTC)Stade Dunlop 1, Montluçon
Full time
What was the result of Montluçon vs Feurs?
Montluçon and Feurs drew 1-1 on December 3, 2022.
Goalscorers
- 36′R. Dossou GbeteMontluçon (pen.)
- 67′B. AulagnierFeurs
What is the recent form of both teams?
Over their last 15 matches in all competitions, Montluçon have 2 wins, 5 draws and 8 defeats; Feurs have 3, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 26, 2022 | Lyon Duchère II(away) | 0-2 | National 3 - Group M |
| Nov 19, 2022 | Hauts Lyonnais(home) | 1-1 | National 3 - Group M |
| Nov 12, 2022 | Vaulx(away) | 1-3 | National 3 - Group M |
| Nov 5, 2022 | Chambéry(home) | 0-0 | National 3 - Group M |
| Oct 22, 2022 | Rumilly Vallières(away) | 0-2 | National 3 - Group M |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 26, 2022 | Clermont II(home) | 2-0 | National 3 - Group M |
| Nov 19, 2022 | Lyon Duchère II(away) | 0-0 | National 3 - Group M |
| Nov 12, 2022 | Ain Sud(home) | 3-1 | National 3 - Group M |
| Nov 5, 2022 | Hauts Lyonnais(away) | 0-1 | National 3 - Group M |
| Oct 29, 2022 | Onet-le-Château(away) | 1-2 | Coupe de France |
How many goals should we expect?
Montluçon score 0.9 and concede 2.1 goals per match over their last 15; Feurs score 0.9 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Montluçon | 0.9 | 2.1 | 4 | 6/15 | 8/15 |
| Feurs | 0.9 | 1.2 | 4 | 8/14 | 6/14 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Montluçon sit 14th in National 3 - Group M (10 points from 26 matches) and Feurs sit 9th (37 points from 26 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Feurs | 26 | 9 | 10 | 7 | 33 | 32 | 37 |
| 14 | Montluçon | 26 | 2 | 4 | 20 | 17 | 67 | 10 |
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