Feurs vs Limonest: result 1-4 and analysis
National 3 - Group MAuvergne-Rhône-Alpes - 4Kick-off on October 1, 2022 at 04:00 PM (UTC)Stade Maurice Rousson, Feurs
Full time
What was the result of Feurs vs Limonest?
Limonest won 1-4 on October 1, 2022.
Goalscorers
- 20′R. KottoyLimonest
- 32′K. LaperdrixLimonest
- 50′M. ChambriardFeurs
- 70′N. GuelbiLimonest
- 75′N. GuelbiLimonest
What is the recent form of both teams?
Over their last 7 matches in all competitions, Feurs have 1 wins, 3 draws and 3 defeats; Limonest have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2022 | Chambéry(away) | 0-2 | National 3 - Group M |
| Sep 3, 2022 | Aix les Bains(home) | 1-1 | National 3 - Group M |
| Aug 28, 2022 | Rumilly Vallières(away) | 1-1 | National 3 - Group M |
| Feb 14, 2021 | Le Puy Foot(home) | 0-0 | Coupe de France |
| Feb 7, 2021 | Nord Vignoble(away) | 2-1 | Coupe de France |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2022 | Aix les Bains(away) | 2-0 | National 3 - Group M |
| Sep 3, 2022 | Saint-Étienne II(home) | 1-2 | National 3 - Group M |
| Aug 28, 2022 | Montluçon(away) | 3-0 | National 3 - Group M |
| Jun 4, 2022 | Lyon Duchère II(away) | 2-0 | National 3 - Group M |
| May 28, 2022 | Aurillac Arpajon(home) | 5-2 | National 3 - Group M |
How many goals should we expect?
Feurs score 0.9 and concede 1.3 goals per match over their last 7; Limonest score 2.0 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Feurs | 0.9 | 1.3 | 1 | 5/7 | 3/7 |
| Limonest | 2.0 | 1.3 | 5 | 10/15 | 10/15 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
Feurs sit 9th in National 3 - Group M (37 points from 26 matches) and Limonest sit 6th (39 points from 26 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Limonest | 26 | 12 | 3 | 11 | 47 | 32 | 39 |
| 9 | Feurs | 26 | 9 | 10 | 7 | 33 | 32 | 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