Limonest vs Le Puy Foot II: result 3-1 and analysis
National 3 - Group MGroup M - 7Kick-off on October 19, 2019 at 04:00 PM (UTC)Stade Courtois Fillot, Limonest
Full time
What was the result of Limonest vs Le Puy Foot II?
Limonest won 3-1 on October 19, 2019.
Goalscorers
- 37′V. DutreiveLimonest
- 69′K. BennekroufLe Puy Foot II
- 75′F. BoyerLimonest
- 79′Q. CanalesLimonest
What is the recent form of both teams?
Over their last 13 matches in all competitions, Limonest have 3 wins, 4 draws and 6 defeats; Le Puy Foot II have 0, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2019 | Aurillac Arpajon(away) | 0-0 | National 3 - Group M |
| Sep 21, 2019 | Ain Sud(away) | 1-1 | National 3 - Group M |
| Sep 8, 2019 | Chambéry(home) | 3-0 | National 3 - Group M |
| Aug 31, 2019 | Rumilly Vallières(away) | 3-2 | National 3 - Group M |
| Aug 24, 2019 | Montluçon(home) | 0-1 | National 3 - Group M |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2019 | Ain Sud(home) | 1-1 | National 3 - Group M |
| Sep 21, 2019 | Chambéry(away) | 1-1 | National 3 - Group M |
| Sep 8, 2019 | Rumilly Vallières(home) | 1-4 | National 3 - Group M |
| Aug 31, 2019 | Montluçon(away) | 0-2 | National 3 - Group M |
| Aug 24, 2019 | Hauts Lyonnais(home) | 0-2 | National 3 - Group M |
How many goals should we expect?
Limonest score 1.8 and concede 1.8 goals per match over their last 13; Le Puy Foot II score 0.7 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Limonest | 1.8 | 1.8 | 3 | 7/13 | 8/13 |
| Le Puy Foot II | 0.7 | 1.8 | 0 | 4/6 | 1/6 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Limonest | 26 | 12 | 3 | 11 | 47 | 32 | 39 |
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