Hauts Lyonnais vs Aurillac Arpajon: result 2-1 and analysis
National 3 - Group MGroup M - 9Kick-off on November 9, 2019 at 02:00 PM (UTC)Stade Thomas Granjon, Saint-Symphorien-sur-Coise
Full time
What was the result of Hauts Lyonnais vs Aurillac Arpajon?
Hauts Lyonnais won 2-1 on November 9, 2019.
Goalscorers
- 44′M. BoussaïdHauts Lyonnais
- 55′M. BoussaïdHauts Lyonnais
- 90′K. ZolonaAurillac Arpajon
What is the recent form of both teams?
Over their last 14 matches in all competitions, Hauts Lyonnais have 8 wins, 4 draws and 2 defeats; Aurillac Arpajon have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2019 | Bourgoin-Jallieu(away) | 1-3 | National 3 - Group M |
| Oct 19, 2019 | Lyon Duchère II(home) | 1-0 | National 3 - Group M |
| Oct 5, 2019 | Thiers(away) | 6-0 | National 3 - Group M |
| Sep 21, 2019 | Clermont II(home) | 4-1 | National 3 - Group M |
| Sep 8, 2019 | Saint-Flour(away) | 1-1 | National 3 - Group M |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2019 | Le Puy Foot II(home) | 2-3 | National 3 - Group M |
| Oct 19, 2019 | Bourgoin-Jallieu(away) | 1-2 | National 3 - Group M |
| Oct 5, 2019 | Limonest(home) | 0-0 | National 3 - Group M |
| Sep 21, 2019 | Lyon Duchère II(away) | 1-2 | National 3 - Group M |
| Sep 8, 2019 | Ain Sud(home) | 3-3 | National 3 - Group M |
How many goals should we expect?
Hauts Lyonnais score 2.0 and concede 0.9 goals per match over their last 14; Aurillac Arpajon score 1.6 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Hauts Lyonnais | 2.0 | 0.9 | 7 | 7/14 | 7/14 |
| Aurillac Arpajon | 1.6 | 1.6 | 4 | 9/15 | 10/15 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Hauts Lyonnais | 26 | 12 | 4 | 10 | 28 | 27 | 40 |
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