Lorient II vs Chasselay MDA: result 0-0 and analysis
National 2 - Group DGroup D - 5Kick-off on September 17, 2022 at 04:30 PM (UTC)Stade Jean Charter 1, Quimperle
Full time
What was the result of Lorient II vs Chasselay MDA?
Lorient II and Chasselay MDA drew 0-0 on September 17, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lorient II have 7 wins, 5 draws and 3 defeats; Chasselay MDA have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2022 | Chamalières(away) | 1-1 | National 2 - Group D |
| Sep 3, 2022 | Saumur(home) | 1-1 | National 2 - Group D |
| Aug 27, 2022 | Trélissac(away) | 1-4 | National 2 - Group D |
| Aug 20, 2022 | Romorantin(home) | 2-1 | National 2 - Group D |
| May 28, 2022 | Vitré(away) | 5-0 | National 2 - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2022 | Nantes II(home) | 3-0 | National 2 - Group D |
| Sep 2, 2022 | Angoulême(away) | 0-0 | National 2 - Group D |
| Aug 27, 2022 | Angers SCO II(home) | 3-2 | National 2 - Group D |
| Aug 20, 2022 | Stade Bordelais(away) | 1-0 | National 2 - Group D |
| May 28, 2022 | Toulon(away) | 1-2 | National 2 - Group C |
How many goals should we expect?
Lorient II score 1.9 and concede 1.0 goals per match over their last 15; Chasselay MDA score 1.5 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lorient II | 1.9 | 1.0 | 4 | 9/15 | 8/15 |
| Chasselay MDA | 1.5 | 1.2 | 7 | 6/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Lorient II sit 12th in National 2 - Group D (39 points from 30 matches) and Chasselay MDA sit 1st (54 points from 30 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Chasselay MDA | 30 | 15 | 9 | 6 | 44 | 25 | 54 |
| 12 | Lorient II | 30 | 9 | 12 | 9 | 39 | 33 | 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