Chasselay MDA vs PSG II: result 2-0 and analysis
National 2 - Group BRegular Season - 18Kick-off on February 3, 2018 at 02:00 PM (UTC)Stade Ludovic Giuly, Chasselay
Full time
What was the result of Chasselay MDA vs PSG II?
Chasselay MDA won 2-0 on February 3, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Chasselay MDA have 4 wins, 3 draws and 8 defeats; PSG II have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 27, 2018 | Epinal(home) | 0-1 | National 2 - Group B |
| Jan 20, 2018 | Le Puy Foot(away) | 1-0 | National 2 - Group B |
| Jan 13, 2018 | Montceau(home) | 3-0 | National 2 - Group B |
| Dec 20, 2017 | Villefranche(away) | 0-1 | National 2 - Group B |
| Dec 16, 2017 | Andrézieux(away) | 0-4 | National 2 - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 20, 2017 | Saint-Priest(home) | 2-0 | National 2 - Group B |
| Dec 15, 2017 | Annecy(away) | 1-1 | National 2 - Group B |
| Dec 9, 2017 | Olympique Lyonnais II(home) | 3-1 | National 2 - Group B |
| Nov 25, 2017 | Schiltigheim(away) | 1-1 | National 2 - Group B |
| Nov 18, 2017 | Moulins-Yzeure Foot 03(home) | 1-2 | National 2 - Group B |
What does the head-to-head say?
Across the last 2 meetings: 1 Chasselay MDA win(s), 1 draw(s), 0 PSG II win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 2, 2017 | PSG II 0-0 Chasselay MDA | National 2 - Group B |
| Jan 13, 2013 | Chasselay MDA 3-0 PSG II | National 2 - Group B |
Last archived meeting: PSG II vs Chasselay MDA on Sep 2, 2017
How many goals should we expect?
Chasselay MDA score 1.0 and concede 1.6 goals per match over their last 15; PSG II score 1.8 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Chasselay MDA | 1.0 | 1.6 | 4 | 7/15 | 9/15 |
| PSG II | 1.8 | 1.4 | 2 | 11/15 | 9/15 |
Over the last 15 matches in all competitions.
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