Monaco II vs Chasselay MDA: result 4-2 and analysis
National 2 - Group ARegular Season - 10Kick-off on November 3, 2018 at 05:00 PM (UTC)Stade Prince Héréditaire Jacques, Beausoleil
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What was the result of Monaco II vs Chasselay MDA?
Monaco II won 4-2 on November 3, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Monaco II have 4 wins, 5 draws and 6 defeats; Chasselay MDA have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2018 | Olympique Marseille II(home) | 2-1 | National 2 - Group A |
| Oct 6, 2018 | Jura Sud Foot(away) | 3-0 | National 2 - Group A |
| Sep 22, 2018 | Hyères(home) | 1-1 | National 2 - Group A |
| Sep 15, 2018 | Annecy(away) | 1-2 | National 2 - Group A |
| Sep 8, 2018 | Nice II(home) | 0-4 | National 2 - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2018 | Jura Sud Foot(home) | 1-1 | National 2 - Group A |
| Oct 6, 2018 | Hyères(away) | 0-1 | National 2 - Group A |
| Sep 22, 2018 | Annecy(home) | 2-4 | National 2 - Group A |
| Sep 15, 2018 | Nice II(away) | 1-0 | National 2 - Group A |
| Sep 8, 2018 | Martigues(home) | 2-0 | National 2 - Group A |
What does the head-to-head say?
Across the last 2 meetings: 1 Monaco II win(s), 0 draw(s), 1 Chasselay MDA win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 25, 2015 | Chasselay MDA 1-0 Monaco II | National 2 - Group C |
| Nov 29, 2014 | Monaco II 5-2 Chasselay MDA | National 2 - Group C |
Last archived meeting: Chasselay MDA vs Monaco II on Apr 25, 2015
How many goals should we expect?
Monaco II score 1.4 and concede 1.7 goals per match over their last 15; Chasselay MDA score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Monaco II | 1.4 | 1.7 | 3 | 9/15 | 9/15 |
| Chasselay MDA | 0.9 | 1.3 | 5 | 5/15 | 4/15 |
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