Canet Roussillon vs Moulins-Yzeure Foot 03: result 0-0 and analysis
National 2 - Group DGroup D - 8Kick-off on October 10, 2020 at 04:00 PM (UTC)Stade Saint-Michel, Canet-en-Roussillon
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What was the result of Canet Roussillon vs Moulins-Yzeure Foot 03?
Canet Roussillon and Moulins-Yzeure Foot 03 drew 0-0 on October 10, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Canet Roussillon have 6 wins, 4 draws and 5 defeats; Moulins-Yzeure Foot 03 have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2020 | Romorantin(away) | 1-4 | National 2 - Group D |
| Sep 19, 2020 | Bourges Foot(home) | 0-1 | National 2 - Group D |
| Sep 12, 2020 | Bourges 18(away) | 2-1 | National 2 - Group D |
| Sep 5, 2020 | Mont-de-Marsan(home) | 3-0 | National 2 - Group D |
| Sep 2, 2020 | Chamalières(away) | 1-1 | National 2 - Group D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2020 | Bourges Foot(away) | 2-0 | National 2 - Group D |
| Sep 19, 2020 | Mont-de-Marsan(home) | 0-0 | National 2 - Group D |
| Sep 12, 2020 | Colomiers(away) | 1-2 | National 2 - Group D |
| Sep 5, 2020 | Nantes II(home) | 1-1 | National 2 - Group D |
| Sep 2, 2020 | Angers SCO II(away) | 1-1 | National 2 - Group D |
How many goals should we expect?
Canet Roussillon score 1.5 and concede 1.3 goals per match over their last 15; Moulins-Yzeure Foot 03 score 1.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Canet Roussillon | 1.5 | 1.3 | 3 | 9/15 | 9/15 |
| Moulins-Yzeure Foot 03 | 1.7 | 1.3 | 4 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Moulins-Yzeure Foot 03 | 30 | 6 | 9 | 15 | 26 | 44 | 27 |
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