Nantes II vs Canet Roussillon: result 1-2 and analysis
National 2 - Group DGroup D - 10Kick-off on October 23, 2021 at 04:00 PM (UTC)Stade Marcel-Saupin, Nantes
Full time
What was the result of Nantes II vs Canet Roussillon?
Canet Roussillon won 1-2 on October 23, 2021.
Goalscorers
- 57′T. RambaudCanet Roussillon (pen.)
- 70′A. DiabyCanet Roussillon
- 88′J. AffamahNantes II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nantes II have 4 wins, 6 draws and 5 defeats; Canet Roussillon have 8, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 9, 2021 | Bergerac(home) | 0-0 | National 2 - Group D |
| Oct 2, 2021 | Angers SCO II(home) | 1-1 | National 2 - Group D |
| Sep 25, 2021 | Colomiers(away) | 2-0 | National 2 - Group D |
| Sep 11, 2021 | Chamalières(away) | 2-2 | National 2 - Group D |
| Sep 2, 2021 | Montpellier II(home) | 1-0 | National 2 - Group D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 9, 2021 | Colomiers(home) | 1-0 | National 2 - Group D |
| Sep 25, 2021 | Andrézieux(away) | 1-1 | National 2 - Group D |
| Sep 18, 2021 | Chamalières(home) | 2-0 | National 2 - Group D |
| Sep 11, 2021 | Montpellier II(away) | 0-0 | National 2 - Group D |
| Sep 4, 2021 | Les Herbiers(home) | 2-1 | National 2 - Group D |
How many goals should we expect?
Nantes II score 0.9 and concede 1.2 goals per match over their last 15; Canet Roussillon score 1.2 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nantes II | 0.9 | 1.2 | 6 | 6/15 | 4/15 |
| Canet Roussillon | 1.2 | 0.7 | 7 | 7/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Nantes II | 30 | 8 | 10 | 12 | 31 | 41 | 34 |
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