Romorantin vs Canet Roussillon: result 4-1 and analysis
National 2 - Group DGroup D - 7Kick-off on September 26, 2020 at 04:00 PM (UTC)Stade Jules Ladoumègue
Full time
What was the result of Romorantin vs Canet Roussillon?
Romorantin won 4-1 on September 26, 2020.
Goalscorers
- 10′A. PayetRomorantin
- 17′T. OuadoudiCanet Roussillon
- 70′Y. OuhammouRomorantin
- 76′A. PayetRomorantin
- 90′A. PayetRomorantin
What is the recent form of both teams?
Over their last 15 matches in all competitions, Romorantin have 5 wins, 4 draws and 6 defeats; Canet Roussillon have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 19, 2020 | Bourges 18(away) | 2-0 | National 2 - Group D |
| Sep 12, 2020 | Chamalières(home) | 3-0 | National 2 - Group D |
| Sep 5, 2020 | Beziers(away) | 0-1 | National 2 - Group D |
| Sep 2, 2020 | Les Herbiers(home) | 1-0 | National 2 - Group D |
| Aug 29, 2020 | Le Puy Foot(away) | 0-0 | National 2 - Group D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Aug 29, 2020 | Colomiers(home) | 0-0 | National 2 - Group D |
How many goals should we expect?
Romorantin score 1.2 and concede 0.8 goals per match over their last 15; Canet Roussillon score 1.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Romorantin | 1.2 | 0.8 | 6 | 4/15 | 4/15 |
| Canet Roussillon | 1.5 | 1.1 | 4 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Romorantin | 30 | 12 | 7 | 11 | 40 | 40 | 43 |
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