Chamalières vs Canet Roussillon: result 1-1 and analysis
National 2 - Group DGroup D - 3Kick-off on September 2, 2020 at 05:00 PM (UTC)Complexe Sportif Claude Wolff, Chamalières
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What was the result of Chamalières vs Canet Roussillon?
Chamalières and Canet Roussillon drew 1-1 on September 2, 2020.
Goalscorers
- 37′R. PiotonCanet Roussillon
- 66′E. NGassaki NDongoChamalières (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Chamalières have 3 wins, 6 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 |
|---|---|---|---|
| Aug 29, 2020 | Beziers(away) | 0-2 | National 2 - Group D |
| Aug 22, 2020 | Les Herbiers(home) | 0-0 | National 2 - Group D |
| Feb 22, 2020 | Montpellier II(home) | 1-0 | National 2 - Group C |
| Feb 15, 2020 | Trélissac(away) | 2-2 | National 2 - Group C |
| Feb 8, 2020 | Sète(home) | 0-0 | National 2 - Group C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 29, 2020 | Colomiers(home) | 0-0 | National 2 - Group D |
| Aug 22, 2020 | Beziers(away) | 1-2 | National 2 - Group D |
| Jul 22, 2020 | PAU(home) | 2-2 | Friendlies Clubs |
| Mar 7, 2020 | Olympique d'Alès(away) | 2-1 | National 3 - Group H |
| Feb 29, 2020 | Fabrègues(home) | 2-1 | National 3 - Group H |
How many goals should we expect?
Chamalières score 0.9 and concede 1.2 goals per match over their last 15; Canet Roussillon score 1.4 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Chamalières | 0.9 | 1.2 | 4 | 7/15 | 5/15 |
| Canet Roussillon | 1.4 | 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 |
|---|---|---|---|---|---|---|---|---|
| 6 | Chamalières | 30 | 12 | 8 | 10 | 36 | 30 | 44 |
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