Olympique Lyonnais II vs Canet Roussillon: result 0-0 and analysis
National 2 - Group CGroup C - 15Kick-off on January 14, 2023 at 03:00 PM (UTC)Terrain d'honneur Gérard Houllier, Décines-Charpieu
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What was the result of Olympique Lyonnais II vs Canet Roussillon?
Olympique Lyonnais II and Canet Roussillon drew 0-0 on January 14, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Olympique Lyonnais II have 5 wins, 3 draws and 7 defeats; Canet Roussillon have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 17, 2022 | Marignane(away) | 1-0 | National 2 - Group C |
| Dec 14, 2022 | Hyères(away) | 1-2 | National 2 - Group C |
| Dec 10, 2022 | Toulon(home) | 1-0 | National 2 - Group C |
| Dec 3, 2022 | Thonon Évian(away) | 1-1 | National 2 - Group C |
| Nov 25, 2022 | Saint-Priest(away) | 1-1 | National 2 - Group C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 17, 2022 | Saint-Priest(home) | 0-0 | National 2 - Group C |
| Dec 13, 2022 | Aubagne(away) | 0-2 | National 2 - Group C |
| Dec 10, 2022 | Olympique d'Alès(away) | 0-0 | National 2 - Group C |
| Dec 3, 2022 | Louhans-Cuiseaux(home) | 0-0 | National 2 - Group C |
| Nov 26, 2022 | Grasse(away) | 2-1 | National 2 - Group C |
How many goals should we expect?
Olympique Lyonnais II score 0.9 and concede 1.4 goals per match over their last 15; Canet Roussillon score 0.7 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Olympique Lyonnais II | 0.9 | 1.4 | 3 | 7/15 | 6/15 |
| Canet Roussillon | 0.7 | 0.9 | 7 | 4/15 | 3/15 |
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 | Canet Roussillon | 1 | 0 | 0 | 1 | 1 | 3 | 0 |
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