Châtel-St-Denis vs Perly-Certoux: result 4-2 and analysis
2. Liga Interregional - Group 1Group 1 - 8Kick-off on September 30, 2023 at 03:00 PM (UTC)Stade du Lussy, Châtel-Saint-Denis
Full time
What was the result of Châtel-St-Denis vs Perly-Certoux?
Châtel-St-Denis won 4-2 on September 30, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Châtel-St-Denis have 6 wins, 5 draws and 4 defeats; Perly-Certoux have 3, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2023 | Veyrier Sports(away) | 4-1 | 2. Liga Interregional - Group 1 |
| Sep 16, 2023 | Collex-Bossy(home) | 1-1 | 2. Liga Interregional - Group 1 |
| Sep 9, 2023 | Farvagny / Ogoz(away) | 4-2 | 2. Liga Interregional - Group 1 |
| Sep 2, 2023 | Stade Payerne(home) | 0-1 | 2. Liga Interregional - Group 1 |
| Aug 26, 2023 | Olympique de Genève(away) | 2-1 | 2. Liga Interregional - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 27, 2023 | Veyrier Sports(home) | 2-3 | 2. Liga Interregional - Group 1 |
| Sep 23, 2023 | Collex-Bossy(away) | 6-2 | 2. Liga Interregional - Group 1 |
| Sep 20, 2023 | Romontois(home) | 3-1 | 2. Liga Interregional - Group 1 |
| Sep 17, 2023 | Farvagny / Ogoz(home) | 1-1 | 2. Liga Interregional - Group 1 |
| Sep 9, 2023 | Stade Payerne(away) | 1-2 | 2. Liga Interregional - Group 1 |
How many goals should we expect?
Châtel-St-Denis score 2.2 and concede 1.3 goals per match over their last 15; Perly-Certoux score 1.8 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Châtel-St-Denis | 2.2 | 1.3 | 3 | 10/15 | 11/15 |
| Perly-Certoux | 1.8 | 2.0 | 1 | 7/9 | 7/9 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | Châtel-St-Denis | 30 | 4 | 5 | 21 | 18 | 67 | 17 |
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