Stade Payerne vs Italien: result 3-1 and analysis
2. Liga Interregional - Group 1Group 1 - 11Kick-off on October 29, 2022 at 03:30 PM (UTC)Stade Municipal, Payerne
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What was the result of Stade Payerne vs Italien?
Stade Payerne won 3-1 on October 29, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Stade Payerne have 4 wins, 3 draws and 8 defeats; Italien have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2022 | Printse-Nendaz(away) | 4-1 | 2. Liga Interregional - Group 1 |
| Oct 19, 2022 | Yverdon Sport II(home) | 1-3 | 2. Liga Interregional - Group 1 |
| Oct 15, 2022 | Plan-les-Ouates(home) | 4-1 | 2. Liga Interregional - Group 1 |
| Sep 25, 2022 | Olympique de Genève(away) | 0-2 | 2. Liga Interregional - Group 1 |
| Sep 17, 2022 | Veyrier Sports(home) | 1-1 | 2. Liga Interregional - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2022 | Amical Saint-Prex(home) | 0-3 | 2. Liga Interregional - Group 1 |
| Oct 15, 2022 | Echichens(away) | 2-5 | 2. Liga Interregional - Group 1 |
| Oct 8, 2022 | Thierrens(home) | 6-6 | 2. Liga Interregional - Group 1 |
| Oct 1, 2022 | UGS(away) | 1-2 | 2. Liga Interregional - Group 1 |
| Sep 24, 2022 | Collex-Bossy(home) | 0-1 | 2. Liga Interregional - Group 1 |
How many goals should we expect?
Stade Payerne score 1.6 and concede 2.3 goals per match over their last 15; Italien score 2.3 and concede 2.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Stade Payerne | 1.6 | 2.3 | 0 | 11/15 | 11/15 |
| Italien | 2.3 | 2.9 | 0 | 12/15 | 13/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Stade Payerne | 32 | 22 | 1 | 9 | 80 | 51 | 67 |
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