Portalban / Gletterens vs Pully Football: result 2-0 and analysis
1. Liga Classic - Group 1Group 1 - 12Kick-off on October 29, 2023 at 02:00 PM (UTC)Centre Sportif Les Grèves, Portalban
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What was the result of Portalban / Gletterens vs Pully Football?
Portalban / Gletterens won 2-0 on October 29, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Portalban / Gletterens have 4 wins, 3 draws and 8 defeats; Pully Football have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2023 | Chênois(away) | 2-4 | Erste Liga Cup |
| Oct 14, 2023 | Monthey(away) | 0-0 | 1. Liga Classic - Group 1 |
| Oct 8, 2023 | Lausanne Sport II(home) | 1-4 | 1. Liga Classic - Group 1 |
| Sep 30, 2023 | Naters(away) | 0-3 | 1. Liga Classic - Group 1 |
| Sep 24, 2023 | Echallens(home) | 2-0 | 1. Liga Classic - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2023 | Vevey Sports(home) | 1-3 | Erste Liga Cup |
| Oct 14, 2023 | La Sarraz-Eclépens(home) | 2-0 | 1. Liga Classic - Group 1 |
| Oct 7, 2023 | Sion II(away) | 0-4 | 1. Liga Classic - Group 1 |
| Sep 30, 2023 | Meyrin(home) | 1-2 | 1. Liga Classic - Group 1 |
| Sep 23, 2023 | Yverdon Sport II(home) | 1-3 | 1. Liga Classic - Group 1 |
How many goals should we expect?
Portalban / Gletterens score 1.2 and concede 2.2 goals per match over their last 15; Pully Football score 1.5 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Portalban / Gletterens | 1.2 | 2.2 | 6 | 6/15 | 9/15 |
| Pully Football | 1.5 | 2.3 | 2 | 9/15 | 11/15 |
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 | Portalban / Gletterens | 3 | 1 | 1 | 1 | 4 | 3 | 4 |
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