Düdingen vs Farvagny / Ogoz: result 3-0 and analysis
2. Liga Interregional - Group 2Group 2 - 11Kick-off on June 12, 2021 at 02:30 PM (UTC)Sportanlage Birchhölzli, Düdingen
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What was the result of Düdingen vs Farvagny / Ogoz?
Düdingen won 3-0 on June 12, 2021.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Düdingen have 2 wins, 3 draws and 3 defeats; Farvagny / Ogoz 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 |
|---|---|---|---|
| Jun 5, 2021 | Echichens(away) | 2-0 | 2. Liga Interregional - Group 2 |
| Oct 17, 2020 | Fribourg(home) | 2-2 | 2. Liga Interregional - Group 2 |
| Oct 10, 2020 | Romontois(away) | 0-0 | 2. Liga Interregional - Group 2 |
| Oct 3, 2020 | La Tour / Le Pâquier(home) | 1-4 | 2. Liga Interregional - Group 2 |
| Sep 19, 2020 | Portalban / Gletterens(home) | 1-1 | 2. Liga Interregional - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 5, 2021 | Neuchâtel Xamax II(home) | 0-1 | 2. Liga Interregional - Group 2 |
| Oct 18, 2020 | La Sarraz-Eclépens(away) | 0-2 | 2. Liga Interregional - Group 2 |
| Oct 14, 2020 | Stade Payerne(away) | 1-0 | 2. Liga Interregional - Group 2 |
| Oct 10, 2020 | Piamont(home) | 1-2 | 2. Liga Interregional - Group 2 |
| Sep 26, 2020 | Le Locle Sports(home) | 2-2 | 2. Liga Interregional - Group 2 |
How many goals should we expect?
Düdingen score 1.6 and concede 1.8 goals per match over their last 8; Farvagny / Ogoz score 1.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Düdingen | 1.6 | 1.8 | 2 | 6/8 | 5/8 |
| Farvagny / Ogoz | 1.3 | 1.3 | 2 | 5/9 | 6/9 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Düdingen | 30 | 15 | 8 | 7 | 52 | 40 | 53 |
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