Ascona vs Perlen-Buchrain: result 3-2 and analysis
2. Liga Interregional - Group 4Group 4 - 10Kick-off on October 23, 2021 at 04:30 PM (UTC)Stadio Comunale, Ascona
Full time
What was the result of Ascona vs Perlen-Buchrain?
Ascona won 3-2 on October 23, 2021.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Ascona have 6 wins, 2 draws and 1 defeat; Perlen-Buchrain have 6, 1 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2021 | Ibach(away) | 2-1 | 2. Liga Interregional - Group 4 |
| Oct 9, 2021 | Hergiswil(home) | 1-0 | 2. Liga Interregional - Group 4 |
| Oct 2, 2021 | Gambarogno - Contone(away) | 2-0 | 2. Liga Interregional - Group 4 |
| Sep 25, 2021 | Emmenbrücke(home) | 4-3 | 2. Liga Interregional - Group 4 |
| Sep 18, 2021 | Schattdorf(away) | 5-0 | 2. Liga Interregional - Group 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2021 | Hergiswil(away) | 1-0 | 2. Liga Interregional - Group 4 |
| Oct 9, 2021 | Emmenbrücke(home) | 1-2 | 2. Liga Interregional - Group 4 |
| Oct 2, 2021 | Taverne(away) | 0-3 | 2. Liga Interregional - Group 4 |
| Sep 26, 2021 | Brunnen(home) | 1-0 | 2. Liga Interregional - Group 4 |
| Sep 18, 2021 | Eschenbach(away) | 1-2 | 2. Liga Interregional - Group 4 |
How many goals should we expect?
Ascona score 2.7 and concede 1.6 goals per match over their last 9; Perlen-Buchrain score 1.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ascona | 2.7 | 1.6 | 3 | 6/9 | 7/9 |
| Perlen-Buchrain | 1.3 | 1.5 | 4 | 5/15 | 9/15 |
Over the last 9 matches in all competitions.
A question about Ascona vs Perlen-Buchrain?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy