Taverne vs Ascona: result 2-1 and analysis
2. Liga Interregional - Group 4Group 4 - 17Kick-off on April 2, 2022 at 03:00 PM (UTC)Campo comunale Taverne, Taverne
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What was the result of Taverne vs Ascona?
Taverne won 2-1 on April 2, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Taverne have 11 wins, 1 draw and 3 defeats; Ascona have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 26, 2022 | Brunnen(home) | 5-0 | 2. Liga Interregional - Group 4 |
| Mar 19, 2022 | Eschenbach(away) | 3-1 | 2. Liga Interregional - Group 4 |
| Mar 12, 2022 | Mendrisio(home) | 0-2 | 2. Liga Interregional - Group 4 |
| Nov 13, 2021 | Ibach(home) | 3-1 | 2. Liga Interregional - Group 4 |
| Nov 7, 2021 | Gambarogno - Contone(away) | 1-0 | 2. Liga Interregional - Group 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 26, 2022 | Novazzano(home) | 3-0 | 2. Liga Interregional - Group 4 |
| Mar 19, 2022 | Brunnen(away) | 3-1 | 2. Liga Interregional - Group 4 |
| Mar 12, 2022 | Goldau(home) | 0-0 | 2. Liga Interregional - Group 4 |
| Nov 13, 2021 | Eschenbach(away) | 3-4 | 2. Liga Interregional - Group 4 |
| Nov 6, 2021 | Kickers Luzern(home) | 0-0 | 2. Liga Interregional - Group 4 |
What does the head-to-head say?
In the last meeting: 1 Taverne win, 0 draws, 0 Ascona wins.
| Date | Score | Competition |
|---|---|---|
| Sep 11, 2021 | Ascona 2-3 Taverne | 2. Liga Interregional - Group 4 |
How many goals should we expect?
Taverne score 2.0 and concede 0.9 goals per match over their last 15; Ascona score 2.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Taverne | 2.0 | 0.9 | 7 | 7/15 | 9/15 |
| Ascona | 2.3 | 1.5 | 6 | 9/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Taverne vs Ascona?
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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