Taverne vs Ibach: result 3-1 and analysis
2. Liga Interregional - Group 4Group 4 - 13Kick-off on November 13, 2021 at 04:30 PM (UTC)Campo comunale Taverne, Taverne
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What was the result of Taverne vs Ibach?
Taverne won 3-1 on November 13, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Taverne have 10 wins, 1 draw and 4 defeats; Ibach have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 7, 2021 | Gambarogno - Contone(away) | 1-0 | 2. Liga Interregional - Group 4 |
| Oct 30, 2021 | Schattdorf(home) | 2-1 | 2. Liga Interregional - Group 4 |
| Oct 24, 2021 | Novazzano(away) | 1-1 | 2. Liga Interregional - Group 4 |
| Oct 16, 2021 | Goldau(home) | 1-3 | 2. Liga Interregional - Group 4 |
| Oct 9, 2021 | Kickers Luzern(away) | 2-0 | 2. Liga Interregional - Group 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2021 | Brunnen(home) | 2-1 | 2. Liga Interregional - Group 4 |
| Oct 30, 2021 | Eschenbach(away) | 2-2 | 2. Liga Interregional - Group 4 |
| Oct 23, 2021 | Mendrisio(home) | 2-1 | 2. Liga Interregional - Group 4 |
| Oct 16, 2021 | Ascona(home) | 1-2 | 2. Liga Interregional - Group 4 |
| Oct 9, 2021 | Gambarogno - Contone(away) | 1-2 | 2. Liga Interregional - Group 4 |
What does the head-to-head say?
In the last meeting: 1 Taverne win, 0 draws, 0 Ibach wins.
| Date | Score | Competition |
|---|---|---|
| Sep 5, 2020 | Taverne 1-0 Ibach | 2. Liga Interregional - Group 4 |
How many goals should we expect?
Taverne score 1.8 and concede 1.1 goals per match over their last 15; Ibach score 1.7 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Taverne | 1.8 | 1.1 | 8 | 7/15 | 8/15 |
| Ibach | 1.7 | 2.0 | 2 | 9/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Taverne vs Ibach?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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