Kosova vs Tuggen: result 1-2 and analysis
1. Liga Classic - Group 3Group 3 - 9Kick-off on September 29, 2019 at 01:30 PM (UTC)Sportplatz Buchlern, Zürich
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What was the result of Kosova vs Tuggen?
Tuggen won 1-2 on September 29, 2019.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Kosova have 3 wins, 2 draws and 3 defeats; Tuggen have 6, 0 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2019 | Balzers(away) | 0-1 | 1. Liga Classic - Group 3 |
| Sep 14, 2019 | Paradiso(home) | 2-1 | 1. Liga Classic - Group 3 |
| Sep 10, 2019 | Wettswil-Bonstetten(away) | 1-1 | 1. Liga Classic - Group 3 |
| Sep 1, 2019 | Höngg(home) | 2-1 | 1. Liga Classic - Group 3 |
| Aug 28, 2019 | Linth(home) | 1-1 | 1. Liga Classic - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 20, 2019 | Linth(home) | 2-0 | 1. Liga Classic - Group 3 |
| Sep 14, 2019 | Eschen / Mauren(away) | 2-3 | 1. Liga Classic - Group 3 |
| Sep 7, 2019 | Gossau(home) | 2-1 | 1. Liga Classic - Group 3 |
| Sep 1, 2019 | Winterthur II(away) | 2-0 | 1. Liga Classic - Group 3 |
| Aug 24, 2019 | St. Gallen II(home) | 5-1 | 1. Liga Classic - Group 3 |
How many goals should we expect?
Kosova score 1.1 and concede 1.3 goals per match over their last 8; Tuggen score 2.6 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kosova | 1.1 | 1.3 | 0 | 5/8 | 3/8 |
| Tuggen | 2.6 | 1.6 | 2 | 5/8 | 6/8 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
Kosova sit 6th in 1. Liga Classic - Group 3 (5 points from 3 matches) and Tuggen sit 1st (9 points from 3 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Tuggen | 3 | 3 | 0 | 0 | 8 | 2 | 9 |
| 6 | Kosova | 3 | 1 | 2 | 0 | 3 | 2 | 5 |
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