Kosova vs Dietikon: result 2-2 and analysis
1. Liga Classic - Group 3Group 3 - 11Kick-off on October 20, 2019 at 01:30 PM (UTC)Sportplatz Buchlern, Zürich
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What was the result of Kosova vs Dietikon?
Kosova and Dietikon drew 2-2 on October 20, 2019.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Kosova have 3 wins, 2 draws and 5 defeats; Dietikon have 4, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 12, 2019 | Red Star Zürich(away) | 2-6 | 1. Liga Classic - Group 3 |
| Sep 29, 2019 | Tuggen(home) | 1-2 | 1. Liga Classic - Group 3 |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 12, 2019 | Linth(home) | 2-0 | 1. Liga Classic - Group 3 |
| Sep 28, 2019 | Eschen / Mauren(away) | 2-1 | 1. Liga Classic - Group 3 |
| Sep 21, 2019 | Gossau(home) | 0-1 | 1. Liga Classic - Group 3 |
| Sep 14, 2019 | Winterthur II(away) | 2-2 | 1. Liga Classic - Group 3 |
| Sep 7, 2019 | St. Gallen II(home) | 0-2 | 1. Liga Classic - Group 3 |
How many goals should we expect?
Kosova score 1.2 and concede 1.8 goals per match over their last 10; Dietikon score 1.7 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kosova | 1.2 | 1.8 | 0 | 7/10 | 5/10 |
| Dietikon | 1.7 | 1.7 | 2 | 5/10 | 5/10 |
Over the last 10 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 Dietikon sit 5th (6 points from 3 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Dietikon | 3 | 2 | 0 | 1 | 4 | 4 | 6 |
| 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