Dellach im Gailtal vs Feldkirchen Kärnten: result 3-3 and analysis
Landesliga - KarntenKärnten - 12Kick-off on October 12, 2019 at 02:00 PM (UTC)Sportplatz SV Dellach/Gail, Dellach/Gail
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What was the result of Dellach im Gailtal vs Feldkirchen Kärnten?
Dellach im Gailtal and Feldkirchen Kärnten drew 3-3 on October 12, 2019.
What is the recent form of both teams?
Over their last 11 matches in all competitions, Dellach im Gailtal have 5 wins, 2 draws and 4 defeats; Feldkirchen Kärnten have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2019 | Köttmannsdorf(away) | 2-0 | Landesliga - Karnten |
| Sep 29, 2019 | Lendorf(home) | 3-3 | Landesliga - Karnten |
| Sep 21, 2019 | Völkermarkt(away) | 2-3 | Landesliga - Karnten |
| Sep 15, 2019 | Austria Klagenfurt(home) | 2-0 | Landesliga - Karnten |
| Sep 8, 2019 | St. Michael Bleiburg(away) | 2-2 | Landesliga - Karnten |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 4, 2019 | Bleiburg(home) | 1-3 | Landesliga - Karnten |
| Sep 27, 2019 | Treibach(away) | 0-2 | Landesliga - Karnten |
| Sep 20, 2019 | Austria Klagenfurt(home) | 3-1 | Landesliga - Karnten |
| Sep 14, 2019 | Gmünd(away) | 0-4 | Landesliga - Karnten |
| Sep 8, 2019 | Köttmannsdorf(away) | 1-1 | Landesliga - Karnten |
How many goals should we expect?
Dellach im Gailtal score 2.7 and concede 2.2 goals per match over their last 11; Feldkirchen Kärnten score 1.3 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dellach im Gailtal | 2.7 | 2.2 | 3 | 8/11 | 9/11 |
| Feldkirchen Kärnten | 1.3 | 2.3 | 0 | 9/15 | 11/15 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Dellach im Gailtal | 28 | 11 | 7 | 10 | 52 | 45 | 40 |
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