Feldkirchen Kärnten vs Ferlach: result 2-1 and analysis
Landesliga - KarntenKärnten - 15Kick-off on November 2, 2019 at 03:00 PM (UTC)Sportplatz Feldkirchen, Feldkirchen
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What was the result of Feldkirchen Kärnten vs Ferlach?
Feldkirchen Kärnten won 2-1 on November 2, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Feldkirchen Kärnten have 3 wins, 6 draws and 6 defeats; Ferlach have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2019 | St. Jakob Rosental(away) | 1-2 | Landesliga - Karnten |
| Oct 18, 2019 | Spittal(home) | 1-2 | Landesliga - Karnten |
| Oct 12, 2019 | Dellach im Gailtal(away) | 3-3 | Landesliga - Karnten |
| Oct 4, 2019 | Bleiburg(home) | 1-3 | Landesliga - Karnten |
| Sep 27, 2019 | Treibach(away) | 0-2 | Landesliga - Karnten |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2019 | Köttmannsdorf(home) | 1-0 | Landesliga - Karnten |
| Oct 20, 2019 | Lendorf(away) | 0-1 | Landesliga - Karnten |
| Oct 12, 2019 | Völkermarkt(home) | 1-1 | Landesliga - Karnten |
| Oct 4, 2019 | Austria Klagenfurt(away) | 2-1 | Landesliga - Karnten |
| Sep 28, 2019 | St. Michael Bleiburg(home) | 0-2 | Landesliga - Karnten |
How many goals should we expect?
Feldkirchen Kärnten score 1.6 and concede 2.1 goals per match over their last 15; Ferlach score 1.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Feldkirchen Kärnten | 1.6 | 2.1 | 0 | 12/15 | 12/15 |
| Ferlach | 1.5 | 1.3 | 6 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Ferlach | 28 | 6 | 8 | 14 | 29 | 63 | 26 |
A question about Feldkirchen Kärnten vs Ferlach?
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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