Match

ASK Klagenfurt vs Ferlach: result 2-1 and analysis

Landesliga - KarntenKärnten - 34Kick-off on June 15, 2022 at 04:30 PM (UTC)ASK-Sportanlage Fischl, Klagenfurt am Wörthersee

ASK Klagenfurt
2-1
Ferlach

Full time

What was the result of ASK Klagenfurt vs Ferlach?

ASK Klagenfurt won 2-1 on June 15, 2022.

What is the recent form of both teams?

Over their last 15 matches in all competitions, ASK Klagenfurt have 8 wins, 1 draw and 6 defeats; Ferlach have 6, 3 and 6.

The competition is shown for every match: in pre-season, several of these games are friendlies.

ASK Klagenfurt
DateOpponentScoreCompetition
Jun 10, 2022Lendorf(away)2-3Landesliga - Karnten
Jun 3, 2022Kraig(home)0-3Landesliga - Karnten
May 28, 2022KAC(away)1-1Landesliga - Karnten
May 25, 2022Köttmannsdorf(home)2-1Landesliga - Karnten
May 21, 2022Maria Saal(away)1-3Landesliga - Karnten
Ferlach
DateOpponentScoreCompetition
Jun 10, 2022Admira Villach(home)5-1Landesliga - Karnten
Jun 3, 2022Wolfsberg(away)2-1Landesliga - Karnten
May 28, 2022Feldkirchen Kärnten(home)1-3Landesliga - Karnten
May 25, 2022Dellach im Gailtal(away)2-0Landesliga - Karnten
May 21, 2022SAK Klagenfurt(home)1-3Landesliga - Karnten

What does the head-to-head say?

In the last meeting: 1 ASK Klagenfurt win, 0 draws, 0 Ferlach wins.

DateScoreCompetition
Nov 6, 2021Ferlach 0-2 ASK KlagenfurtLandesliga - Karnten

Last archived meeting: Ferlach vs ASK Klagenfurt on Nov 6, 2021

How many goals should we expect?

ASK Klagenfurt score 2.4 and concede 1.9 goals per match over their last 15; Ferlach score 1.5 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
ASK Klagenfurt2.41.9310/1511/15
Ferlach1.51.3310/157/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
15Ferlach286814296326

A question about ASK Klagenfurt vs Ferlach?

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

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