Labunishta vs Gench Kalemler: result 0-0 and analysis
Second LeagueWest - 21Kick-off on April 13, 2019 at 02:00 PM (UTC)Stadion Kalishta, Kalishta
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What was the result of Labunishta vs Gench Kalemler?
Labunishta and Gench Kalemler drew 0-0 on April 13, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Labunishta have 6 wins, 7 draws and 2 defeats; Gench Kalemler 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 |
|---|---|---|---|
| Apr 6, 2019 | Goblen Junior Kumanovo(away) | 1-0 | Second League |
| Apr 2, 2019 | Korab Debar(home) | 1-0 | Second League |
| Mar 30, 2019 | KF Gostivari(home) | 0-1 | Second League |
| Mar 23, 2019 | Pelister(away) | 0-1 | Second League |
| Mar 17, 2019 | Teteks(home) | 0-0 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 6, 2019 | Skopje(home) | 1-0 | Second League |
| Apr 2, 2019 | KF Gostivari(away) | 0-1 | Second League |
| Mar 30, 2019 | Struga(home) | 0-2 | Second League |
| Mar 24, 2019 | Goblen Junior Kumanovo(away) | 0-1 | Second League |
| Mar 17, 2019 | Velazerimi 77(away) | 1-1 | Second League |
What does the head-to-head say?
Across the last 2 meetings: 1 Labunishta win(s), 1 draw(s), 0 Gench Kalemler win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 8, 2018 | Gench Kalemler 0-0 Labunishta | Second League |
| Sep 16, 2018 | Labunishta 1-0 Gench Kalemler | Second League |
Last archived meeting: Gench Kalemler vs Labunishta on Nov 8, 2018
How many goals should we expect?
Labunishta score 0.9 and concede 0.5 goals per match over their last 15; Gench Kalemler score 0.7 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Labunishta | 0.9 | 0.5 | 9 | 4/15 | 3/15 |
| Gench Kalemler | 0.7 | 1.2 | 4 | 5/15 | 3/15 |
Over the last 15 matches in all competitions.
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