Struga vs Labunishta: result 6-1 and analysis
Second LeagueWest - 27Kick-off on May 25, 2019 at 02:30 PM (UTC)Gradska Plaža Stadium, Struga
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What was the result of Struga vs Labunishta?
Struga won 6-1 on May 25, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Struga have 8 wins, 6 draws and 1 defeats; Labunishta have 6, 6 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2019 | Skopje(away) | 0-1 | Second League |
| May 11, 2019 | KF Gostivari(home) | 0-0 | Second League |
| May 4, 2019 | Pelister(away) | 1-1 | Second League |
| Apr 26, 2019 | Teteks(home) | 1-0 | Second League |
| Apr 19, 2019 | Gench Kalemler(away) | 1-0 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2019 | Velazerimi 77(home) | 1-2 | Second League |
| May 11, 2019 | Skopje(home) | 2-1 | Second League |
| May 4, 2019 | KF Gostivari(away) | 2-2 | Second League |
| Apr 27, 2019 | Pelister(home) | 0-0 | Second League |
| Apr 20, 2019 | Teteks(away) | 1-0 | Second League |
What does the head-to-head say?
Across the last 5 meetings: 2 Struga win(s), 3 draw(s), 0 Labunishta win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 9, 2019 | Struga 0-0 Labunishta | Second League |
| Sep 25, 2018 | Labunishta 2-2 Struga | Second League |
| Apr 17, 2018 | Struga 1-0 Labunishta | Second League |
| Oct 28, 2017 | Labunishta 0-0 Struga | Second League |
| Aug 27, 2017 | Struga 2-0 Labunishta | Second League |
How many goals should we expect?
Struga score 1.5 and concede 0.3 goals per match over their last 15; Labunishta score 0.8 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Struga | 1.5 | 0.3 | 10 | 4/15 | 4/15 |
| Labunishta | 0.8 | 0.5 | 10 | 3/15 | 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