Zajazi vs Labunishta: result 1-7 and analysis
Second LeagueWest - 27Kick-off on May 19, 2018 at 02:30 PM (UTC)
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What was the result of Zajazi vs Labunishta?
Labunishta won 1-7 on May 19, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Zajazi have 2 wins, 2 draws and 11 defeats; Labunishta have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2018 | Novaci(away) | 1-1 | Second League |
| May 5, 2018 | Gorno Lisiče(away) | 1-1 | Second League |
| Apr 28, 2018 | Lokomotiva(home) | 3-4 | Second League |
| Apr 24, 2018 | Teteks(away) | 2-4 | Second League |
| Apr 21, 2018 | KF Gostivari(home) | 1-4 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2018 | Lokomotiva(home) | 2-1 | Second League |
| May 5, 2018 | Teteks(away) | 1-2 | Second League |
| Apr 28, 2018 | KF Gostivari(home) | 1-1 | Second League |
| Apr 25, 2018 | Makedonija GjP(away) | 2-3 | Second League |
| Apr 22, 2018 | Velazerimi 77(home) | 1-2 | Second League |
What does the head-to-head say?
Across the last 2 meetings: 1 Zajazi win, 0 draws, 1 Labunishta win.
| Date | Score | Competition |
|---|---|---|
| Nov 25, 2017 | Labunishta 2-0 Zajazi | Second League |
| Sep 26, 2017 | Zajazi 1-0 Labunishta | Second League |
How many goals should we expect?
Zajazi score 1.0 and concede 2.5 goals per match over their last 15; Labunishta score 1.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Zajazi | 1.0 | 2.5 | 2 | 9/15 | 9/15 |
| Labunishta | 1.7 | 1.1 | 3 | 11/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Zajazi vs Labunishta?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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