Labunishta vs Novaci: result 4-1 and analysis
Second LeagueWest - 19Kick-off on April 7, 2018 at 02:00 PM (UTC)Stadion Kalishta, Kalishta
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What was the result of Labunishta vs Novaci?
Labunishta won 4-1 on April 7, 2018.
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; Novaci have 1, 1 and 13.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 31, 2018 | Novaci(away) | 3-1 | Second League |
| Mar 18, 2018 | KF Gostivari(home) | 2-0 | Second League |
| Mar 10, 2018 | Gorno Lisiče(away) | 1-1 | Second League |
| Mar 6, 2018 | Lokomotiva(home) | 1-0 | Second League |
| Nov 25, 2017 | Zajazi(home) | 2-0 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 31, 2018 | Labunishta(home) | 1-3 | Second League |
| Mar 18, 2018 | Zajazi(away) | 0-1 | Second League |
| Mar 10, 2018 | Velazerimi 77(home) | 0-3 | Second League |
| Mar 6, 2018 | Makedonija GjP(away) | 0-1 | Second League |
| Nov 25, 2017 | Teteks(home) | 1-2 | Second League |
What does the head-to-head say?
Across the last 2 meetings: 2 Labunishta win(s), 0 draw(s), 0 Novaci win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 31, 2018 | Novaci 1-3 Labunishta | Second League |
| Oct 21, 2017 | Labunishta 1-0 Novaci | Second League |
How many goals should we expect?
Labunishta score 1.1 and concede 0.6 goals per match over their last 15; Novaci score 1.0 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Labunishta | 1.1 | 0.6 | 8 | 5/15 | 3/15 |
| Novaci | 1.0 | 2.0 | 0 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Novaci | 2 | 0 | 0 | 2 | 1 | 3 | 0 |
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