Novaci vs Labunishta: result 1-3 and analysis
Second LeagueWest - 18Kick-off on March 31, 2018 at 01:00 PM (UTC)Stadion Metallurg, Novatsi
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What was the result of Novaci vs Labunishta?
Labunishta won 1-3 on March 31, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Novaci have 1 win, 2 draws and 12 defeats; Labunishta have 5, 8 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Nov 18, 2017 | Struga(away) | 1-3 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Nov 19, 2017 | Velazerimi 77(away) | 1-1 | Second League |
What does the head-to-head say?
In the last meeting: 0 Novaci wins, 0 draws, 1 Labunishta win.
| Date | Score | Competition |
|---|---|---|
| Oct 21, 2017 | Labunishta 1-0 Novaci | Second League |
How many goals should we expect?
Novaci score 1.0 and concede 1.9 goals per match over their last 15; Labunishta score 0.9 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Novaci | 1.0 | 1.9 | 0 | 9/15 | 9/15 |
| Labunishta | 0.9 | 0.6 | 8 | 5/15 | 2/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Novaci | 6 | 2 | 1 | 3 | 5 | 5 | 7 |
A question about Novaci vs Labunishta?
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