Shkupi 1927 vs Belasica: result 1-0 and analysis
First LeagueRegular Season - 16Kick-off on November 25, 2018 at 12:00 PM (UTC)Stadion Čair, Skopje
Full time
What was the result of Shkupi 1927 vs Belasica?
Shkupi 1927 won 1-0 on November 25, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Shkupi 1927 have 4 wins, 4 draws and 7 defeats; Belasica have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 22, 2018 | Makedonija GjP(away) | 2-2 | First League |
| Nov 10, 2018 | Vardar Skopje(home) | 1-0 | First League |
| Nov 4, 2018 | Shkendija(away) | 0-3 | First League |
| Oct 31, 2018 | Akademija Pandev(home) | 1-0 | First League |
| Oct 28, 2018 | Pobeda(away) | 0-2 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 22, 2018 | Renova(home) | 3-1 | First League |
| Nov 10, 2018 | Makedonija GjP(home) | 1-4 | First League |
| Nov 4, 2018 | Vardar Skopje(away) | 1-1 | First League |
| Oct 31, 2018 | Shkendija(home) | 0-2 | First League |
| Oct 28, 2018 | Akademija Pandev(away) | 0-3 | First League |
What does the head-to-head say?
Across the last 1 meetings: 0 Shkupi 1927 win(s), 0 draw(s), 1 Belasica win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 26, 2018 | Belasica 1-0 Shkupi 1927 | First League |
Last archived meeting: Belasica vs Shkupi 1927 on Sep 26, 2018
How many goals should we expect?
Shkupi 1927 score 0.8 and concede 1.2 goals per match over their last 15; Belasica score 0.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Shkupi 1927 | 0.8 | 1.2 | 4 | 6/15 | 5/15 |
| Belasica | 0.9 | 1.5 | 3 | 8/15 | 5/15 |
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 | Shkupi 1927 | 33 | 0 | 1 | 32 | 15 | 130 | 1 |
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