Belasica vs Sileks: result 0-1 and analysis
First LeagueRegular Season - 27Kick-off on April 7, 2019 at 01:30 PM (UTC)Stadion Blagoj Istatov, Strumica
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What was the result of Belasica vs Sileks?
Sileks won 0-1 on April 7, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Belasica have 2 wins, 4 draws and 9 defeats; Sileks have 3, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 3, 2019 | FK Rabotnicki(away) | 1-1 | First League |
| Mar 31, 2019 | Shkupi 1927(home) | 2-0 | First League |
| Mar 28, 2019 | Renova(away) | 2-3 | First League |
| Mar 16, 2019 | Makedonija GjP(away) | 1-2 | First League |
| Mar 10, 2019 | Vardar Skopje(home) | 0-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 3, 2019 | Makedonija GjP(home) | 1-1 | First League |
| Mar 31, 2019 | Vardar Skopje(away) | 0-1 | First League |
| Mar 28, 2019 | Shkendija(home) | 0-3 | First League |
| Mar 16, 2019 | Akademija Pandev(away) | 0-2 | First League |
| Mar 10, 2019 | Pobeda(home) | 1-0 | First League |
What does the head-to-head say?
Across the last 2 meetings: 0 Belasica win(s), 1 draw(s), 1 Sileks win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 2, 2018 | Sileks 1-0 Belasica | First League |
| Oct 6, 2018 | Belasica 1-1 Sileks | First League |
How many goals should we expect?
Belasica score 0.9 and concede 1.5 goals per match over their last 15; Sileks score 0.6 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Belasica | 0.9 | 1.5 | 2 | 8/15 | 6/15 |
| Sileks | 0.6 | 1.3 | 4 | 5/15 | 3/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Sileks | 3 | 2 | 1 | 0 | 10 | 1 | 7 |
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