Sileks vs Belasica: result 2-1 and analysis
First LeagueRegular Season - 36Kick-off on May 26, 2019 at 02:30 PM (UTC)Gradski stadion Kratovo, Kratovo
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What was the result of Sileks vs Belasica?
Sileks won 2-1 on May 26, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sileks have 6 wins, 3 draws and 6 defeats; Belasica have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2019 | Makedonija GjP(away) | 0-2 | First League |
| May 12, 2019 | Vardar Skopje(home) | 1-0 | First League |
| May 8, 2019 | Shkendija(away) | 0-0 | First League |
| May 4, 2019 | Akademija Pandev(home) | 3-0 | First League |
| Apr 27, 2019 | Pobeda(away) | 1-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2019 | FK Rabotnicki(home) | 0-1 | First League |
| May 12, 2019 | Shkupi 1927(away) | 2-2 | First League |
| May 8, 2019 | Renova(home) | 3-2 | First League |
| May 4, 2019 | Makedonija GjP(home) | 3-1 | First League |
| Apr 27, 2019 | Vardar Skopje(away) | 1-1 | First League |
What does the head-to-head say?
Across the last 3 meetings: 2 Sileks win(s), 1 draw(s), 0 Belasica win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 7, 2019 | Belasica 0-1 Sileks | First League |
| Dec 2, 2018 | Sileks 1-0 Belasica | First League |
| Oct 6, 2018 | Belasica 1-1 Sileks | First League |
How many goals should we expect?
Sileks score 0.7 and concede 0.8 goals per match over their last 15; Belasica score 1.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sileks | 0.7 | 0.8 | 8 | 2/15 | 3/15 |
| Belasica | 1.3 | 1.3 | 3 | 9/15 | 7/15 |
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