Sileks vs Belasica: result 1-0 and analysis
First LeagueRegular Season - 18Kick-off on December 2, 2018 at 12:00 PM (UTC)Gradski stadion Kratovo, Kratovo
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What was the result of Sileks vs Belasica?
Sileks won 1-0 on December 2, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sileks have 3 wins, 5 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 28, 2018 | Makedonija GjP(away) | 1-1 | First League |
| Nov 25, 2018 | Vardar Skopje(home) | 0-1 | First League |
| Nov 22, 2018 | Shkendija(away) | 0-5 | First League |
| Nov 10, 2018 | Akademija Pandev(home) | 1-0 | First League |
| Nov 4, 2018 | Pobeda(away) | 0-2 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 28, 2018 | FK Rabotnicki(home) | 1-2 | First League |
| Nov 25, 2018 | Shkupi 1927(away) | 0-1 | First League |
| 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 |
What does the head-to-head say?
In the last meeting: 0 Sileks wins, 1 draw, 0 Belasica wins.
| Date | Score | Competition |
|---|---|---|
| Oct 6, 2018 | Belasica 1-1 Sileks | First League |
How many goals should we expect?
Sileks score 0.6 and concede 1.3 goals per match over their last 15; Belasica score 1.0 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sileks | 0.6 | 1.3 | 4 | 5/15 | 3/15 |
| Belasica | 1.0 | 1.5 | 3 | 9/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Sileks | 10 | 3 | 4 | 3 | 17 | 11 | 13 |
A question about Sileks vs Belasica?
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