Sileks vs Shkupi 1927: result 1-0 and analysis
First LeagueRegular Season - 17Kick-off on November 30, 2016 at 12:00 PM (UTC)Gradski stadion Kratovo, Kratovo
Full time
What was the result of Sileks vs Shkupi 1927?
Sileks won 1-0 on November 30, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sileks have 4 wins, 8 draws and 3 defeats; Shkupi 1927 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 |
|---|---|---|---|
| Nov 27, 2016 | Pelister(home) | 0-0 | First League |
| Nov 20, 2016 | Renova(away) | 2-2 | First League |
| Nov 16, 2016 | FK Rabotnicki(home) | 2-1 | First League |
| Nov 5, 2016 | Makedonija GjP(away) | 1-1 | First League |
| Oct 30, 2016 | Bregalnica Štip(home) | 1-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 27, 2016 | Bregalnica Štip(home) | 1-1 | First League |
| Nov 20, 2016 | Pelister(away) | 0-2 | First League |
| Nov 16, 2016 | Pobeda(home) | 1-1 | First League |
| Nov 5, 2016 | Renova(away) | 0-1 | First League |
| Oct 30, 2016 | Shkendija(home) | 0-0 | First League |
What does the head-to-head say?
Across the last 1 meetings: 0 Sileks win(s), 1 draw(s), 0 Shkupi 1927 win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 28, 2016 | Shkupi 1927 1-1 Sileks | First League |
Last archived meeting: Shkupi 1927 vs Sileks on Sep 28, 2016
How many goals should we expect?
Sileks score 1.1 and concede 1.1 goals per match over their last 15; Shkupi 1927 score 0.6 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sileks | 1.1 | 1.1 | 5 | 10/15 | 6/15 |
| Shkupi 1927 | 0.6 | 0.9 | 5 | 6/15 | 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