Sileks vs Shkendija: result 1-3 and analysis
First LeagueRegular Season - 10Kick-off on October 16, 2016 at 12:30 PM (UTC)Gradski stadion Kratovo, Kratovo
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What was the result of Sileks vs Shkendija?
Shkendija won 1-3 on October 16, 2016.
What is the recent form of both teams?
Over their last 11 matches in all competitions, Sileks have 2 wins, 4 draws and 5 defeats; Shkendija have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2016 | Vardar Skopje(home) | 1-3 | First League |
| Sep 28, 2016 | Shkupi 1927(away) | 1-1 | First League |
| Sep 25, 2016 | Pelister(away) | 0-0 | First League |
| Sep 18, 2016 | Renova(home) | 0-0 | First League |
| Sep 10, 2016 | FK Rabotnicki(away) | 1-3 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2016 | Pelister(away) | 2-1 | First League |
| Sep 28, 2016 | Renova(home) | 1-1 | First League |
| Sep 24, 2016 | FK Rabotnicki(away) | 3-1 | First League |
| Sep 18, 2016 | Makedonija GjP(home) | 3-0 | First League |
| Sep 11, 2016 | Bregalnica Štip(away) | 1-1 | First League |
What does the head-to-head say?
Across the last 1 meetings: 0 Sileks win(s), 0 draw(s), 1 Shkendija win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 8, 2016 | Shkendija 2-1 Sileks | First League |
How many goals should we expect?
Sileks score 1.0 and concede 1.5 goals per match over their last 11; Shkendija score 1.4 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sileks | 1.0 | 1.5 | 3 | 8/11 | 6/11 |
| Shkendija | 1.4 | 1.1 | 4 | 8/15 | 9/15 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
Sileks sit 2nd in First League (7 points from 3 matches) and Shkendija sit 1st (9 points from 3 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Shkendija | 3 | 3 | 0 | 0 | 9 | 1 | 9 |
| 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