Pelister vs Sileks: result 1-2 and analysis
First LeagueRegular Season - 12Kick-off on October 25, 2017 at 12:30 PM (UTC)Stadion Petar Miloševski, Bitola
Full time
What was the result of Pelister vs Sileks?
Sileks won 1-2 on October 25, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pelister have 3 wins, 3 draws and 9 defeats; Sileks 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 |
|---|---|---|---|
| Oct 22, 2017 | FK Rabotnicki(away) | 0-2 | First League |
| Oct 14, 2017 | Pobeda(home) | 2-1 | First League |
| Sep 30, 2017 | Shkendija(home) | 1-3 | First League |
| Sep 27, 2017 | Shkupi 1927(away) | 1-1 | First League |
| Sep 24, 2017 | Vardar Skopje(home) | 0-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2017 | Renova(home) | 0-0 | First League |
| Oct 14, 2017 | Skopje(away) | 1-1 | First League |
| Sep 30, 2017 | Akademija Pandev(home) | 1-0 | First League |
| Sep 27, 2017 | FK Rabotnicki(away) | 0-0 | First League |
| Sep 24, 2017 | Pobeda(home) | 1-0 | First League |
What does the head-to-head say?
Across the last 5 meetings: 1 Pelister win(s), 4 draw(s), 0 Sileks win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 26, 2017 | Sileks 1-4 Pelister | First League |
| May 21, 2017 | Sileks 3-3 Pelister | First League |
| Apr 5, 2017 | Pelister 0-0 Sileks | First League |
| Nov 27, 2016 | Sileks 0-0 Pelister | First League |
| Sep 25, 2016 | Pelister 0-0 Sileks | First League |
How many goals should we expect?
Pelister score 0.9 and concede 1.8 goals per match over their last 15; Sileks score 0.9 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pelister | 0.9 | 1.8 | 1 | 8/15 | 8/15 |
| Sileks | 0.9 | 1.2 | 8 | 4/15 | 5/15 |
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