Pobeda vs Sileks: result 0-2 and analysis
First LeagueRegular Season - 16Kick-off on November 19, 2017 at 12:00 PM (UTC)Stadion Goce Delčev, Prilep
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What was the result of Pobeda vs Sileks?
Sileks won 0-2 on November 19, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pobeda have 4 wins, 3 draws and 8 defeats; Sileks have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 16, 2017 | FK Rabotnicki(away) | 0-4 | First League |
| Nov 5, 2017 | Akademija Pandev(away) | 1-0 | First League |
| Oct 29, 2017 | Shkendija(home) | 0-2 | First League |
| Oct 25, 2017 | Shkupi 1927(away) | 0-1 | First League |
| Oct 22, 2017 | Vardar Skopje(home) | 1-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 16, 2017 | Shkendija(home) | 0-2 | First League |
| Nov 5, 2017 | Shkupi 1927(away) | 1-0 | First League |
| Oct 29, 2017 | Vardar Skopje(home) | 0-0 | First League |
| Oct 25, 2017 | Pelister(away) | 2-1 | First League |
| Oct 22, 2017 | Renova(home) | 0-0 | First League |
What does the head-to-head say?
Across the last 5 meetings: 1 Pobeda win(s), 1 draw(s), 3 Sileks win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 24, 2017 | Sileks 1-0 Pobeda | First League |
| Apr 26, 2017 | Pobeda 1-0 Sileks | First League |
| Feb 26, 2017 | Sileks 2-0 Pobeda | First League |
| Oct 23, 2016 | Pobeda 1-1 Sileks | First League |
| Aug 14, 2016 | Sileks 2-1 Pobeda | First League |
How many goals should we expect?
Pobeda score 1.1 and concede 1.9 goals per match over their last 15; Sileks score 0.8 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pobeda | 1.1 | 1.9 | 3 | 7/15 | 9/15 |
| Sileks | 0.8 | 1.1 | 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