Sileks vs Pobeda: result 1-0 and analysis
First LeagueRegular Season - 7Kick-off on September 24, 2017 at 01:30 PM (UTC)Gradski stadion Kratovo, Kratovo
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What was the result of Sileks vs Pobeda?
Sileks won 1-0 on September 24, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sileks have 5 wins, 3 draws and 7 defeats; Pobeda have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 20, 2017 | Shkendija(away) | 0-5 | First League |
| Sep 17, 2017 | Shkupi 1927(home) | 0-1 | First League |
| Sep 9, 2017 | Vardar Skopje(away) | 1-3 | First League |
| Aug 26, 2017 | Pelister(home) | 1-4 | First League |
| Aug 19, 2017 | Renova(away) | 3-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 20, 2017 | FK Rabotnicki(home) | 2-4 | First League |
| Sep 17, 2017 | Akademija Pandev(home) | 2-2 | First League |
| Sep 10, 2017 | Shkendija(away) | 3-3 | First League |
| Aug 26, 2017 | Shkupi 1927(home) | 2-1 | First League |
| Aug 20, 2017 | Vardar Skopje(away) | 0-4 | First League |
What does the head-to-head say?
Across the last 4 meetings: 2 Sileks win(s), 1 draw(s), 1 Pobeda win(s).
| Date | Score | Competition |
|---|---|---|
| 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?
Sileks score 1.0 and concede 1.5 goals per match over their last 15; Pobeda score 1.5 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sileks | 1.0 | 1.5 | 5 | 5/15 | 6/15 |
| Pobeda | 1.5 | 1.9 | 3 | 8/15 | 12/15 |
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