Sileks vs Pobeda: result 1-0 and analysis
First LeagueRegular Season - 22Kick-off on March 10, 2019 at 01:00 PM (UTC)Gradski stadion Kratovo, Kratovo
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What was the result of Sileks vs Pobeda?
Sileks won 1-0 on March 10, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sileks have 3 wins, 7 draws and 5 defeats; Pobeda have 3, 1 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 3, 2019 | Renova(home) | 0-0 | First League |
| Feb 24, 2019 | FK Rabotnicki(away) | 1-1 | First League |
| Feb 17, 2019 | Shkupi 1927(home) | 2-2 | First League |
| Dec 2, 2018 | Belasica(home) | 1-0 | First League |
| Nov 28, 2018 | Makedonija GjP(away) | 1-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 3, 2019 | FK Rabotnicki(home) | 0-1 | First League |
| Feb 24, 2019 | Shkupi 1927(away) | 0-3 | First League |
| Feb 17, 2019 | Belasica(home) | 1-1 | First League |
| Dec 2, 2018 | Makedonija GjP(home) | 0-2 | First League |
| Nov 28, 2018 | Vardar Skopje(away) | 0-3 | First League |
What does the head-to-head say?
Across the last 6 meetings: 3 Sileks win(s), 1 draw(s), 2 Pobeda win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 4, 2018 | Pobeda 2-0 Sileks | First League |
| Sep 1, 2018 | Sileks 0-0 Pobeda | First League |
| May 13, 2018 | Pobeda 1-0 Sileks | First League |
| Apr 1, 2018 | Sileks 1-0 Pobeda | First League |
| Nov 19, 2017 | Pobeda 0-2 Sileks | First League |
| Sep 24, 2017 | Sileks 1-0 Pobeda | First League |
How many goals should we expect?
Sileks score 0.7 and concede 1.2 goals per match over their last 15; Pobeda score 0.7 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sileks | 0.7 | 1.2 | 4 | 6/15 | 2/15 |
| Pobeda | 0.7 | 1.5 | 3 | 5/15 | 6/15 |
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