Sileks vs FK Rabotnicki: result 2-1 and analysis
First LeagueRegular Season - 14Kick-off on November 16, 2016 at 12:00 PM (UTC)Gradski stadion Kratovo, Kratovo
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What was the result of Sileks vs FK Rabotnicki?
Sileks won 2-1 on November 16, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sileks have 3 wins, 6 draws and 6 defeats; FK Rabotnicki have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2016 | Makedonija GjP(away) | 1-1 | First League |
| Oct 30, 2016 | Bregalnica Štip(home) | 1-0 | First League |
| Oct 23, 2016 | Pobeda(away) | 1-1 | First League |
| Oct 16, 2016 | Shkendija(home) | 1-3 | First League |
| Oct 2, 2016 | Vardar Skopje(home) | 1-3 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2016 | Pelister(home) | 0-1 | First League |
| Oct 30, 2016 | Renova(away) | 1-1 | First League |
| Oct 23, 2016 | Shkupi 1927(home) | 3-1 | First League |
| Oct 15, 2016 | Makedonija GjP(home) | 2-1 | First League |
| Oct 1, 2016 | Bregalnica Štip(home) | 1-1 | First League |
What does the head-to-head say?
Across the last 1 meetings: 0 Sileks win(s), 0 draw(s), 1 FK Rabotnicki win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 10, 2016 | FK Rabotnicki 3-1 Sileks | First League |
Last archived meeting: FK Rabotnicki vs Sileks on Sep 10, 2016
How many goals should we expect?
Sileks score 1.0 and concede 1.4 goals per match over their last 15; FK Rabotnicki score 1.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sileks | 1.0 | 1.4 | 4 | 11/15 | 7/15 |
| FK Rabotnicki | 1.3 | 1.1 | 3 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Sileks | 4 | 2 | 1 | 1 | 11 | 5 | 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