FK Rabotnicki vs Pobeda: result 3-1 and analysis
First LeagueRegular Season - 17Kick-off on November 30, 2016 at 12:00 PM (UTC)Toše Proeski Arena, Skopje
Full time
What was the result of FK Rabotnicki vs Pobeda?
FK Rabotnicki won 3-1 on November 30, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, FK Rabotnicki have 6 wins, 3 draws and 6 defeats; Pobeda have 3, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 27, 2016 | Shkendija(away) | 2-2 | First League |
| Nov 20, 2016 | Vardar Skopje(home) | 3-0 | First League |
| Nov 16, 2016 | Sileks(away) | 1-2 | First League |
| Nov 5, 2016 | Pelister(home) | 0-1 | First League |
| Oct 30, 2016 | Renova(away) | 1-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 27, 2016 | Makedonija GjP(home) | 0-0 | First League |
| Nov 20, 2016 | Bregalnica Štip(away) | 3-2 | First League |
| Nov 16, 2016 | Shkupi 1927(away) | 1-1 | First League |
| Nov 5, 2016 | Shkendija(home) | 1-2 | First League |
| Oct 30, 2016 | Vardar Skopje(away) | 1-2 | First League |
What does the head-to-head say?
Across the last 1 meetings: 0 FK Rabotnicki win(s), 0 draw(s), 1 Pobeda win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 28, 2016 | Pobeda 2-1 FK Rabotnicki | First League |
Last archived meeting: Pobeda vs FK Rabotnicki on Sep 28, 2016
How many goals should we expect?
FK Rabotnicki score 1.3 and concede 1.3 goals per match over their last 15; Pobeda score 1.0 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FK Rabotnicki | 1.3 | 1.3 | 3 | 9/15 | 9/15 |
| Pobeda | 1.0 | 1.3 | 2 | 11/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 11 | FK Rabotnicki | 33 | 9 | 6 | 18 | 45 | 58 | 33 |
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