Pelister vs Pobeda: result 1-0 and analysis
First LeagueRegular Season - 28Kick-off on April 23, 2017 at 02:00 PM (UTC)Stadion Petar Miloševski, Bitola
Full time
What was the result of Pelister vs Pobeda?
Pelister won 1-0 on April 23, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pelister have 6 wins, 3 draws and 6 defeats; Pobeda have 2, 7 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 15, 2017 | Shkendija(home) | 0-1 | First League |
| Apr 9, 2017 | Vardar Skopje(away) | 1-3 | First League |
| Apr 5, 2017 | Sileks(home) | 0-0 | First League |
| Apr 2, 2017 | Shkupi 1927(away) | 0-1 | First League |
| Mar 18, 2017 | Renova(away) | 1-2 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 15, 2017 | Renova(away) | 0-1 | First League |
| Apr 9, 2017 | FK Rabotnicki(home) | 0-0 | First League |
| Apr 5, 2017 | Makedonija GjP(away) | 0-0 | First League |
| Apr 2, 2017 | Bregalnica Štip(home) | 0-0 | First League |
| Mar 18, 2017 | Shkupi 1927(home) | 1-1 | First League |
What does the head-to-head say?
Across the last 3 meetings: 2 Pelister win(s), 1 draw(s), 0 Pobeda win(s).
| Date | Score | Competition |
|---|---|---|
| Feb 19, 2017 | Pobeda 2-2 Pelister | First League |
| Oct 16, 2016 | Pelister 2-0 Pobeda | First League |
| Aug 7, 2016 | Pobeda 0-2 Pelister | First League |
How many goals should we expect?
Pelister score 1.1 and concede 0.9 goals per match over their last 15; Pobeda score 0.7 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pelister | 1.1 | 0.9 | 6 | 5/15 | 6/15 |
| Pobeda | 0.7 | 1.4 | 4 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 8 | Pelister | 33 | 10 | 10 | 13 | 41 | 42 | 40 |
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