Pobeda vs Belasica: result 0-3 and analysis
Second LeagueEast - 2Kick-off on September 1, 2019 at 02:30 PM (UTC)Stadion Goce Delčev, Prilep
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What was the result of Pobeda vs Belasica?
Belasica won 0-3 on September 1, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pobeda have 2 wins, 2 draws and 11 defeats; Belasica have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 24, 2019 | Sasa(home) | 2-1 | Second League |
| May 26, 2019 | Makedonija GjP(home) | 1-3 | First League |
| May 19, 2019 | Vardar Skopje(away) | 0-6 | First League |
| May 12, 2019 | Shkendija(home) | 1-4 | First League |
| May 8, 2019 | Akademija Pandev(away) | 0-4 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 24, 2019 | Pehchevo(home) | 3-0 | Second League |
| May 26, 2019 | Sileks(away) | 1-2 | First League |
| May 19, 2019 | FK Rabotnicki(home) | 0-1 | First League |
| May 12, 2019 | Shkupi 1927(away) | 2-2 | First League |
| May 8, 2019 | Renova(home) | 3-2 | First League |
What does the head-to-head say?
Across the last 4 meetings: 1 Pobeda win(s), 2 draw(s), 1 Belasica win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 14, 2019 | Belasica 1-1 Pobeda | First League |
| Feb 17, 2019 | Pobeda 1-1 Belasica | First League |
| Oct 21, 2018 | Belasica 2-1 Pobeda | First League |
| Aug 12, 2018 | Pobeda 1-0 Belasica | First League |
How many goals should we expect?
Pobeda score 0.9 and concede 3.1 goals per match over their last 15; Belasica score 1.6 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pobeda | 0.9 | 3.1 | 1 | 9/15 | 12/15 |
| Belasica | 1.6 | 1.2 | 3 | 10/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Belasica | 2 | 2 | 0 | 0 | 2 | 0 | 6 |
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