Akademija Pandev vs Belasica: result 3-0 and analysis
First LeagueRegular Season - 11Kick-off on October 28, 2018 at 12:30 PM (UTC)Stadion Blagoj Istatov, Strumica
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What was the result of Akademija Pandev vs Belasica?
Akademija Pandev won 3-0 on October 28, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Akademija Pandev have 7 wins, 1 draws and 7 defeats; Belasica have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2018 | Makedonija GjP(away) | 0-1 | First League |
| Oct 6, 2018 | Vardar Skopje(away) | 0-3 | First League |
| Sep 29, 2018 | Shkendija(home) | 0-0 | First League |
| Sep 26, 2018 | Renova(home) | 0-2 | First League |
| Sep 23, 2018 | Pobeda(away) | 4-2 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2018 | Pobeda(home) | 2-1 | First League |
| Oct 6, 2018 | Sileks(home) | 1-1 | First League |
| Sep 29, 2018 | FK Rabotnicki(away) | 1-1 | First League |
| Sep 26, 2018 | Shkupi 1927(home) | 1-0 | First League |
| Sep 23, 2018 | Renova(away) | 2-0 | First League |
What does the head-to-head say?
Across the last 1 meetings: 1 Akademija Pandev win(s), 0 draw(s), 0 Belasica win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 19, 2018 | Belasica 0-2 Akademija Pandev | First League |
Last archived meeting: Belasica vs Akademija Pandev on Aug 19, 2018
How many goals should we expect?
Akademija Pandev score 1.3 and concede 1.1 goals per match over their last 15; Belasica score 2.2 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Akademija Pandev | 1.3 | 1.1 | 5 | 5/15 | 7/15 |
| Belasica | 2.2 | 1.0 | 6 | 6/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 9 | Akademija Pandev | 33 | 10 | 10 | 13 | 46 | 56 | 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