Skopje vs Akademija Pandev: result 1-1 and analysis
First LeagueRegular Season - 11Kick-off on October 22, 2017 at 12:30 PM (UTC)Stadion Železarnica, Skopje
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What was the result of Skopje vs Akademija Pandev?
Skopje and Akademija Pandev drew 1-1 on October 22, 2017.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Skopje have 0 wins, 5 draws and 5 defeats; Akademija Pandev have 5, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 14, 2017 | Sileks(home) | 1-1 | First League |
| Sep 30, 2017 | FK Rabotnicki(home) | 0-0 | First League |
| Sep 27, 2017 | Pobeda(away) | 2-4 | First League |
| Sep 24, 2017 | Shkendija(home) | 1-2 | First League |
| Sep 20, 2017 | Shkupi 1927(away) | 0-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 14, 2017 | Shkupi 1927(home) | 2-0 | First League |
| Sep 30, 2017 | Sileks(away) | 0-1 | First League |
| Sep 24, 2017 | FK Rabotnicki(away) | 2-1 | First League |
| Sep 20, 2017 | Pelister(home) | 2-0 | First League |
| Sep 17, 2017 | Pobeda(away) | 2-2 | First League |
What does the head-to-head say?
Across the last 1 meetings: 0 Skopje win(s), 0 draw(s), 1 Akademija Pandev win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 20, 2017 | Akademija Pandev 2-0 Skopje | First League |
Last archived meeting: Akademija Pandev vs Skopje on Aug 20, 2017
How many goals should we expect?
Skopje score 0.5 and concede 1.2 goals per match over their last 10; Akademija Pandev score 1.4 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skopje | 0.5 | 1.2 | 3 | 4/10 | 2/10 |
| Akademija Pandev | 1.4 | 0.8 | 4 | 4/9 | 3/9 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Skopje | 4 | 0 | 2 | 2 | 2 | 8 | 2 |
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