Akademija Pandev vs Shkendija: result 3-2 and analysis
First LeagueRegular Season - 12Kick-off on October 25, 2017 at 12:30 PM (UTC)Stadion Blagoj Istatov, Strumica
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What was the result of Akademija Pandev vs Shkendija?
Akademija Pandev won 3-2 on October 25, 2017.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Akademija Pandev have 5 wins, 3 draws and 2 defeats; Shkendija have 10, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2017 | Skopje(away) | 1-1 | First League |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2017 | Shkupi 1927(home) | 4-1 | First League |
| Oct 14, 2017 | Vardar Skopje(away) | 2-4 | First League |
| Sep 30, 2017 | Pelister(away) | 3-1 | First League |
| Sep 27, 2017 | Renova(home) | 2-0 | First League |
| Sep 24, 2017 | Skopje(away) | 2-1 | First League |
What does the head-to-head say?
Across the last 1 meetings: 0 Akademija Pandev win(s), 0 draw(s), 1 Shkendija win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 27, 2017 | Shkendija 2-1 Akademija Pandev | First League |
Last archived meeting: Shkendija vs Akademija Pandev on Aug 27, 2017
How many goals should we expect?
Akademija Pandev score 1.4 and concede 0.8 goals per match over their last 10; Shkendija score 2.5 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Akademija Pandev | 1.4 | 0.8 | 4 | 5/10 | 3/10 |
| Shkendija | 2.5 | 1.5 | 5 | 8/15 | 12/15 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Shkendija | 3 | 3 | 0 | 0 | 9 | 1 | 9 |
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