Akademija Pandev vs Sileks: result 0-1 and analysis
First LeagueRegular Season - 18Kick-off on December 3, 2017 at 12:00 PM (UTC)Stadion Blagoj Istatov, Strumica
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What was the result of Akademija Pandev vs Sileks?
Sileks won 0-1 on December 3, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Akademija Pandev have 7 wins, 3 draws and 5 defeats; Sileks 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 |
|---|---|---|---|
| Nov 26, 2017 | Vardar Skopje(home) | 0-2 | First League |
| Nov 19, 2017 | FK Rabotnicki(home) | 1-1 | First League |
| Nov 16, 2017 | Pelister(away) | 4-3 | First League |
| Nov 5, 2017 | Pobeda(home) | 0-1 | First League |
| Oct 28, 2017 | Renova(away) | 1-3 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 26, 2017 | FK Rabotnicki(home) | 2-1 | First League |
| Nov 19, 2017 | Pobeda(away) | 2-0 | First League |
| Nov 16, 2017 | Shkendija(home) | 0-2 | First League |
| Nov 5, 2017 | Shkupi 1927(away) | 1-0 | First League |
| Oct 29, 2017 | Vardar Skopje(home) | 0-0 | First League |
What does the head-to-head say?
Across the last 1 meetings: 0 Akademija Pandev win(s), 0 draw(s), 1 Sileks win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 30, 2017 | Sileks 1-0 Akademija Pandev | First League |
Last archived meeting: Sileks vs Akademija Pandev on Sep 30, 2017
How many goals should we expect?
Akademija Pandev score 1.5 and concede 1.3 goals per match over their last 15; Sileks score 0.8 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Akademija Pandev | 1.5 | 1.3 | 4 | 8/15 | 6/15 |
| Sileks | 0.8 | 1.2 | 7 | 5/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Sileks | 3 | 2 | 1 | 0 | 10 | 1 | 7 |
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