Akademija Pandev vs Pobeda: result 0-1 and analysis
First LeagueRegular Season - 14Kick-off on November 5, 2017 at 12:30 PM (UTC)Stadion Blagoj Istatov, Strumica
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What was the result of Akademija Pandev vs Pobeda?
Pobeda won 0-1 on November 5, 2017.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Akademija Pandev have 6 wins, 3 draws and 3 defeats; Pobeda have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2017 | Renova(away) | 1-3 | First League |
| Oct 25, 2017 | Shkendija(home) | 3-2 | First League |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2017 | Shkendija(home) | 0-2 | First League |
| Oct 25, 2017 | Shkupi 1927(away) | 0-1 | First League |
| Oct 22, 2017 | Vardar Skopje(home) | 1-0 | First League |
| Oct 14, 2017 | Pelister(away) | 1-2 | First League |
| Sep 30, 2017 | Renova(away) | 0-0 | First League |
What does the head-to-head say?
Across the last 1 meetings: 0 Akademija Pandev win(s), 1 draw(s), 0 Pobeda win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 17, 2017 | Pobeda 2-2 Akademija Pandev | First League |
Last archived meeting: Pobeda vs Akademija Pandev on Sep 17, 2017
How many goals should we expect?
Akademija Pandev score 1.5 and concede 1.1 goals per match over their last 12; Pobeda score 1.3 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Akademija Pandev | 1.5 | 1.1 | 4 | 7/12 | 5/12 |
| Pobeda | 1.3 | 1.8 | 3 | 7/15 | 10/15 |
Over the last 12 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