Akademija Pandev vs Makedonija GjP: result 2-1 and analysis
First LeagueRegular Season - 1Kick-off on August 12, 2018 at 03:00 PM (UTC)Stadion Blagoj Istatov, Strumica
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What was the result of Akademija Pandev vs Makedonija GjP?
Akademija Pandev won 2-1 on August 12, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Akademija Pandev have 3 wins, 7 draws and 5 defeats; Makedonija GjP have 13, 0 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 20, 2018 | Sileks(home) | 1-2 | First League |
| May 16, 2018 | Vardar Skopje(away) | 2-3 | First League |
| May 13, 2018 | FK Rabotnicki(home) | 0-1 | First League |
| May 6, 2018 | Pelister(away) | 3-1 | First League |
| May 2, 2018 | Pobeda(home) | 1-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2018 | KF Gostivari(away) | 0-3 | Second League |
| May 12, 2018 | Gorno Lisiče(home) | 4-0 | Second League |
| May 5, 2018 | Velazerimi 77(home) | 2-0 | Second League |
| Apr 29, 2018 | Struga(away) | 2-1 | Second League |
| Apr 25, 2018 | Labunishta(home) | 3-2 | Second League |
How many goals should we expect?
Akademija Pandev score 1.1 and concede 1.1 goals per match over their last 15; Makedonija GjP score 2.2 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Akademija Pandev | 1.1 | 1.1 | 4 | 10/15 | 6/15 |
| Makedonija GjP | 2.2 | 0.7 | 8 | 5/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Akademija Pandev sit 9th in First League (40 points from 33 matches) and Makedonija GjP sit 10th (34 points from 33 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Akademija Pandev | 33 | 10 | 10 | 13 | 46 | 56 | 40 |
| 10 | Makedonija GjP | 33 | 9 | 7 | 17 | 42 | 57 | 34 |
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