Belasica vs Makedonija GjP: result 1-4 and analysis
First LeagueRegular Season - 14Kick-off on November 10, 2018 at 12:00 PM (UTC)Stadion Blagoj Istatov, Strumica
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What was the result of Belasica vs Makedonija GjP?
Makedonija GjP won 1-4 on November 10, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Belasica have 3 wins, 6 draws and 6 defeats; Makedonija GjP have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2018 | Vardar Skopje(away) | 1-1 | First League |
| Oct 31, 2018 | Shkendija(home) | 0-2 | First League |
| Oct 28, 2018 | Akademija Pandev(away) | 0-3 | First League |
| Oct 21, 2018 | Pobeda(home) | 2-1 | First League |
| Oct 6, 2018 | Sileks(home) | 1-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2018 | Renova(home) | 1-2 | First League |
| Oct 31, 2018 | Vardar Skopje(home) | 1-3 | First League |
| Oct 28, 2018 | Shkendija(away) | 1-5 | First League |
| Oct 21, 2018 | Akademija Pandev(home) | 1-0 | First League |
| Oct 6, 2018 | Pobeda(home) | 1-0 | First League |
What does the head-to-head say?
Across the last 1 meetings: 0 Belasica win(s), 1 draw(s), 0 Makedonija GjP win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 16, 2018 | Makedonija GjP 0-0 Belasica | First League |
Last archived meeting: Makedonija GjP vs Belasica on Sep 16, 2018
How many goals should we expect?
Belasica score 0.7 and concede 1.4 goals per match over their last 15; Makedonija GjP score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Belasica | 0.7 | 1.4 | 3 | 7/15 | 4/15 |
| Makedonija GjP | 1.1 | 1.3 | 6 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 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