Struga vs Belasica: result 3-1 and analysis
First LeagueRegular Season - 25Kick-off on April 4, 2021 at 01:00 PM (UTC)Gradska Plaža Stadium, Struga
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What was the result of Struga vs Belasica?
Struga won 3-1 on April 4, 2021.
Goalscorers
- 18′A. RistevskiStruga
- 27′K. CakeStruga
- 53′A. KalanoskiStruga (o.g.)
- 88′K. CakeBelasica (o.g.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Struga have 5 wins, 6 draws and 4 defeats; Belasica have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 20, 2021 | Akademija Pandev(away) | 0-1 | First League |
| Mar 14, 2021 | Renova(home) | 0-0 | First League |
| Mar 7, 2021 | Vardar Skopje(away) | 1-1 | First League |
| Mar 3, 2021 | Pelister(home) | 0-1 | First League |
| Feb 28, 2021 | Belasica(away) | 2-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 20, 2021 | FK Rabotnicki(home) | 1-1 | First League |
| Mar 14, 2021 | Borec(away) | 0-1 | First League |
| Mar 7, 2021 | Akademija Pandev(home) | 0-0 | First League |
| Mar 3, 2021 | Borec(away) | 1-2 | First League |
| Feb 28, 2021 | Struga(home) | 1-2 | First League |
What does the head-to-head say?
Across the last 2 meetings: 2 Struga win(s), 0 draw(s), 0 Belasica win(s).
| Date | Score | Competition |
|---|---|---|
| Feb 28, 2021 | Belasica 1-2 Struga | First League |
| Oct 18, 2020 | Struga 3-0 Belasica | First League |
How many goals should we expect?
Struga score 1.1 and concede 0.9 goals per match over their last 15; Belasica score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Struga | 1.1 | 0.9 | 3 | 9/15 | 6/15 |
| Belasica | 1.1 | 1.3 | 4 | 7/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Struga | 4 | 2 | 1 | 1 | 6 | 3 | 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