Belasica vs Sasa: result 2-1 and analysis
Second LeagueEast - 3Kick-off on September 7, 2019 at 02:00 PM (UTC)Stadion Blagoj Istatov, Strumica
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What was the result of Belasica vs Sasa?
Belasica won 2-1 on September 7, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Belasica have 7 wins, 4 draws and 4 defeats; Sasa have 5, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2019 | Pobeda(away) | 3-0 | Second League |
| Aug 24, 2019 | Pehchevo(home) | 3-0 | Second League |
| May 26, 2019 | Sileks(away) | 1-2 | First League |
| May 19, 2019 | FK Rabotnicki(home) | 0-1 | First League |
| May 12, 2019 | Shkupi 1927(away) | 2-2 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2019 | Pitu Guli(home) | 4-1 | Second League |
| Aug 24, 2019 | Pobeda(away) | 1-2 | Second League |
| May 24, 2019 | Detonit Junior(away) | 1-2 | Second League |
| May 18, 2019 | Vardar Negotino(home) | 3-0 | Second League |
| May 11, 2019 | Partizan Obrshani(away) | 2-0 | Second League |
What does the head-to-head say?
Across the last 3 meetings: 3 Belasica win(s), 0 draw(s), 0 Sasa win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 14, 2018 | Sasa 0-3 Belasica | Second League |
| Nov 11, 2017 | Sasa 0-5 Belasica | Second League |
| Sep 16, 2017 | Belasica 1-0 Sasa | Second League |
How many goals should we expect?
Belasica score 1.7 and concede 1.1 goals per match over their last 15; Sasa score 1.1 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Belasica | 1.7 | 1.1 | 4 | 9/15 | 8/15 |
| Sasa | 1.1 | 1.8 | 3 | 7/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Belasica | 2 | 2 | 0 | 0 | 2 | 0 | 6 |
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