Sasa vs Belasica: result 0-3 and analysis
Second LeagueEast - 12Kick-off on November 10, 2019 at 12:00 PM (UTC)Gradska Plaža Stadium, Struga
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What was the result of Sasa vs Belasica?
Belasica won 0-3 on November 10, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sasa have 8 wins, 1 draws and 6 defeats; Belasica have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2019 | Pitu Guli(away) | 2-0 | Second League |
| Oct 26, 2019 | Pobeda(home) | 2-0 | Second League |
| Oct 20, 2019 | Osogovo(away) | 5-2 | Second League |
| Oct 12, 2019 | Pehchevo(home) | 0-3 | Second League |
| Oct 6, 2019 | Plačkovica(away) | 2-0 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2019 | Pobeda(home) | 1-0 | Second League |
| Oct 26, 2019 | Pehchevo(away) | 0-2 | Second League |
| Oct 20, 2019 | Tikveš(away) | 2-1 | Second League |
| Oct 13, 2019 | Bregalnica Štip(home) | 0-0 | Second League |
| Oct 6, 2019 | Pitu Guli(away) | 8-0 | Second League |
What does the head-to-head say?
Across the last 4 meetings: 0 Sasa win(s), 0 draw(s), 4 Belasica win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 7, 2019 | Belasica 2-1 Sasa | Second League |
| 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?
Sasa score 1.8 and concede 1.1 goals per match over their last 15; Belasica score 2.0 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sasa | 1.8 | 1.1 | 5 | 7/15 | 9/15 |
| Belasica | 2.0 | 0.9 | 7 | 6/15 | 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