Sasa vs Belasica: result 0-3 and analysis
Second LeagueEast - 20Kick-off on April 14, 2018 at 02:00 PM (UTC)Gradski stadion, Makedonska Kamenica
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What was the result of Sasa vs Belasica?
Belasica won 0-3 on April 14, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sasa have 5 wins, 3 draws and 7 defeats; Belasica have 10, 4 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 7, 2018 | Bregalnica Štip(away) | 0-2 | Second League |
| Mar 31, 2018 | Pobeda Valandovo(home) | 7-1 | Second League |
| Mar 18, 2018 | Tikveš(away) | 0-1 | Second League |
| Mar 6, 2018 | Kozuv Gevgelija(away) | 1-1 | Second League |
| Nov 25, 2017 | Osogovo(home) | 2-0 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 7, 2018 | Plačkovica(home) | 3-0 | Second League |
| Mar 31, 2018 | Kozuv Gevgelija(home) | 3-0 | Second League |
| Mar 17, 2018 | Bregalnica Štip(away) | 0-0 | Second League |
| Mar 10, 2018 | Borec(home) | 2-0 | Second League |
| Mar 6, 2018 | Pobeda Valandovo(away) | 8-1 | Second League |
What does the head-to-head say?
Across the last 2 meetings: 0 Sasa wins, 0 draws, 2 Belasica wins.
| Date | Score | Competition |
|---|---|---|
| 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 1.5 and concede 1.8 goals per match over their last 15; Belasica score 2.9 and concede 0.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sasa | 1.5 | 1.8 | 3 | 6/15 | 8/15 |
| Belasica | 2.9 | 0.3 | 11 | 4/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Belasica | 6 | 2 | 4 | 0 | 7 | 5 | 10 |
A question about Sasa vs Belasica?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy