Borec vs Sasa: result 6-0 and analysis
Second LeagueEast - 23Kick-off on April 27, 2019 at 02:00 PM (UTC)Stadion Zoran Paunov, Veles
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What was the result of Borec vs Sasa?
Borec won 6-0 on April 27, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Borec have 11 wins, 2 draws and 2 defeats; Sasa have 1, 4 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 20, 2019 | Vardar Negotino(away) | 4-0 | Second League |
| Apr 13, 2019 | Partizan Obrshani(home) | 3-0 | Second League |
| Apr 6, 2019 | Plačkovica(away) | 0-0 | Second League |
| Apr 2, 2019 | Detonit Junior(home) | 7-1 | Second League |
| Mar 30, 2019 | Tikveš(away) | 0-3 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 20, 2019 | Tikveš(home) | 1-1 | Second League |
| Apr 13, 2019 | Kozuv Gevgelija(away) | 1-2 | Second League |
| Apr 6, 2019 | Bregalnica Štip(home) | 0-1 | Second League |
| Apr 2, 2019 | Pehchevo(away) | 0-4 | Second League |
| Mar 30, 2019 | Bregalnica Štip(away) | 1-2 | Second League |
What does the head-to-head say?
Across the last 5 meetings: 5 Borec win(s), 0 draw(s), 0 Sasa win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 3, 2018 | Sasa 1-2 Borec | Second League |
| Aug 25, 2018 | Borec 3-0 Sasa | Second League |
| May 19, 2018 | Sasa 1-3 Borec | Second League |
| Nov 4, 2017 | Borec 3-0 Sasa | Second League |
| Sep 9, 2017 | Sasa 0-1 Borec | Second League |
How many goals should we expect?
Borec score 2.4 and concede 0.7 goals per match over their last 15; Sasa score 0.6 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Borec | 2.4 | 0.7 | 8 | 6/15 | 11/15 |
| Sasa | 0.6 | 2.1 | 3 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 11 | Sasa | 30 | 9 | 9 | 12 | 47 | 53 | 36 |
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