Sasa vs Borec: result 1-2 and analysis
Second LeagueEast - 11Kick-off on November 3, 2018 at 12:30 PM (UTC)Gradski stadion, Makedonska Kamenica
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What was the result of Sasa vs Borec?
Borec won 1-2 on November 3, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sasa have 3 wins, 3 draws and 9 defeats; Borec have 12, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2018 | Partizan Obrshani(away) | 0-0 | Second League |
| Oct 13, 2018 | Bregalnica Štip(home) | 1-5 | Second League |
| Oct 7, 2018 | Detonit Junior(away) | 2-2 | Second League |
| Sep 29, 2018 | Tikveš(home) | 1-3 | Second League |
| Sep 25, 2018 | Pehchevo(away) | 1-3 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2018 | Detonit Junior(home) | 4-0 | Second League |
| Oct 7, 2018 | Pehchevo(away) | 1-1 | Second League |
| Sep 29, 2018 | Vardar Negotino(home) | 1-0 | Second League |
| Sep 25, 2018 | Plačkovica(away) | 4-1 | Second League |
| Sep 22, 2018 | Kozuv Gevgelija(home) | 2-1 | Second League |
What does the head-to-head say?
Across the last 4 meetings: 0 Sasa win(s), 0 draw(s), 4 Borec win(s).
| Date | Score | Competition |
|---|---|---|
| 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?
Sasa score 1.1 and concede 1.9 goals per match over their last 15; Borec score 2.1 and concede 0.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sasa | 1.1 | 1.9 | 4 | 9/15 | 10/15 |
| Borec | 2.1 | 0.3 | 10 | 4/15 | 7/15 |
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