Sasa vs Borec: result 0-0 and analysis
Cup1st RoundKick-off on September 23, 2020 at 01:30 PM (UTC)Gradski stadion, Makedonska Kamenica
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What was the result of Sasa vs Borec?
Sasa and Borec drew 0-0 on September 23, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sasa have 7 wins, 1 draw and 7 defeats; Borec have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 19, 2020 | Rosoman(away) | 2-3 | Second League |
| Sep 12, 2020 | Pobeda(home) | 1-0 | Second League |
| Aug 30, 2020 | Sloga Vinica(away) | 1-2 | Second League |
| Aug 22, 2020 | Bregalnica Štip(home) | 0-1 | Second League |
| Mar 7, 2020 | Plačkovica(home) | 3-0 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 20, 2020 | Sileks(away) | 2-1 | First League |
| Sep 13, 2020 | Akademija Pandev(home) | 2-0 | First League |
| Aug 31, 2020 | Shkendija(away) | 1-1 | First League |
| Aug 23, 2020 | Struga(away) | 0-1 | First League |
| Aug 16, 2020 | Renova(home) | 1-1 | First League |
What does the head-to-head say?
Across the last 6 meetings: 0 Sasa wins, 0 draws, 6 Borec wins.
| Date | Score | Competition |
|---|---|---|
| Apr 27, 2019 | Borec 6-0 Sasa | Second League |
| 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?
Sasa score 1.5 and concede 1.4 goals per match over their last 15; Borec score 1.1 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sasa | 1.5 | 1.4 | 5 | 5/15 | 8/15 |
| Borec | 1.1 | 1.0 | 4 | 6/15 | 3/15 |
Over the last 15 matches in all competitions.
A question about Sasa vs Borec?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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