Sasa vs Borec: result 4-1 and analysis
Second LeagueRegular Season - 27Kick-off on April 29, 2023 at 02:00 PM (UTC)Gradski stadion, Makedonska Kamenica
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What was the result of Sasa vs Borec?
Sasa won 4-1 on April 29, 2023.
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 0, 2 and 13.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 26, 2023 | Detonit Plachkovica(away) | 1-5 | Second League |
| Apr 23, 2023 | Ohrid(home) | 2-1 | Second League |
| Apr 15, 2023 | Aresimi(away) | 1-2 | Second League |
| Apr 8, 2023 | Kozuv Gevgelija(home) | 1-1 | Second League |
| Apr 1, 2023 | Vardar Skopje(away) | 0-3 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 26, 2023 | Pehchevo(home) | 0-3 | Second League |
| Apr 23, 2023 | Karaorman(away) | 0-4 | Second League |
| Apr 15, 2023 | Pelister(away) | 0-4 | Second League |
| Apr 8, 2023 | Detonit Plachkovica(home) | 1-2 | Second League |
| Apr 1, 2023 | Ohrid(away) | 0-2 | Second League |
What does the head-to-head say?
Across the last 6 meetings: 1 Sasa win(s), 2 draw(s), 3 Borec win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 13, 2022 | Borec 0-3 Sasa | Second League |
| Jul 23, 2022 | Borec 0-0 Sasa | Friendlies Clubs |
| Sep 23, 2020 | Sasa 0-0 Borec | Cup |
| 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 |
How many goals should we expect?
Sasa score 0.9 and concede 1.9 goals per match over their last 15; Borec score 0.5 and concede 3.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sasa | 0.9 | 1.9 | 3 | 7/15 | 10/15 |
| Borec | 0.5 | 3.1 | 0 | 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 |
|---|---|---|---|---|---|---|---|---|
| 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