Sasa vs Borec: result 1-3 and analysis
Second LeagueEast - 27Kick-off on May 19, 2018 at 02:30 PM (UTC)Gradski stadion, Makedonska Kamenica
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What was the result of Sasa vs Borec?
Borec won 1-3 on May 19, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sasa have 5 wins, 2 draws and 8 defeats; Borec have 11, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2018 | Kozuv Gevgelija(away) | 1-2 | Second League |
| May 5, 2018 | Tikveš(home) | 1-0 | Second League |
| Apr 24, 2018 | Pobeda Valandovo(home) | 3-0 | Second League |
| Apr 21, 2018 | Osogovo(away) | 0-1 | Second League |
| Apr 17, 2018 | Plačkovica(away) | 2-2 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2018 | Belasica(home) | 3-0 | Second League |
| May 6, 2018 | Bregalnica Štip(away) | 0-1 | Second League |
| Apr 28, 2018 | Plačkovica(home) | 3-0 | Second League |
| Apr 24, 2018 | Kozuv Gevgelija(home) | 2-0 | Second League |
| Apr 21, 2018 | Tikveš(away) | 3-1 | Second League |
What does the head-to-head say?
Across the last 2 meetings: 0 Sasa wins, 0 draws, 2 Borec wins.
| Date | Score | Competition |
|---|---|---|
| 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 1.4 and concede 1.6 goals per match over their last 15; Borec score 2.1 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sasa | 1.4 | 1.6 | 3 | 5/15 | 8/15 |
| Borec | 2.1 | 0.7 | 7 | 5/15 | 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 |
A question about Sasa vs Borec?
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