Sasa vs Plačkovica: result 4-1 and analysis
Second LeagueEast - 10Kick-off on October 28, 2017 at 11:30 AM (UTC)Gradski stadion, Makedonska Kamenica
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What was the result of Sasa vs Plačkovica?
Sasa won 4-1 on October 28, 2017.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Sasa have 2 wins, 2 draws and 5 defeats; Plačkovica have 5, 0 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2017 | Pobeda Valandovo(away) | 1-1 | Second League |
| Oct 14, 2017 | Tikveš(home) | 2-0 | Second League |
| Oct 7, 2017 | Turnovo(away) | 3-0 | Second League |
| Oct 1, 2017 | Kozuv Gevgelija(home) | 1-3 | Second League |
| Sep 26, 2017 | Osogovo(away) | 2-2 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2017 | Tikveš(away) | 0-1 | Second League |
| Oct 14, 2017 | Kozuv Gevgelija(home) | 3-1 | Second League |
| Oct 7, 2017 | Bregalnica Štip(away) | 1-4 | Second League |
| Sep 30, 2017 | Borec(home) | 1-0 | Second League |
| Sep 26, 2017 | Pobeda Valandovo(away) | 2-0 | Second League |
What does the head-to-head say?
In the last meeting: 0 Sasa wins, 0 draws, 1 Plačkovica win.
| Date | Score | Competition |
|---|---|---|
| Aug 27, 2017 | Plačkovica 2-1 Sasa | Second League |
How many goals should we expect?
Sasa score 1.1 and concede 1.7 goals per match over their last 9; Plačkovica score 1.6 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sasa | 1.1 | 1.7 | 2 | 4/9 | 5/9 |
| Plačkovica | 1.6 | 1.4 | 2 | 6/9 | 6/9 |
Over the last 9 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 Plačkovica?
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