Sasa vs Pobeda Valandovo: result 3-0 and analysis
Second LeagueEast - 23Kick-off on April 24, 2018 at 02:00 PM (UTC)Gradski stadion, Makedonska Kamenica
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What was the result of Sasa vs Pobeda Valandovo?
Sasa won 3-0 on April 24, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sasa have 5 wins, 3 draws and 7 defeats; Pobeda Valandovo have 2, 3 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2018 | Osogovo(away) | 0-1 | Second League |
| Apr 17, 2018 | Plačkovica(away) | 2-2 | Second League |
| Apr 14, 2018 | Belasica(home) | 0-3 | Second League |
| Apr 7, 2018 | Bregalnica Štip(away) | 0-2 | Second League |
| Mar 31, 2018 | Pobeda Valandovo(home) | 7-1 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2018 | Belasica(home) | 0-12 | Second League |
| Apr 17, 2018 | Bregalnica Štip(away) | 2-7 | Second League |
| Apr 14, 2018 | Borec(home) | 0-5 | Second League |
| Apr 7, 2018 | Kozuv Gevgelija(away) | 0-2 | Second League |
| Mar 31, 2018 | Sasa(away) | 1-7 | Second League |
What does the head-to-head say?
Across the last 2 meetings: 1 Sasa win(s), 1 draw(s), 0 Pobeda Valandovo win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 31, 2018 | Sasa 7-1 Pobeda Valandovo | Second League |
| Oct 21, 2017 | Pobeda Valandovo 1-1 Sasa | Second League |
Last archived meeting: Sasa vs Pobeda Valandovo on Mar 31, 2018
How many goals should we expect?
Sasa score 1.5 and concede 1.5 goals per match over their last 15; Pobeda Valandovo score 1.1 and concede 3.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sasa | 1.5 | 1.5 | 3 | 5/15 | 7/15 |
| Pobeda Valandovo | 1.1 | 3.9 | 2 | 8/15 | 11/15 |
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