Sasa vs Pobeda: result 2-0 and analysis
Second LeagueEast - 10Kick-off on October 26, 2019 at 12:30 PM (UTC)Gradska Plaža Stadium, Struga
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What was the result of Sasa vs Pobeda?
Sasa won 2-0 on October 26, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sasa have 6 wins, 2 draws and 7 defeats; Pobeda have 2, 1 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2019 | Osogovo(away) | 5-2 | Second League |
| Oct 12, 2019 | Pehchevo(home) | 0-3 | Second League |
| Oct 6, 2019 | Plačkovica(away) | 2-0 | Second League |
| Sep 28, 2019 | Tikveš(home) | 0-1 | Second League |
| Sep 21, 2019 | Kozuv Gevgelija(away) | 0-1 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2019 | Pehchevo(away) | 1-2 | Second League |
| Oct 11, 2019 | Tikveš(home) | 2-2 | Second League |
| Oct 6, 2019 | Bregalnica Štip(away) | 0-3 | Second League |
| Sep 28, 2019 | Pitu Guli(home) | 2-1 | Second League |
| Sep 21, 2019 | Osogovo(away) | 0-1 | Second League |
What does the head-to-head say?
Across the last 1 meetings: 0 Sasa win(s), 0 draw(s), 1 Pobeda win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 24, 2019 | Pobeda 2-1 Sasa | Second League |
How many goals should we expect?
Sasa score 1.6 and concede 1.6 goals per match over their last 15; Pobeda score 0.9 and concede 3.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sasa | 1.6 | 1.6 | 3 | 8/15 | 10/15 |
| Pobeda | 0.9 | 3.3 | 0 | 10/15 | 14/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Sasa sit 11th in Second League (36 points from 30 matches) and Pobeda sit 15th (11 points from 30 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Sasa | 30 | 9 | 9 | 12 | 47 | 53 | 36 |
| 15 | Pobeda | 30 | 3 | 2 | 25 | 19 | 117 | 11 |
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