Septemvri Simitli vs Nadezhda Dobroslavtsi: result 3-1 and analysis
Third League - SouthwestRegular Season - 6Kick-off on September 8, 2018 at 02:00 PM (UTC)Stadion Struma, Simitli
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What was the result of Septemvri Simitli vs Nadezhda Dobroslavtsi?
Septemvri Simitli won 3-1 on September 8, 2018.
What is the recent form of both teams?
Over their last 5 matches in all competitions, Septemvri Simitli have 2 wins, 0 draws and 3 defeats; Nadezhda Dobroslavtsi have 1, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2018 | Chavdar Etropole(away) | 1-0 | Third League - Southwest |
| Aug 25, 2018 | Botev Ihtiman(home) | 1-0 | Third League - Southwest |
| Aug 22, 2018 | Bansko(away) | 0-2 | Third League - Southwest |
| Aug 18, 2018 | Hebar 1918(home) | 0-2 | Third League - Southwest |
| Aug 11, 2018 | Balkan Botevgrad(home) | 0-2 | Third League - Southwest |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2018 | Slivnishki geroy(home) | 0-3 | Third League - Southwest |
| Aug 25, 2018 | Germaneya(away) | 0-3 | Third League - Southwest |
| Aug 22, 2018 | FK Minyor Pernik(home) | 1-1 | Third League - Southwest |
| Aug 18, 2018 | Sportist Svoge(away) | 3-3 | Third League - Southwest |
| Aug 11, 2018 | Belasitsa(home) | 2-1 | Third League - Southwest |
How many goals should we expect?
Septemvri Simitli score 0.4 and concede 1.2 goals per match over their last 5; Nadezhda Dobroslavtsi score 1.2 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Septemvri Simitli | 0.4 | 1.2 | 2 | 0/5 | 0/5 |
| Nadezhda Dobroslavtsi | 1.2 | 2.2 | 0 | 3/5 | 4/5 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Septemvri Simitli | 4 | 2 | 1 | 1 | 6 | 5 | 7 |
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