Septemvri Simitli vs Sportist Svoge: result 1-1 and analysis
Third League - SouthwestRegular Season - 14Kick-off on November 3, 2018 at 12:00 PM (UTC)Stadion Struma, Simitli
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What was the result of Septemvri Simitli vs Sportist Svoge?
Septemvri Simitli and Sportist Svoge drew 1-1 on November 3, 2018.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Septemvri Simitli have 3 wins, 3 draws and 7 defeats; Sportist Svoge have 1, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2018 | Belasitsa(away) | 0-1 | Third League - Southwest |
| Oct 24, 2018 | Pirin Razlog(home) | 0-0 | Third League - Southwest |
| Oct 20, 2018 | Rilski Sportist(away) | 0-1 | Third League - Southwest |
| Oct 14, 2018 | Marek(home) | 0-0 | Third League - Southwest |
| Sep 29, 2018 | Vihren(away) | 0-2 | Third League - Southwest |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2018 | Slivnishki geroy(home) | 0-1 | Third League - Southwest |
| Oct 24, 2018 | Germaneya(away) | 1-2 | Third League - Southwest |
| Oct 20, 2018 | FK Minyor Pernik(home) | 0-1 | Third League - Southwest |
| Oct 14, 2018 | Balkan Botevgrad(away) | 1-1 | Third League - Southwest |
| Sep 29, 2018 | Belasitsa(away) | 1-3 | Third League - Southwest |
How many goals should we expect?
Septemvri Simitli score 0.4 and concede 0.9 goals per match over their last 13; Sportist Svoge score 0.8 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Septemvri Simitli | 0.4 | 0.9 | 5 | 1/13 | 1/13 |
| Sportist Svoge | 0.8 | 1.8 | 1 | 7/13 | 6/13 |
Over the last 13 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