Kyustendil vs Bansko: result 2-0 and analysis
Third League - SouthwestSouth-West - 8Kick-off on September 21, 2019 at 02:00 PM (UTC)Stadion Osogovo, Kyustendil
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What was the result of Kyustendil vs Bansko?
Kyustendil won 2-0 on September 21, 2019.
What is the recent form of both teams?
Over their last 7 matches in all competitions, Kyustendil have 4 wins, 1 draws and 2 defeats; Bansko have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2019 | Vihren(away) | 0-1 | Third League - Southwest |
| Sep 7, 2019 | Chavdar Etropole(home) | 2-0 | Third League - Southwest |
| Aug 31, 2019 | Perun Kresna(away) | 3-0 | Third League - Southwest |
| Aug 24, 2019 | Pirin Razlog(home) | 0-1 | Third League - Southwest |
| Aug 17, 2019 | Sportist Svoge(away) | 3-2 | Third League - Southwest |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2019 | FK Minyor Pernik(home) | 0-1 | Third League - Southwest |
| Sep 5, 2019 | Slivnishki geroy(away) | 1-1 | Third League - Southwest |
| Aug 31, 2019 | Botev Ihtiman(home) | 0-1 | Third League - Southwest |
| Aug 24, 2019 | Rilski Sportist(away) | 1-1 | Third League - Southwest |
| Aug 17, 2019 | Marek(home) | 5-1 | Third League - Southwest |
How many goals should we expect?
Kyustendil score 1.4 and concede 0.7 goals per match over their last 7; Bansko score 1.4 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kyustendil | 1.4 | 0.7 | 3 | 2/7 | 2/7 |
| Bansko | 1.4 | 1.4 | 1 | 9/15 | 8/15 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
Kyustendil sit 15th in Third League - Southwest (4 points from 4 matches) and Bansko sit 1st (10 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Bansko | 4 | 3 | 1 | 0 | 10 | 4 | 10 |
| 15 | Kyustendil | 4 | 1 | 1 | 2 | 4 | 6 | 4 |
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