Dekani vs Krka: result 1-2 and analysis
2. SNLRegular Season - 8Kick-off on September 14, 2019 at 02:00 PM (UTC)Igrišče Ivan Gregorič, Dekani
Full time
What was the result of Dekani vs Krka?
Krka won 1-2 on September 14, 2019.
Goalscorers
- 28′M. PotokarKrka
- 55′Antonio LukanovićDekani
- 62′M. PotokarKrka
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dekani have 4 wins, 3 draws and 8 defeats; Krka have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 7, 2019 | Radomlje(home) | 1-3 | 2. SNL |
| Aug 31, 2019 | Fužinar(away) | 1-4 | 2. SNL |
| Aug 24, 2019 | Rogaška(home) | 3-1 | 2. SNL |
| Aug 17, 2019 | Krško(away) | 0-3 | 2. SNL |
| Aug 10, 2019 | Bilje(home) | 1-2 | 2. SNL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 7, 2019 | Fužinar(home) | 1-2 | 2. SNL |
| Aug 31, 2019 | Rogaška(away) | 0-0 | 2. SNL |
| Aug 25, 2019 | Krško(home) | 3-1 | 2. SNL |
| Aug 17, 2019 | Bilje(away) | 3-3 | 2. SNL |
| Aug 10, 2019 | Dob(home) | 2-2 | 2. SNL |
What does the head-to-head say?
Across the last 2 meetings: 1 Dekani win(s), 0 draw(s), 1 Krka win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 9, 2019 | Dekani 4-3 Krka | 2. SNL |
| Aug 18, 2018 | Krka 2-1 Dekani | 2. SNL |
How many goals should we expect?
Dekani score 1.6 and concede 2.4 goals per match over their last 15; Krka score 1.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dekani | 1.6 | 2.4 | 2 | 10/15 | 13/15 |
| Krka | 1.9 | 1.5 | 3 | 12/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Dekani sit 10th in 2. SNL (3 points from 3 matches) and Krka sit 14th (1 points from 3 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Dekani | 3 | 1 | 0 | 2 | 3 | 3 | 3 |
| 14 | Krka | 3 | 0 | 1 | 2 | 2 | 6 | 1 |
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