Dekani vs NŠ Drava: result 3-1 and analysis
2. SNLRegular Season - 1Kick-off on July 27, 2019 at 03:30 PM (UTC)Igrišče Ivan Gregorič, Dekani
Full time
What was the result of Dekani vs NŠ Drava?
Dekani won 3-1 on July 27, 2019.
Goalscorers
- 40′L. StepančičDekani
- 63′L. StepančičDekani
- 73′N. HaljetaNŠ Drava
- 80′Mateo VerunicaDekani
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dekani have 3 wins, 6 draws and 6 defeats; NŠ Drava have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 26, 2019 | Rogaška(away) | 0-3 | 2. SNL |
| May 18, 2019 | Bilje(home) | 0-3 | 2. SNL |
| May 15, 2019 | Brežice(away) | 1-1 | 2. SNL |
| May 11, 2019 | Fužinar(home) | 4-5 | 2. SNL |
| May 4, 2019 | Bravo(away) | 1-5 | 2. SNL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 26, 2019 | Fužinar(away) | 0-2 | 2. SNL |
| May 18, 2019 | Bravo(home) | 0-1 | 2. SNL |
| May 15, 2019 | Ankaran Hrvatini(away) | 3-0 | 2. SNL |
| May 11, 2019 | Tabor Sežana(home) | 1-1 | 2. SNL |
| May 4, 2019 | Beltinci(home) | 1-0 | 2. SNL |
What does the head-to-head say?
Across the last 2 meetings: 0 Dekani win(s), 1 draw(s), 1 NŠ Drava win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 20, 2019 | NŠ Drava 0-0 Dekani | 2. SNL |
| Sep 29, 2018 | Dekani 0-1 NŠ Drava | 2. SNL |
How many goals should we expect?
Dekani score 1.5 and concede 2.1 goals per match over their last 15; NŠ Drava score 1.2 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dekani | 1.5 | 2.1 | 3 | 8/15 | 9/15 |
| NŠ Drava | 1.2 | 1.1 | 6 | 6/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Dekani | 3 | 1 | 0 | 2 | 3 | 3 | 3 |
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