Fužinar vs Dekani: result 4-1 and analysis
2. SNLRegular Season - 6Kick-off on August 31, 2019 at 03:00 PM (UTC)Športni center Vinka Cajnka, Slovenj Gradec
Full time
What was the result of Fužinar vs Dekani?
Fužinar won 4-1 on August 31, 2019.
Goalscorers
- 34′Ž. MedvedFužinar
- 74′Ž. MedvedFužinar
- 77′Tadej TrdinaFužinar
- 79′Ž. MedvedFužinar
- 87′Žiga PerhavecDekani
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fužinar have 8 wins, 3 draws and 4 defeats; Dekani 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 |
|---|---|---|---|
| Aug 24, 2019 | Radomlje(home) | 0-2 | 2. SNL |
| Aug 17, 2019 | Rogaška(away) | 1-2 | 2. SNL |
| Aug 10, 2019 | Krško(home) | 2-4 | 2. SNL |
| Aug 3, 2019 | Bilje(away) | 1-1 | 2. SNL |
| Jul 27, 2019 | Dob(home) | 2-1 | 2. SNL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Aug 3, 2019 | Dob(away) | 3-3 | 2. SNL |
| Jul 27, 2019 | NŠ Drava(home) | 3-1 | 2. SNL |
What does the head-to-head say?
Across the last 2 meetings: 1 Fužinar win(s), 1 draw(s), 0 Dekani win(s).
| Date | Score | Competition |
|---|---|---|
| May 11, 2019 | Dekani 4-5 Fužinar | 2. SNL |
| Oct 20, 2018 | Fužinar 1-1 Dekani | 2. SNL |
How many goals should we expect?
Fužinar score 1.9 and concede 1.3 goals per match over their last 15; Dekani score 1.5 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fužinar | 1.9 | 1.3 | 5 | 8/15 | 9/15 |
| Dekani | 1.5 | 2.1 | 3 | 8/15 | 11/15 |
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