Rogaška vs Dekani: result 2-1 and analysis
2. SNLRegular Season - 20Kick-off on March 7, 2020 at 02:00 PM (UTC)Športni center Rogaška Slatina, Rogaška Slatina
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What was the result of Rogaška vs Dekani?
Rogaška won 2-1 on March 7, 2020.
Goalscorers
- 64′Mateo VerunicaRogaška
- 69′I. PtičekRogaška
- 90′L. StepančičDekani
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rogaška have 2 wins, 2 draws and 11 defeats; Dekani have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 1, 2019 | Brda Dobrovo(away) | 0-1 | 2. SNL |
| Nov 23, 2019 | Fužinar(away) | 2-3 | 2. SNL |
| Nov 16, 2019 | Radomlje(away) | 0-5 | 2. SNL |
| Nov 9, 2019 | Krško(home) | 0-2 | 2. SNL |
| Nov 3, 2019 | Bilje(away) | 1-1 | 2. SNL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 23, 2019 | Krško(home) | 1-1 | 2. SNL |
| Nov 16, 2019 | Bilje(away) | 2-1 | 2. SNL |
| Nov 9, 2019 | Dob(home) | 1-1 | 2. SNL |
| Nov 2, 2019 | NŠ Drava(away) | 1-0 | 2. SNL |
| Oct 25, 2019 | Koper(away) | 0-4 | 2. SNL |
What does the head-to-head say?
Across the last 3 meetings: 2 Rogaška win(s), 0 draw(s), 1 Dekani win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 24, 2019 | Dekani 3-1 Rogaška | 2. SNL |
| May 26, 2019 | Rogaška 3-0 Dekani | 2. SNL |
| Nov 10, 2018 | Dekani 2-3 Rogaška | 2. SNL |
How many goals should we expect?
Rogaška score 0.8 and concede 2.4 goals per match over their last 15; Dekani score 1.4 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rogaška | 0.8 | 2.4 | 2 | 8/15 | 9/15 |
| Dekani | 1.4 | 1.9 | 2 | 10/15 | 10/15 |
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