Krka vs Brda Dobrovo: result 3-1 and analysis
2. SNLRegular Season - 10Kick-off on September 25, 2019 at 02:00 PM (UTC)Stadion Portoval, Novo mesto
Full time
What was the result of Krka vs Brda Dobrovo?
Krka won 3-1 on September 25, 2019.
Goalscorers
- 12′Ž. KastrevecKrka
- 46′T. GolobBrda Dobrovo
- 55′L. PavičKrka
- 63′David ŠkrbecKrka
What is the recent form of both teams?
Over their last 15 matches in all competitions, Krka have 8 wins, 4 draws and 3 defeats; Brda Dobrovo have 2, 7 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2019 | Radomlje(home) | 1-3 | 2. SNL |
| Sep 14, 2019 | Dekani(away) | 2-1 | 2. SNL |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2019 | Dekani(home) | 3-2 | 2. SNL |
| Sep 18, 2019 | NK Domzale(home) | 0-3 | Cup |
| Sep 13, 2019 | Fužinar(away) | 1-2 | 2. SNL |
| Aug 31, 2019 | Krško(away) | 1-0 | 2. SNL |
| Aug 25, 2019 | Bilje(home) | 1-3 | 2. SNL |
What does the head-to-head say?
Across the last 2 meetings: 0 Krka win(s), 2 draw(s), 0 Brda Dobrovo win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 16, 2019 | Krka 2-2 Brda Dobrovo | 2. SNL |
| Aug 26, 2018 | Brda Dobrovo 1-1 Krka | 2. SNL |
How many goals should we expect?
Krka score 1.9 and concede 1.5 goals per match over their last 15; Brda Dobrovo score 1.1 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Krka | 1.9 | 1.5 | 3 | 12/15 | 12/15 |
| Brda Dobrovo | 1.1 | 1.6 | 4 | 9/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 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