Brežice vs Radomlje: result 1-1 and analysis
2. SNLRegular Season - 17Kick-off on November 9, 2019 at 01:00 PM (UTC)Stadion Brežice, Brežice
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What was the result of Brežice vs Radomlje?
Brežice and Radomlje drew 1-1 on November 9, 2019.
Goalscorers
- 32′Žan NikolićRadomlje
- 78′Robert DrugovičBrežice
What is the recent form of both teams?
Over their last 15 matches in all competitions, Brežice have 2 wins, 4 draws and 9 defeats; Radomlje have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2019 | Nafta(home) | 0-0 | 2. SNL |
| Oct 26, 2019 | Gorica(home) | 0-0 | 2. SNL |
| Oct 20, 2019 | Brda Dobrovo(away) | 1-0 | 2. SNL |
| Oct 12, 2019 | Krka(away) | 0-0 | 2. SNL |
| Oct 5, 2019 | Dekani(away) | 0-1 | 2. SNL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2019 | Krško(home) | 3-1 | 2. SNL |
| Oct 29, 2019 | Celje(home) | 0-0 | Cup |
| Oct 26, 2019 | Nafta(away) | 0-4 | 2. SNL |
| Oct 22, 2019 | Celje(away) | 1-1 | Cup |
| Oct 19, 2019 | Bilje(home) | 1-2 | 2. SNL |
What does the head-to-head say?
Across the last 3 meetings: 0 Brežice win(s), 0 draw(s), 3 Radomlje win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 3, 2019 | Radomlje 2-0 Brežice | 2. SNL |
| May 11, 2019 | Radomlje 2-1 Brežice | 2. SNL |
| Oct 20, 2018 | Brežice 1-4 Radomlje | 2. SNL |
How many goals should we expect?
Brežice score 0.5 and concede 1.5 goals per match over their last 15; Radomlje score 2.1 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Brežice | 0.5 | 1.5 | 6 | 4/15 | 4/15 |
| Radomlje | 2.1 | 1.4 | 3 | 10/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 15 | Brežice | 2 | 0 | 0 | 2 | 2 | 4 | 0 |
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