Nafta vs Rudar: result 2-1 and analysis
CupQuarter-finalsKick-off on October 16, 2019 at 05:00 PM (UTC)Športni park Lendava, Lendava
Full time
What was the result of Nafta vs Rudar?
Nafta won 2-1 on October 16, 2019.
Goalscorers
- 49′A. PlojNafta
- 65′S. OštrekNafta
- 72′Elvedin DžinićRudar
Official lineup for Nafta vs Rudar
The starting elevens fielded at kick-off.
Nafta
- VV. Vinko
- AA. Ploj
- RR. Paku
- MMarko Malešević
- MM. Rebernik
- SS. Oštrek
- ŽŽiga Živko
- GG. Bolla
- LLeon Šeruga
- RR. Pirtovšek
- FF. Raduha
Rudar
- MM. Kuzmanović
- LLeon Črnčič
- HH. Kadrić
- DDamjan Trifkovič
- MMislav Anđelković
- RR. Kobiljar
- EElvedin Džinić
- DDavid Kašnik
- JJ. Filipović
- DD. Hrubik
- MMatej Radan
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nafta have 9 wins, 2 draws and 4 defeats; Rudar have 2, 5 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 12, 2019 | Brda Dobrovo(home) | 2-2 | 2. SNL |
| Oct 5, 2019 | Krka(away) | 2-3 | 2. SNL |
| Sep 29, 2019 | Dekani(home) | 5-0 | 2. SNL |
| Sep 25, 2019 | Fužinar(away) | 1-1 | 2. SNL |
| Sep 21, 2019 | Rogaška(home) | 4-1 | 2. SNL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2019 | Aluminij(home) | 1-2 | 1. SNL |
| Sep 29, 2019 | Triglav(home) | 1-1 | 1. SNL |
| Sep 25, 2019 | Maribor(away) | 0-5 | 1. SNL |
| Sep 22, 2019 | NK Domzale(home) | 2-3 | 1. SNL |
| Sep 19, 2019 | Olimpija Ljubljana(away) | 1-0 | Cup |
How many goals should we expect?
Nafta score 2.3 and concede 1.1 goals per match over their last 15; Rudar score 1.2 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nafta | 2.3 | 1.1 | 4 | 9/15 | 10/15 |
| Rudar | 1.2 | 2.2 | 1 | 10/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Nafta vs Rudar?
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy