Nafta vs Krško: result 2-0 and analysis
Cup8th FinalsKick-off on September 11, 2019 at 04:00 PM (UTC)Športni park Lendava, Lendava
Full time
What was the result of Nafta vs Krško?
Nafta won 2-0 on September 11, 2019.
Goalscorers
- 10′S. OštrekNafta
- 89′S. OštrekNafta
Official lineup for Nafta vs Krško
The starting elevens fielded at kick-off.
Nafta
- VV. Vinko
- RR. Paku
- MMarko Malešević
- MM. Rebernik
- SS. Oštrek
- DD. Szökrönyös
- SSamo Žalik
- LLeon Leuštek
- RR. Pirtovšek
- TTadej Pirtovšek
- FF. Raduha
Krško
- EE. Sokler
- LL. Čirjak
- JJan Marcijuš
- ŽŽ. Florjanc
- DDavid Žabec
- FF. Srpak
- EE. Eckert
- LL. Dadić
- TTilen Mlinar
- TT. Zakrajšek
- MM. Zalokar
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nafta have 10 wins, 2 draws and 3 defeats; Krško 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 |
|---|---|---|---|
| Sep 7, 2019 | Bilje(home) | 1-0 | 2. SNL |
| Aug 31, 2019 | Dob(away) | 7-1 | 2. SNL |
| Aug 24, 2019 | NŠ Drava(home) | 2-1 | 2. SNL |
| Aug 18, 2019 | Koper(away) | 1-2 | 2. SNL |
| Aug 14, 2019 | Šencur(away) | 1-0 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 7, 2019 | Gorica(away) | 3-2 | 2. SNL |
| Aug 31, 2019 | Brda Dobrovo(home) | 0-1 | 2. SNL |
| Aug 25, 2019 | Krka(away) | 1-3 | 2. SNL |
| Aug 17, 2019 | Dekani(home) | 3-0 | 2. SNL |
| Aug 14, 2019 | Grad(away) | 4-1 | Cup |
How many goals should we expect?
Nafta score 2.3 and concede 0.7 goals per match over their last 15; Krško score 2.0 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nafta | 2.3 | 0.7 | 6 | 8/15 | 9/15 |
| Krško | 2.0 | 1.8 | 3 | 9/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about Nafta vs Krško?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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