Bravo vs NŠ Drava: result 1-0 and analysis
2. SNLRegular Season - 14Kick-off on November 3, 2018 at 11:00 AM (UTC)Športni Park Šiška, Ljubljana
Full time
What was the result of Bravo vs NŠ Drava?
Bravo won 1-0 on November 3, 2018.
Goalscorers
- 54′Ovbokha AgboyiBravo
Official lineup for Bravo vs NŠ Drava
The starting elevens fielded at kick-off.
Bravo
- MM. Nukić
- OOvbokha Agboyi
- DDomen Jugovar
- AAleksander Palamar
- AA. Kurtovič
- DDarko Zec
- DD. Brekalo
- ŽŽ. Trontelj
- MM. Turkuš
- MM. Križan
- DD. Gril
NŠ Drava
- JJaka Bizjak
- JJ. Šporn
- MM. Kukovec
- LLuka Lovenjak
- MM. Fanimo
- MMitja Rešek
- DD. Vezjak
- TT. Martić
- RR. Pirtovšek
- TTimotej Mate
- AAleksander Šeliga
What is the recent form of both teams?
Over their last 13 matches in all competitions, Bravo have 9 wins, 2 draws and 2 defeats; NŠ Drava have 7, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 31, 2018 | Dekani(away) | 5-0 | 2. SNL |
| Oct 28, 2018 | Beltinci(away) | 3-1 | 2. SNL |
| Oct 24, 2018 | Radomlje(home) | 1-2 | 2. SNL |
| Oct 20, 2018 | Brda Dobrovo(home) | 3-1 | 2. SNL |
| Sep 29, 2018 | Ilirija(away) | 3-0 | 2. SNL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2018 | Ankaran Hrvatini(home) | 2-0 | 2. SNL |
| Oct 21, 2018 | Tabor Sežana(away) | 3-3 | 2. SNL |
| Oct 14, 2018 | Beltinci(away) | 4-1 | 2. SNL |
| Oct 6, 2018 | Brda Dobrovo(home) | 1-2 | 2. SNL |
| Sep 29, 2018 | Dekani(away) | 1-0 | 2. SNL |
How many goals should we expect?
Bravo score 2.8 and concede 1.0 goals per match over their last 13; NŠ Drava score 2.4 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bravo | 2.8 | 1.0 | 5 | 8/13 | 11/13 |
| NŠ Drava | 2.4 | 1.3 | 3 | 9/13 | 9/13 |
Over the last 13 matches in all competitions.
A question about Bravo vs NŠ Drava?
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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