Koper vs NŠ Drava: result 1-1 and analysis
2. SNLRegular Season - 9Kick-off on September 22, 2019 at 05:00 PM (UTC)ŠRC Bonifika, Koper
Full time
What was the result of Koper vs NŠ Drava?
Koper and NŠ Drava drew 1-1 on September 22, 2019.
Goalscorers
- 72′N. HaljetaNŠ Drava
- 89′Goran GalešićKoper
Official lineup for Koper vs NŠ Drava
The starting elevens fielded at kick-off.
Koper
- EE. Baša
- JJaka Štromajer
- II. Jelić Balta
- DDare Vršič
- GGoran Galešić
- IIvica Guberac
- DDamir Hadžič
- DD. Mišić
- ŽŽ. Žužek
- LL. Badžim
- II. Nenezič
NŠ Drava
- MM. Brest
- JJan Novak
- NN. Haljeta
- AA. Kačinari
- JJasmin Dedić
- MM. Marcius
- MMitja Rešek
- MM. Bajrami
- AA. Melvan
- TTimotej Mate
- DD. Curanović
What is the recent form of both teams?
Over their last 15 matches in all competitions, Koper have 10 wins, 3 draws and 2 defeats; NŠ Drava have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 18, 2019 | Maribor(home) | 3-2 | Cup |
| Sep 15, 2019 | Radomlje(away) | 2-0 | 2. SNL |
| Sep 7, 2019 | Dravograd(away) | 2-0 | 2. SNL |
| Aug 31, 2019 | Beltinci(home) | 2-0 | 2. SNL |
| Aug 24, 2019 | Brežice(away) | 1-0 | 2. SNL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2019 | Dravograd(home) | 3-2 | 2. SNL |
| Sep 7, 2019 | Beltinci(away) | 2-0 | 2. SNL |
| Aug 30, 2019 | Brežice(home) | 5-1 | 2. SNL |
| Aug 24, 2019 | Nafta(away) | 1-2 | 2. SNL |
| Aug 17, 2019 | Gorica(home) | 1-2 | 2. SNL |
How many goals should we expect?
Koper score 2.0 and concede 1.1 goals per match over their last 15; NŠ Drava score 1.6 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Koper | 2.0 | 1.1 | 6 | 8/15 | 8/15 |
| NŠ Drava | 1.6 | 1.2 | 4 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Koper 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