Zagorec vs NK Osijek: result 0-3 and analysis
Cup1st RoundKick-off on September 19, 2018 at 01:30 PM (UTC)ŠRC Podgora, Krapina
Full time
What was the result of Zagorec vs NK Osijek?
NK Osijek won 0-3 on September 19, 2018.
Goalscorers
- 35′M. PervanNK Osijek
- 55′K. KamenarNK Osijek
- 88′T. ŠtrkaljNK Osijek
Official lineup for Zagorec vs NK Osijek
The starting elevens fielded at kick-off.
Zagorec
- MM. Smrekar
- MM. Majcenić
- DD. Kunštek
- AA. Landripet
- MM. Hoić
- SS. Poljak
- DD. Cerovec
- MM. Puklin
- JJ. Sambol
- DD. Postonjski
- DD. Babić
NK Osijek
- MM. Marić
- TT. Stavitski
- DDmytro Lopa
- KK. Kamenar
- MM. Pervan
- MM. Ćavar
- EE. Janža
- SS. Radeljić
- TT. Šorša
- BB. Šutalo
- KK. Santini
What is the recent form of both teams?
In their last match in all competitions, Zagorec have 1 win, 0 draws and 0 defeats; NK Osijek have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 29, 2018 | Libertas(home) | 9-0 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 16, 2018 | HNK Rijeka(away) | 1-1 | HNL |
| Sep 1, 2018 | NK Lokomotiva Zagreb(home) | 2-1 | HNL |
| Aug 24, 2018 | NK Slaven Belupo(home) | 1-1 | HNL |
| Aug 17, 2018 | Dinamo Zagreb(away) | 1-2 | HNL |
| Aug 12, 2018 | Istra 1961(home) | 3-0 | HNL |
How many goals should we expect?
Zagorec score 9.0 and concede 0.0 goals per match in their last match; NK Osijek score 1.6 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Zagorec | 9.0 | 0.0 | 1 | 0/1 | 1/1 |
| NK Osijek | 1.6 | 1.1 | 1 | 12/15 | 8/15 |
Over the last match in all competitions.
A question about Zagorec vs NK Osijek?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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