Inter Zapresic vs Vinogradar: result 3-0 and analysis
CupQuarter-finalsKick-off on December 4, 2018 at 04:00 PM (UTC)Stadion Ivan Laljak-Ivić, Zaprešić
Full time
What was the result of Inter Zapresic vs Vinogradar?
Inter Zapresic won 3-0 on December 4, 2018.
Goalscorers
- 12′K. AndrićInter Zapresic
- 22′K. MuharInter Zapresic
- 76′A. BosecInter Zapresic
Official lineup for Inter Zapresic vs Vinogradar
The starting elevens fielded at kick-off.
Inter Zapresic
- GG. Ohiremen Ajayi
- KK. Andrić
- JJ. Čeliković
- JJosip Brezovec
- NN. Rak
- KK. Muhar
- HH. Prenga
- IIvan Čeliković
- AA. Bosec
- MM. Vukčević
- MMladen Matković
Vinogradar
- II. Prijić
- MM. Povrženić
- ŽŽ. Štulec
- MMarijo Dučkić
- MMarko Bjelanović
- JJ. Bagarić
- FF. Šćrbec
- LLuka Čakarun
- MM. Ivkovčić
- MMarijan Grdenić
- GG. Bašić
What is the recent form of both teams?
Over their last 15 matches in all competitions, Inter Zapresic have 6 wins, 2 draws and 7 defeats; Vinogradar have 2, 0 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 30, 2018 | Istra 1961(away) | 2-0 | HNL |
| Nov 23, 2018 | Rudes(away) | 1-0 | HNL |
| Nov 10, 2018 | HNK Hajduk Split(away) | 0-3 | HNL |
| Nov 5, 2018 | NK Slaven Belupo(home) | 0-0 | HNL |
| Oct 30, 2018 | Istra 1961(home) | 2-1 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 31, 2018 | Jadran LP(home) | 4-2 | Cup |
| Sep 26, 2018 | Slavija Pleternica(away) | 4-0 | Cup |
How many goals should we expect?
Inter Zapresic score 1.5 and concede 1.6 goals per match over their last 15; Vinogradar score 4.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Inter Zapresic | 1.5 | 1.6 | 5 | 8/15 | 12/15 |
| Vinogradar | 4.0 | 1.0 | 1 | 1/2 | 2/2 |
Over the last 15 matches in all competitions.
A question about Inter Zapresic vs Vinogradar?
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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