NK Zadar vs HNK Hajduk Split II: result 1-0 and analysis
First NLMatchday 7Kick-off on October 6, 2018 at 12:30 PM (UTC)Stadion Stanovi, Zadar
Full time
What was the result of NK Zadar vs HNK Hajduk Split II?
NK Zadar won 1-0 on October 6, 2018.
Goalscorers
- 90′Dragan ŽupanNK Zadar (pen.)
Official lineup for NK Zadar vs HNK Hajduk Split II
The starting elevens fielded at kick-off.
NK Zadar
- 2Antonio Repić
- 99Vlatko Blažević
- 10Dragan Župan
- 11J. Majić
- 16Z. Begić
- 21I. Lepinjica
- 3Matteo Pranić
- 4Ante Sarić
- 5Josip Iveljić
- 15Jure Jerbić
- 1J. Bender
HNK Hajduk Split II
- 9I. Delić
- 11M. Šego
- 25E. Sahiti
- 97D. Špikić
- 8L. Pasariček
- 22F. Kosić
- 3D. Bradarić
- 4M. Vušković
- 5A. Ismajli
- 20E. Šehić
- 1M. Ljubić
What is the recent form of both teams?
Over their last 7 matches in all competitions, NK Zadar have 3 wins, 2 draws and 2 defeats; HNK Hajduk Split II have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2018 | Dugopolje(home) | 3-1 | First NL |
| Sep 25, 2018 | Vukovar(away) | 5-3 | Cup |
| Sep 23, 2018 | Lucko(away) | 2-2 | First NL |
| Sep 15, 2018 | Bsk Bijelo Brdo(home) | 1-0 | First NL |
| Sep 7, 2018 | Sesvete(away) | 3-3 | First NL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2018 | NK Osijek II(away) | 1-3 | First NL |
| Sep 23, 2018 | Dinamo Zagreb II(home) | 2-0 | First NL |
| Sep 15, 2018 | NK Varazdin(away) | 2-4 | First NL |
| Sep 9, 2018 | Kustosija(away) | 1-1 | First NL |
| Sep 1, 2018 | Solin(away) | 0-1 | First NL |
How many goals should we expect?
NK Zadar score 2.1 and concede 2.0 goals per match over their last 7; HNK Hajduk Split II score 1.5 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| NK Zadar | 2.1 | 2.0 | 1 | 5/7 | 5/7 |
| HNK Hajduk Split II | 1.5 | 1.0 | 6 | 6/15 | 5/15 |
Over the last 7 matches in all competitions.
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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