NK Osijek II vs Dinamo Zagreb II: result 3-0 and analysis
First NLRegular Season - 22Kick-off on April 28, 2019 at 03:00 PM (UTC)Stadion Gradski vrt, Osijek
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What was the result of NK Osijek II vs Dinamo Zagreb II?
NK Osijek II won 3-0 on April 28, 2019.
Goalscorers
- 52′J. ŠpoljarićNK Osijek II
- 54′Mile TodorovNK Osijek II
- 90′N. DagoNK Osijek II
What is the recent form of both teams?
Over their last 15 matches in all competitions, NK Osijek II have 8 wins, 1 draws and 6 defeats; Dinamo Zagreb II have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 20, 2019 | NK Varazdin(away) | 0-2 | First NL |
| Apr 13, 2019 | Kustosija(home) | 2-0 | First NL |
| Apr 8, 2019 | HNK Hajduk Split II(away) | 1-3 | First NL |
| Mar 30, 2019 | Dugopolje(home) | 4-0 | First NL |
| Mar 23, 2019 | Lucko(away) | 0-1 | First NL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 23, 2019 | Solin(home) | 1-1 | First NL |
| Apr 18, 2019 | Dugopolje(away) | 0-1 | First NL |
| Apr 14, 2019 | NK Varazdin(home) | 1-2 | First NL |
| Apr 6, 2019 | Kustosija(away) | 0-1 | First NL |
| Mar 31, 2019 | HNK Hajduk Split II(home) | 0-0 | First NL |
What does the head-to-head say?
Across the last 1 meetings: 0 NK Osijek II win(s), 0 draw(s), 1 Dinamo Zagreb II win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 21, 2018 | Dinamo Zagreb II 4-1 NK Osijek II | First NL |
Last archived meeting: Dinamo Zagreb II vs NK Osijek II on Oct 21, 2018
How many goals should we expect?
NK Osijek II score 1.5 and concede 1.1 goals per match over their last 15; Dinamo Zagreb II score 1.2 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| NK Osijek II | 1.5 | 1.1 | 7 | 6/15 | 7/15 |
| Dinamo Zagreb II | 1.2 | 0.8 | 5 | 6/15 | 4/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy