Jarun vs NK Osijek II: result 3-0 and analysis
First NLRegular Season - 29Kick-off on May 21, 2022 at 03:30 PM (UTC)Igralište NK Kustošija, Zagreb
Full time
What was the result of Jarun vs NK Osijek II?
Jarun won 3-0 on May 21, 2022.
Goalscorers
- 22′A. AčkarJarun
- 32′R. FloruczJarun
- 75′M. KelavaJarun
What is the recent form of both teams?
Over their last 15 matches in all competitions, Jarun have 5 wins, 6 draws and 4 defeats; NK Osijek II have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 13, 2022 | Rudes(home) | 1-1 | First NL |
| May 7, 2022 | NK Varazdin(away) | 0-4 | First NL |
| Apr 30, 2022 | Opatija(home) | 2-1 | First NL |
| Apr 24, 2022 | Croatia Zmijavci(away) | 3-0 | First NL |
| Apr 16, 2022 | Solin(home) | 0-0 | First NL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 16, 2022 | Kustosija(home) | 0-1 | First NL |
| May 7, 2022 | Rudes(away) | 0-1 | First NL |
| May 2, 2022 | Inter Zapresic(home) | 1-2 | First NL |
| Apr 23, 2022 | NK Varazdin(away) | 1-4 | First NL |
| Apr 15, 2022 | HNK Cibalia(home) | 2-1 | First NL |
What does the head-to-head say?
Across the last 1 meetings: 0 Jarun win(s), 1 draw(s), 0 NK Osijek II win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 27, 2021 | NK Osijek II 0-0 Jarun | First NL |
Last archived meeting: NK Osijek II vs Jarun on Nov 27, 2021
How many goals should we expect?
Jarun score 1.4 and concede 1.2 goals per match over their last 15; NK Osijek II score 0.8 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jarun | 1.4 | 1.2 | 5 | 8/15 | 7/15 |
| NK Osijek II | 0.8 | 1.1 | 5 | 5/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Jarun | 33 | 8 | 9 | 16 | 34 | 42 | 33 |
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