NK Osijek II vs Trnje: result 3-2 and analysis
Second NLMatchday 14Kick-off on November 19, 2022 at 12:30 PM (UTC)Stadion Gradski vrt, Osijek
Full time
What was the result of NK Osijek II vs Trnje?
NK Osijek II won 3-2 on November 19, 2022.
Goalscorers
- 13′?NK Osijek II
- 29′?Trnje
- 81′?NK Osijek II (pen.)
- 90′?Trnje
- 90′?NK Osijek II
What is the recent form of both teams?
Over their last 15 matches in all competitions, NK Osijek II have 3 wins, 4 draws and 8 defeats; Trnje have 4, 7 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 12, 2022 | Mladost Ždralovi(away) | 0-3 | Second NL |
| Nov 5, 2022 | Sesvete(home) | 0-2 | Second NL |
| Oct 28, 2022 | Belišće(away) | 0-1 | Second NL |
| Oct 22, 2022 | Opatija(home) | 1-3 | Second NL |
| Oct 15, 2022 | Marsonia(away) | 2-2 | Second NL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 12, 2022 | Zagorec(home) | 1-0 | Second NL |
| Nov 5, 2022 | Grobničan Čavle(away) | 0-2 | Second NL |
| Oct 29, 2022 | Jadran Poreč(home) | 3-3 | Second NL |
| Oct 22, 2022 | Dugo Selo(away) | 2-2 | Second NL |
| Oct 15, 2022 | Mladost Ždralovi(away) | 1-0 | Second NL |
How many goals should we expect?
NK Osijek II score 1.1 and concede 1.9 goals per match over their last 15; Trnje score 1.4 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| NK Osijek II | 1.1 | 1.9 | 2 | 8/15 | 9/15 |
| Trnje | 1.4 | 1.5 | 6 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Trnje | 11 | 4 | 3 | 4 | 16 | 14 | 15 |
A question about NK Osijek II vs Trnje?
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