Opatija vs Marsonia: result 2-1 and analysis
Second NLRegular Season - 16Kick-off on February 24, 2023 at 02:00 PM (UTC)Stadion NK Opatija, Opatija
Full time
What was the result of Opatija vs Marsonia?
Opatija won 2-1 on February 24, 2023.
Goalscorers
- 44′108320Marsonia
- 55′T. KukočOpatija
- 62′?Opatija
What is the recent form of both teams?
Over their last 15 matches in all competitions, Opatija have 5 wins, 5 draws and 5 defeats; Marsonia have 3, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 3, 2023 | Bravo(home) | 0-1 | Friendlies Clubs |
| Jan 28, 2023 | Dubrava Zagreb(home) | 0-2 | Friendlies Clubs |
| Jan 28, 2023 | Dubrava Zagreb(away) | 0-2 | Friendlies Clubs |
| Jan 25, 2023 | Kustosija(away) | 3-3 | Friendlies Clubs |
| Nov 25, 2022 | Jadran LP(home) | 1-1 | Second NL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 26, 2022 | Dugo Selo(home) | 2-2 | Second NL |
| Nov 19, 2022 | Jadran LP(away) | 0-3 | Second NL |
| Nov 12, 2022 | Medjimurje Cakovec(home) | 1-3 | Second NL |
| Nov 4, 2022 | Zrinski Jurjevac(away) | 0-1 | Second NL |
| Oct 29, 2022 | Bjelovar(home) | 0-2 | Second NL |
What does the head-to-head say?
In the last meeting: 0 Opatija wins, 1 draw, 0 Marsonia wins.
| Date | Score | Competition |
|---|---|---|
| Aug 20, 2022 | Marsonia 1-1 Opatija | Second NL |
How many goals should we expect?
Opatija score 1.5 and concede 1.2 goals per match over their last 15; Marsonia score 1.1 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Opatija | 1.5 | 1.2 | 3 | 8/15 | 6/15 |
| Marsonia | 1.1 | 2.2 | 2 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Opatija vs Marsonia?
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