Sibenik vs Jarun: result 2-0 and analysis
First NLRegular Season - 22Kick-off on March 16, 2024 at 02:30 PM (UTC)Stadion Šubićevac, Šibenik
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What was the result of Sibenik vs Jarun?
Sibenik won 2-0 on March 16, 2024.
Goalscorers
- 8′I. CvijanovićSibenik
- 66′D. ToševskiSibenik
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sibenik have 10 wins, 4 draws and 1 defeats; Jarun 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 |
|---|---|---|---|
| Mar 9, 2024 | Dubrava Zagreb(away) | 3-0 | First NL |
| Mar 2, 2024 | Croatia Zmijavci(home) | 2-1 | First NL |
| Feb 24, 2024 | Dugopolje(away) | 0-0 | First NL |
| Feb 17, 2024 | Sesvete(home) | 3-0 | First NL |
| Feb 10, 2024 | Jarun(home) | 3-1 | Friendlies Clubs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 9, 2024 | Solin(home) | 2-0 | First NL |
| Mar 3, 2024 | Vukovar(away) | 1-0 | First NL |
| Feb 23, 2024 | Bsk Bijelo Brdo(home) | 2-2 | First NL |
| Feb 16, 2024 | Dubrava Zagreb(home) | 1-0 | First NL |
| Feb 10, 2024 | Sibenik(away) | 1-3 | Friendlies Clubs |
What does the head-to-head say?
Across the last 2 meetings: 2 Sibenik win(s), 0 draw(s), 0 Jarun win(s).
| Date | Score | Competition |
|---|---|---|
| Feb 10, 2024 | Sibenik 3-1 Jarun | Friendlies Clubs |
| Oct 23, 2023 | Jarun 0-3 Sibenik | First NL |
How many goals should we expect?
Sibenik score 1.7 and concede 0.5 goals per match over their last 15; Jarun score 0.8 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sibenik | 1.7 | 0.5 | 8 | 6/15 | 7/15 |
| Jarun | 0.8 | 1.7 | 5 | 4/15 | 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