Sibenik vs Solin: result 0-1 and analysis
First NLRegular Season - 11Kick-off on October 15, 2016 at 01:00 PM (UTC)Stadion Šubićevac, Šibenik
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What was the result of Sibenik vs Solin?
Solin won 0-1 on October 15, 2016.
Goalscorers
- 47′M. JelavićSolin
Official lineup for Sibenik vs Solin
The starting elevens fielded at kick-off.
Sibenik
- 7Jonathan Brito da Silva
- 9M. Slavica
- 10A. Dosti
- 21G. Živković
- 28I. Roca
- 4Luka Čagalj
- 6M. Rodin
- 11Y. Musa
- 18Martin Vukorepa
- 23Mario Bartulović
- 1H. Slavica
Solin
- 7Ivan Perković
- 9M. Jelavić
- 19D. Ninčević
- 24A. Batarelo
- 8L. Kapetanović
- 15T. Taraš
- 2Antonio Mrković
- 11M. Farić
- 18P. Zoungrana
- 22Goran Gruica
- 1Marko Čagalj
What is the recent form of both teams?
Over their last 10 matches in all competitions, Sibenik have 4 wins, 2 draws and 4 defeats; Solin have 3, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2016 | NK Zagreb(away) | 0-1 | First NL |
| Oct 1, 2016 | HNK Gorica(home) | 0-0 | First NL |
| Sep 28, 2016 | Imotski(home) | 2-0 | First NL |
| Sep 24, 2016 | Sesvete(away) | 0-4 | First NL |
| Sep 17, 2016 | Dugopolje(away) | 0-1 | First NL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2016 | Hrvatski Dragovoljac(home) | 0-1 | First NL |
| Oct 1, 2016 | Novigrad(home) | 0-2 | First NL |
| Sep 28, 2016 | HNK Gorica(home) | 2-1 | First NL |
| Sep 24, 2016 | NK Zagreb(away) | 1-1 | First NL |
| Sep 17, 2016 | Sesvete(away) | 1-4 | First NL |
How many goals should we expect?
Sibenik score 0.6 and concede 0.9 goals per match over their last 10; Solin score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sibenik | 0.6 | 0.9 | 5 | 1/10 | 2/10 |
| Solin | 0.9 | 1.3 | 1 | 5/10 | 3/10 |
Over the last 10 matches in all competitions.
A question about Sibenik vs Solin?
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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