Sibenik vs Lucko: result 0-0 and analysis
First NLRegular Season - 12Kick-off on October 14, 2017 at 01:00 PM (UTC)Stadion Šubićevac, Šibenik
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What was the result of Sibenik vs Lucko?
Sibenik and Lucko drew 0-0 on October 14, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sibenik have 6 wins, 3 draws and 6 defeats; Lucko have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 11, 2017 | Hrvatski Dragovoljac(home) | 3-1 | First NL |
| Oct 7, 2017 | Novigrad(away) | 2-1 | First NL |
| Sep 30, 2017 | Dugopolje(home) | 1-2 | First NL |
| Sep 27, 2017 | NK Varazdin(away) | 0-0 | First NL |
| Sep 24, 2017 | Dinamo Zagreb II(away) | 0-3 | First NL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 11, 2017 | Dinamo Zagreb II(away) | 0-3 | First NL |
| Oct 7, 2017 | Sesvete(home) | 2-0 | First NL |
| Oct 1, 2017 | Kustosija(away) | 0-0 | First NL |
| Sep 27, 2017 | HNK Hajduk Split II(home) | 2-2 | First NL |
| Sep 23, 2017 | Solin(away) | 1-0 | First NL |
What does the head-to-head say?
Across the last 4 meetings: 2 Sibenik wins, 0 draws, 2 Lucko wins.
| Date | Score | Competition |
|---|---|---|
| Aug 19, 2017 | Lucko 1-0 Sibenik | First NL |
| Apr 22, 2017 | Sibenik 2-0 Lucko | First NL |
| Nov 19, 2016 | Lucko 2-1 Sibenik | First NL |
| Sep 10, 2016 | Sibenik 1-0 Lucko | First NL |
How many goals should we expect?
Sibenik score 0.9 and concede 1.1 goals per match over their last 15; Lucko score 0.9 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sibenik | 0.9 | 1.1 | 6 | 6/15 | 8/15 |
| Lucko | 0.9 | 0.9 | 8 | 3/15 | 3/15 |
Over the last 15 matches in all competitions.
A question about Sibenik vs Lucko?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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