Dečić vs Jedinstvo: result 0-0 and analysis
Second LeagueRegular Season - 17Kick-off on November 18, 2018 at 12:00 PM (UTC)Stadion Tuško Polje, Tuzi
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What was the result of Dečić vs Jedinstvo?
Dečić and Jedinstvo drew 0-0 on November 18, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dečić have 5 wins, 4 draws and 6 defeats; Jedinstvo 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 11, 2018 | Mladost Lješkopolje(away) | 0-1 | Second League |
| Nov 4, 2018 | Bokelj(home) | 1-0 | Second League |
| Oct 28, 2018 | Igalo(away) | 0-0 | Second League |
| Oct 21, 2018 | Jezero(home) | 4-1 | Second League |
| Oct 14, 2018 | Kom(away) | 0-1 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 11, 2018 | Berane(away) | 1-0 | Second League |
| Nov 4, 2018 | Mladost Lješkopolje(home) | 0-2 | Second League |
| Oct 28, 2018 | Bokelj(away) | 0-1 | Second League |
| Oct 21, 2018 | Igalo(home) | 1-1 | Second League |
| Oct 14, 2018 | Jezero(away) | 0-0 | Second League |
What does the head-to-head say?
In the last meeting: 0 Dečić wins, 0 draws, 1 Jedinstvo win.
| Date | Score | Competition |
|---|---|---|
| Sep 19, 2018 | Jedinstvo 2-1 Dečić | Second League |
How many goals should we expect?
Dečić score 1.2 and concede 1.0 goals per match over their last 15; Jedinstvo score 0.6 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dečić | 1.2 | 1.0 | 5 | 6/15 | 6/15 |
| Jedinstvo | 0.6 | 0.6 | 8 | 3/15 | 2/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Jedinstvo | 11 | 6 | 2 | 3 | 17 | 13 | 20 |
A question about Dečić vs Jedinstvo?
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