Jedinstvo vs Dečić: result 3-0 and analysis
Second LeagueRegular Season - 26Kick-off on April 3, 2019 at 01:30 PM (UTC)Gradski Stadion, Bijelo Polje
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What was the result of Jedinstvo vs Dečić?
Jedinstvo won 3-0 on April 3, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Jedinstvo have 4 wins, 8 draws and 3 defeats; Dečić have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 31, 2019 | Berane(home) | 2-1 | Second League |
| Mar 24, 2019 | Mladost Lješkopolje(away) | 2-2 | Second League |
| Mar 20, 2019 | Bokelj(home) | 1-0 | Second League |
| Mar 17, 2019 | Igalo(away) | 0-0 | Second League |
| Mar 10, 2019 | Jezero(home) | 0-1 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 31, 2019 | Mladost Lješkopolje(home) | 1-2 | Second League |
| Mar 24, 2019 | Bokelj(away) | 0-0 | Second League |
| Mar 20, 2019 | Igalo(home) | 1-1 | Second League |
| Mar 17, 2019 | Jezero(away) | 0-0 | Second League |
| Mar 10, 2019 | Kom(home) | 1-2 | Second League |
What does the head-to-head say?
Across the last 2 meetings: 1 Jedinstvo win, 1 draw, 0 Dečić wins.
| Date | Score | Competition |
|---|---|---|
| Nov 18, 2018 | Dečić 0-0 Jedinstvo | Second League |
| Sep 19, 2018 | Jedinstvo 2-1 Dečić | Second League |
How many goals should we expect?
Jedinstvo score 0.6 and concede 0.5 goals per match over their last 15; Dečić score 0.9 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jedinstvo | 0.6 | 0.5 | 9 | 3/15 | 2/15 |
| Dečić | 0.9 | 0.9 | 8 | 4/15 | 5/15 |
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 Jedinstvo vs Dečić?
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