Dečić vs Berane: result 0-3 and analysis
Second LeagueRegular Season - 27Kick-off on April 7, 2019 at 02:00 PM (UTC)Stadion Tuško Polje, Tuzi
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What was the result of Dečić vs Berane?
Berane won 0-3 on April 7, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dečić have 4 wins, 5 draws and 6 defeats; Berane have 1, 3 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 3, 2019 | Jedinstvo(away) | 0-3 | Second League |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 3, 2019 | Jezero(home) | 1-0 | Second League |
| Mar 31, 2019 | Jedinstvo(away) | 1-2 | Second League |
| Mar 24, 2019 | Kom(home) | 0-4 | Second League |
| Mar 20, 2019 | Mladost Lješkopolje(away) | 0-4 | Second League |
| Mar 17, 2019 | Arsenal Tivat(home) | 0-1 | Second League |
What does the head-to-head say?
Across the last 2 meetings: 2 Dečić wins, 0 draws, 0 Berane wins.
| Date | Score | Competition |
|---|---|---|
| Nov 25, 2018 | Berane 0-4 Dečić | Second League |
| Sep 23, 2018 | Dečić 6-1 Berane | Second League |
How many goals should we expect?
Dečić score 0.9 and concede 1.1 goals per match over their last 15; Berane score 0.3 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dečić | 0.9 | 1.1 | 7 | 4/15 | 6/15 |
| Berane | 0.3 | 2.0 | 2 | 3/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 10 | Berane | 11 | 0 | 2 | 9 | 7 | 25 | 2 |
A question about Dečić vs Berane?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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