Berane vs Dečić: result 1-3 and analysis
Second LeagueRegular Season - 36Kick-off on May 25, 2019 at 03:30 PM (UTC)Gradski Stadion, Berane
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What was the result of Berane vs Dečić?
Dečić won 1-3 on May 25, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Berane have 5 wins, 1 draw and 9 defeats; Dečić have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2019 | Jezero(away) | 1-3 | Second League |
| May 12, 2019 | Jedinstvo(home) | 1-0 | Second League |
| May 8, 2019 | Kom(away) | 1-2 | Second League |
| May 5, 2019 | Mladost Lješkopolje(home) | 0-2 | Second League |
| Apr 28, 2019 | Arsenal Tivat(away) | 1-2 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2019 | Jedinstvo(home) | 4-1 | Second League |
| May 12, 2019 | Mladost Lješkopolje(away) | 1-0 | Second League |
| May 8, 2019 | Bokelj(home) | 1-0 | Second League |
| May 5, 2019 | Igalo(away) | 0-0 | Second League |
| Apr 28, 2019 | Jezero(home) | 0-3 | Second League |
What does the head-to-head say?
Across the last 3 meetings: 1 Berane win, 0 draws, 2 Dečić wins.
| Date | Score | Competition |
|---|---|---|
| Apr 7, 2019 | Dečić 0-3 Berane | Second League |
| Nov 25, 2018 | Berane 0-4 Dečić | Second League |
| Sep 23, 2018 | Dečić 6-1 Berane | Second League |
How many goals should we expect?
Berane score 1.1 and concede 1.7 goals per match over their last 15; Dečić score 0.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Berane | 1.1 | 1.7 | 3 | 8/15 | 10/15 |
| Dečić | 0.7 | 1.1 | 7 | 4/15 | 6/15 |
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 Berane 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