Mladost DG vs Berane: result 1-0 and analysis
Second LeagueRegular Season - 18Kick-off on November 29, 2021 at 12:00 PM (UTC)DG Arena, Podgorica
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What was the result of Mladost DG vs Berane?
Mladost DG won 1-0 on November 29, 2021.
Goalscorers
- 90′?Mladost DG (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mladost DG have 4 wins, 6 draws and 5 defeats; Berane have 5, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 25, 2021 | Kom(home) | 1-1 | Second League |
| Nov 21, 2021 | Bokelj(away) | 1-1 | Second League |
| Nov 10, 2021 | Jedinstvo(away) | 1-2 | Second League |
| Nov 6, 2021 | Arsenal Tivat(home) | 1-2 | Second League |
| Oct 31, 2021 | Grbalj(away) | 0-0 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 21, 2021 | Kom(home) | 1-0 | Second League |
| Nov 14, 2021 | Arsenal Tivat(away) | 1-2 | Second League |
| Nov 10, 2021 | FK Mladost Podgorica(home) | 2-0 | Second League |
| Nov 6, 2021 | Igalo(away) | 0-3 | Second League |
| Oct 31, 2021 | Bokelj(home) | 0-2 | Second League |
What does the head-to-head say?
In the last meeting: 1 Mladost DG win, 0 draws, 0 Berane wins.
| Date | Score | Competition |
|---|---|---|
| Oct 9, 2021 | Berane 1-2 Mladost DG | Second League |
How many goals should we expect?
Mladost DG score 1.1 and concede 1.2 goals per match over their last 15; Berane score 0.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mladost DG | 1.1 | 1.2 | 3 | 11/15 | 7/15 |
| Berane | 0.9 | 1.5 | 4 | 5/15 | 8/15 |
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 Mladost DG vs Berane?
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