Cetinje vs Berane: result 2-0 and analysis
Second LeagueRegular Season - 10Kick-off on October 13, 2021 at 01:00 PM (UTC)Stadion Lugovi, Budva
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What was the result of Cetinje vs Berane?
Cetinje won 2-0 on October 13, 2021.
Goalscorers
- 55′N. DraganićCetinje
- 70′?Cetinje
What is the recent form of both teams?
Over their last 9 matches in all competitions, Cetinje have 3 wins, 1 draw and 5 defeats; Berane have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 9, 2021 | Kom(home) | 3-2 | Second League |
| Oct 3, 2021 | Arsenal Tivat(away) | 0-2 | Second League |
| Sep 26, 2021 | FK Mladost Podgorica(home) | 2-1 | Second League |
| Sep 19, 2021 | Igalo(away) | 0-3 | Second League |
| Sep 12, 2021 | Bokelj(home) | 0-2 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 9, 2021 | Mladost DG(home) | 1-2 | Second League |
| Oct 3, 2021 | Kom(away) | 3-0 | Second League |
| Sep 26, 2021 | Arsenal Tivat(home) | 0-0 | Second League |
| Sep 19, 2021 | FK Mladost Podgorica(away) | 2-1 | Second League |
| Sep 12, 2021 | Igalo(home) | 3-2 | Second League |
What does the head-to-head say?
In the last meeting: 0 Cetinje wins, 0 draws, 1 Berane win.
| Date | Score | Competition |
|---|---|---|
| Aug 15, 2021 | Berane 1-0 Cetinje | Second League |
How many goals should we expect?
Cetinje score 0.8 and concede 1.3 goals per match over their last 9; Berane score 1.7 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cetinje | 0.8 | 1.3 | 2 | 2/9 | 3/9 |
| Berane | 1.7 | 1.5 | 3 | 10/15 | 11/15 |
Over the last 9 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 Cetinje 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