Bokelj vs Berane: result 1-1 and analysis
Second LeagueRegular Season - 21Kick-off on March 10, 2019 at 01:30 PM (UTC)Stadion pod Vrmcem, Kotor
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What was the result of Bokelj vs Berane?
Bokelj and Berane drew 1-1 on March 10, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bokelj have 6 wins, 5 draws and 4 defeats; Berane have 0, 2 and 13.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 3, 2019 | Igalo(away) | 1-0 | Second League |
| Dec 5, 2018 | Kom(home) | 1-2 | Second League |
| Dec 2, 2018 | Jezero(home) | 0-0 | Second League |
| Nov 18, 2018 | Arsenal Tivat(away) | 0-1 | Second League |
| Nov 11, 2018 | Otrant-Olympic(home) | 1-3 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 3, 2019 | Otrant-Olympic(home) | 0-1 | Second League |
| Dec 2, 2018 | Igalo(away) | 1-1 | Second League |
| Nov 25, 2018 | Dečić(home) | 0-4 | Second League |
| Nov 18, 2018 | Jezero(away) | 0-2 | Second League |
| Nov 11, 2018 | Jedinstvo(home) | 0-1 | Second League |
What does the head-to-head say?
Across the last 2 meetings: 2 Bokelj wins, 0 draws, 0 Berane wins.
| Date | Score | Competition |
|---|---|---|
| Oct 14, 2018 | Berane 0-6 Bokelj | Second League |
| Aug 26, 2018 | Bokelj 6-0 Berane | Second League |
How many goals should we expect?
Bokelj score 1.1 and concede 0.5 goals per match over their last 15; Berane score 0.4 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bokelj | 1.1 | 0.5 | 10 | 3/15 | 4/15 |
| Berane | 0.4 | 2.4 | 1 | 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 |
|---|---|---|---|---|---|---|---|---|
| 10 | Berane | 11 | 0 | 2 | 9 | 7 | 25 | 2 |
A question about Bokelj 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