Berane vs Jezero: result 1-0 and analysis
Second LeagueRegular Season - 26Kick-off on April 3, 2019 at 01:30 PM (UTC)Gradski Stadion, Berane
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What was the result of Berane vs Jezero?
Berane won 1-0 on April 3, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Berane have 0 wins, 3 draws and 12 defeats; Jezero have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Mar 10, 2019 | Bokelj(away) | 1-1 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 31, 2019 | Kom(away) | 0-4 | Second League |
| Mar 24, 2019 | Arsenal Tivat(home) | 1-0 | Second League |
| Mar 20, 2019 | Otrant-Olympic(away) | 0-1 | Second League |
| Mar 17, 2019 | Dečić(home) | 0-0 | Second League |
| Mar 10, 2019 | Jedinstvo(away) | 1-0 | Second League |
What does the head-to-head say?
Across the last 2 meetings: 0 Berane wins, 0 draws, 2 Jezero wins.
| Date | Score | Competition |
|---|---|---|
| Nov 18, 2018 | Jezero 2-0 Berane | Second League |
| Sep 19, 2018 | Berane 1-2 Jezero | Second League |
How many goals should we expect?
Berane score 0.4 and concede 2.3 goals per match over their last 15; Jezero score 0.7 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Berane | 0.4 | 2.3 | 1 | 4/15 | 6/15 |
| Jezero | 0.7 | 1.6 | 6 | 5/15 | 7/15 |
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 Jezero?
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