Berane vs Drezga: result 4-1 and analysis
Second LeagueRegular Season - 35Kick-off on May 22, 2021 at 03:30 PM (UTC)Gradski Stadion, Berane
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What was the result of Berane vs Drezga?
Berane won 4-1 on May 22, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Berane have 3 wins, 5 draws and 7 defeats; Drezga have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 16, 2021 | Ibar(away) | 3-2 | Second League |
| May 12, 2021 | Igalo(home) | 2-1 | Second League |
| May 8, 2021 | Arsenal Tivat(away) | 1-1 | Second League |
| May 2, 2021 | Kom(home) | 2-3 | Second League |
| Apr 28, 2021 | Grbalj(away) | 2-2 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 16, 2021 | Bokelj(home) | 1-2 | Second League |
| May 12, 2021 | Mornar(away) | 0-10 | Second League |
| May 8, 2021 | Jedinstvo(away) | 2-1 | Second League |
| May 2, 2021 | Ibar(home) | 2-4 | Second League |
| Apr 28, 2021 | Igalo(away) | 1-4 | Second League |
What does the head-to-head say?
Across the last 3 meetings: 1 Berane win, 1 draw, 1 Drezga win.
| Date | Score | Competition |
|---|---|---|
| Apr 10, 2021 | Drezga 2-1 Berane | Second League |
| Nov 22, 2020 | Berane 1-1 Drezga | Second League |
| Oct 3, 2020 | Drezga 0-1 Berane | Second League |
How many goals should we expect?
Berane score 1.0 and concede 1.5 goals per match over their last 15; Drezga score 1.0 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Berane | 1.0 | 1.5 | 2 | 8/15 | 7/15 |
| Drezga | 1.0 | 2.1 | 2 | 9/15 | 9/15 |
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 Drezga?
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