Drezga vs Berane: result 2-1 and analysis
Second LeagueRegular Season - 26Kick-off on April 10, 2021 at 01:30 PM (UTC)Stadion Drezge, Piperi
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What was the result of Drezga vs Berane?
Drezga won 2-1 on April 10, 2021.
Goalscorers
- 15′?Drezga
- 43′?Berane
- 63′?Drezga
What is the recent form of both teams?
Over their last 15 matches in all competitions, Drezga have 3 wins, 3 draws and 9 defeats; Berane have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 7, 2021 | Ibar(away) | 0-1 | Second League |
| Apr 4, 2021 | Bokelj(away) | 1-0 | Second League |
| Mar 31, 2021 | Mornar(home) | 0-1 | Second League |
| Mar 27, 2021 | Jedinstvo(home) | 1-4 | Second League |
| Mar 13, 2021 | Igalo(home) | 1-1 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 31, 2021 | Igalo(away) | 0-4 | Second League |
| Mar 27, 2021 | Arsenal Tivat(home) | 0-1 | Second League |
| Mar 21, 2021 | Kom(away) | 0-0 | Second League |
| Mar 13, 2021 | Grbalj(home) | 2-0 | Second League |
| Mar 7, 2021 | Jedinstvo(away) | 0-3 | Second League |
What does the head-to-head say?
Across the last 2 meetings: 0 Drezga wins, 1 draw, 1 Berane win.
| Date | Score | Competition |
|---|---|---|
| Nov 22, 2020 | Berane 1-1 Drezga | Second League |
| Oct 3, 2020 | Drezga 0-1 Berane | Second League |
How many goals should we expect?
Drezga score 0.7 and concede 1.4 goals per match over their last 15; Berane score 1.2 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Drezga | 0.7 | 1.4 | 4 | 5/15 | 4/15 |
| Berane | 1.2 | 1.2 | 6 | 6/15 | 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 Drezga 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