Beroe vs Brondby: result 0-1 and analysis
UEFA Europa League2nd Qualifying RoundKick-off on July 16, 2015 at 05:00 PM (UTC)Stadion Beroe, Stara Zagora
Full time
What was the result of Beroe vs Brondby?
Brondby won 0-1 on July 16, 2015.
Goalscorers
- 85′M. AlbrechtsenBrondby
Official lineup for Beroe vs Brondby
The starting elevens fielded at kick-off.
Beroe
- 10J. Mpia Mapuku
- 14G. Bozhilov
- 18A. Zehirov
- 20N. Milisavljević
- 21Elias
- 27I. Djoman
- 77S. Delev
- 6I. Ivanov
- 24V. Vasilev
- 28Veselin Penev
- 22B. Makendzhiev
Brondby
- 9T. Pukki
- 11J. Elmander
- 14E. Rashani
- 6Martin Ørnskov
- 18L. Phiri
- 19C. Nørgaard
- 5M. Albrechtsen
- 13J. Larsson
- 17R. Durmisi
- 20D. Đumić
- 1L. Hrádecký
What is the recent form of both teams?
Over their last 2 matches in all competitions, Beroe have 2 wins, 0 draws and 0 defeats; Brondby have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 9, 2015 | Atlantas(home) | 3-1 | UEFA Europa League |
| Jul 2, 2015 | Atlantas(away) | 2-0 | UEFA Europa League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 9, 2015 | Juvenes / Dogana(away) | 2-0 | UEFA Europa League |
| Jul 2, 2015 | Juvenes / Dogana(home) | 9-0 | UEFA Europa League |
| Jun 7, 2015 | Esbjerg(home) | 0-1 | Superliga |
| May 31, 2015 | Randers FC(away) | 1-1 | Superliga |
| May 25, 2015 | FC Midtjylland(away) | 3-2 | Superliga |
How many goals should we expect?
Beroe score 2.5 and concede 0.5 goals per match over their last 2; Brondby score 2.1 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Beroe | 2.5 | 0.5 | 1 | 1/2 | 1/2 |
| Brondby | 2.1 | 0.5 | 9 | 4/15 | 4/15 |
Over the last 2 matches in all competitions.
A question about Beroe vs Brondby?
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