FK Crvena Zvezda vs FC Copenhagen: result 1-1 and analysis
UEFA Champions League3rd Qualifying RoundKick-off on August 6, 2019 at 06:45 PM (UTC)Stadion Rajko Mitić, Beograd
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What was the result of FK Crvena Zvezda vs FC Copenhagen?
FK Crvena Zvezda and FC Copenhagen drew 1-1 on August 6, 2019.
Goalscorers
- 44′M. PavkovFK Crvena Zvezda
- 84′J. WindFC Copenhagen (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, FK Crvena Zvezda have 12 wins, 1 draws and 2 defeats; FC Copenhagen have 12, 0 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 31, 2019 | HJK Helsinki(away) | 1-2 | UEFA Champions League |
| Jul 27, 2019 | Radnicki NIS(home) | 2-0 | Super Liga |
| Jul 24, 2019 | HJK Helsinki(home) | 2-0 | UEFA Champions League |
| Jul 20, 2019 | Javor(home) | 2-0 | Super Liga |
| Jul 16, 2019 | Suduva Marijampole(home) | 2-1 | UEFA Champions League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 3, 2019 | Sonderjyske(away) | 2-1 | Superliga |
| Jul 31, 2019 | The New Saints(home) | 1-0 | UEFA Champions League |
| Jul 27, 2019 | AC Horsens(away) | 2-0 | Superliga |
| Jul 23, 2019 | The New Saints(away) | 2-0 | UEFA Champions League |
| Jul 19, 2019 | Aarhus(home) | 2-1 | Superliga |
How many goals should we expect?
FK Crvena Zvezda score 2.2 and concede 0.5 goals per match over their last 15; FC Copenhagen score 2.1 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FK Crvena Zvezda | 2.2 | 0.5 | 10 | 5/15 | 9/15 |
| FC Copenhagen | 2.1 | 1.2 | 7 | 7/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 31 | FC Copenhagen | 8 | 2 | 2 | 4 | 12 | 21 | 8 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy