Slovan Bratislava vs FC Copenhagen: result 1-3 and analysis
UEFA Europa Conference LeagueGroup Stage - 1Kick-off on September 16, 2021 at 04:45 PM (UTC)Štadión Tehelné pole, Bratislava
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What was the result of Slovan Bratislava vs FC Copenhagen?
FC Copenhagen won 1-3 on September 16, 2021.
Goalscorers
- 18′J. WindFC Copenhagen
- 21′E. HentySlovan Bratislava
- 41′J. StageFC Copenhagen
- 68′J. WindFC Copenhagen (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Slovan Bratislava have 8 wins, 4 draws and 3 defeats; FC Copenhagen have 11, 3 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 12, 2021 | Dunajska Streda(away) | 1-1 | Super Liga |
| Sep 4, 2021 | Málinec(away) | 7-0 | Cup |
| Aug 29, 2021 | Zlaté Moravce(home) | 4-1 | Super Liga |
| Aug 26, 2021 | Olympiakos Piraeus(home) | 2-2 | UEFA Europa League |
| Aug 22, 2021 | Sereď(away) | 1-0 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 12, 2021 | Randers FC(away) | 2-0 | Superliga |
| Aug 29, 2021 | Vejle(away) | 4-0 | Superliga |
| Aug 26, 2021 | Sivasspor(home) | 5-0 | UEFA Europa Conference League |
| Aug 22, 2021 | Sonderjyske(home) | 2-0 | Superliga |
| Aug 19, 2021 | Sivasspor(away) | 2-1 | UEFA Europa Conference League |
How many goals should we expect?
Slovan Bratislava score 2.2 and concede 1.1 goals per match over their last 15; FC Copenhagen score 2.7 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Slovan Bratislava | 2.2 | 1.1 | 5 | 9/15 | 9/15 |
| FC Copenhagen | 2.7 | 0.7 | 7 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 29 | Slovan Bratislava | 6 | 2 | 0 | 4 | 5 | 9 | 6 |
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