FK Crvena Zvezda vs Barcelona: result 2-5 and analysis
UEFA Champions LeagueLeague Stage - 4Kick-off on November 6, 2024 at 08:00 PM (UTC)Stadion Rajko Mitić, Beograd
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What was the result of FK Crvena Zvezda vs Barcelona?
Barcelona won 2-5 on November 6, 2024.
Goalscorers
- 13′Íñigo MartínezBarcelona
- 27′S. Katompa MvumpaFK Crvena Zvezda
- 43′R. LewandowskiBarcelona
- 53′R. LewandowskiBarcelona
- 55′RaphinhaBarcelona
- 76′FermínBarcelona
- 84′MilsonFK Crvena Zvezda
What is the recent form of both teams?
Over their last 15 matches in all competitions, FK Crvena Zvezda have 11 wins, 0 draws and 4 defeats; Barcelona have 13, 0 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2024 | Vojvodina(home) | 3-0 | Super Liga |
| Oct 30, 2024 | Tekstilac Odžaci(away) | 7-0 | Cup |
| Oct 26, 2024 | FK Spartak Zdrepceva KRV(away) | 5-1 | Super Liga |
| Oct 22, 2024 | Monaco(away) | 1-5 | UEFA Champions League |
| Oct 18, 2024 | Radnicki NIS(home) | 5-1 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2024 | Espanyol(home) | 3-1 | La Liga |
| Oct 26, 2024 | Real Madrid(away) | 4-0 | La Liga |
| Oct 23, 2024 | Bayern München(home) | 4-1 | UEFA Champions League |
| Oct 20, 2024 | Sevilla(home) | 5-1 | La Liga |
| Oct 6, 2024 | Alaves(away) | 3-0 | La Liga |
How many goals should we expect?
FK Crvena Zvezda score 2.7 and concede 1.2 goals per match over their last 15; Barcelona score 3.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FK Crvena Zvezda | 2.7 | 1.2 | 6 | 8/15 | 12/15 |
| Barcelona | 3.3 | 0.9 | 5 | 10/15 | 14/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Barcelona | 8 | 5 | 1 | 2 | 22 | 14 | 16 |
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