FK Crvena Zvezda vs PSV Eindhoven: result 2-3 and analysis
UEFA Champions LeagueLeague Stage - 7Kick-off on January 21, 2025 at 08:00 PM (UTC)Stadion Rajko Mitić, Beograd
Full time
What was the result of FK Crvena Zvezda vs PSV Eindhoven?
PSV Eindhoven won 2-3 on January 21, 2025.
Goalscorers
- 17′L. de JongPSV Eindhoven
- 23′L. de JongPSV Eindhoven
- 43′R. FlamingoPSV Eindhoven
- 71′C. NdiayeFK Crvena Zvezda
- 77′N. DjigaFK Crvena Zvezda
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; PSV Eindhoven have 10, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 16, 2025 | OFK Beograd(home) | 3-3 | Friendlies Clubs |
| Jan 15, 2025 | Levski Sofia(away) | 4-0 | Friendlies Clubs |
| Jan 12, 2025 | Surkhon(away) | 3-1 | Friendlies Clubs |
| Jan 11, 2025 | Pogon Szczecin(home) | 5-2 | Friendlies Clubs |
| Jan 8, 2025 | Mura(home) | 4-2 | Friendlies Clubs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 18, 2025 | PEC Zwolle(away) | 1-3 | Eredivisie |
| Jan 14, 2025 | Excelsior(home) | 5-4 | KNVB Beker |
| Jan 11, 2025 | AZ Alkmaar(home) | 2-2 | Eredivisie |
| Dec 22, 2024 | Feyenoord(home) | 3-0 | Eredivisie |
| Dec 17, 2024 | Koninklijke HFC(home) | 8-0 | KNVB Beker |
How many goals should we expect?
FK Crvena Zvezda score 3.7 and concede 1.3 goals per match over their last 15; PSV Eindhoven score 3.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FK Crvena Zvezda | 3.7 | 1.3 | 5 | 10/15 | 13/15 |
| PSV Eindhoven | 3.5 | 1.3 | 6 | 7/15 | 13/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 28 | PSV Eindhoven | 8 | 2 | 2 | 4 | 16 | 16 | 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