FK Crvena Zvezda vs Sparta Praha: result 2-0 and analysis
UEFA Europa League3rd Qualifying RoundKick-off on July 27, 2017 at 06:30 PM (UTC)Stadion Rajko Mitić, Beograd
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What was the result of FK Crvena Zvezda vs Sparta Praha?
FK Crvena Zvezda won 2-0 on July 27, 2017.
Goalscorers
- 13′R. BoakyeFK Crvena Zvezda
- 65′G. KangaFK Crvena Zvezda
What is the recent form of both teams?
Over their last 15 matches in all competitions, FK Crvena Zvezda have 11 wins, 2 draws and 2 defeats; Sparta Praha have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 23, 2017 | Radnicki NIS(home) | 3-0 | Super Liga |
| Jul 20, 2017 | Irtysh Omsk(home) | 2-0 | UEFA Europa League |
| Jul 13, 2017 | Irtysh Omsk(away) | 1-1 | UEFA Europa League |
| Jul 6, 2017 | Floriana(away) | 3-3 | UEFA Europa League |
| Jun 29, 2017 | Floriana(home) | 3-0 | UEFA Europa League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 23, 2017 | FC Rostov(home) | 1-1 | UEFA Europa League |
| Feb 16, 2017 | FC Rostov(away) | 0-4 | UEFA Europa League |
| Dec 8, 2016 | Inter(away) | 1-2 | UEFA Europa League |
| Nov 24, 2016 | Southampton(home) | 1-0 | UEFA Europa League |
| Nov 3, 2016 | Hapoel Beer Sheva(home) | 2-0 | UEFA Europa League |
How many goals should we expect?
FK Crvena Zvezda score 2.5 and concede 0.9 goals per match over their last 15; Sparta Praha score 1.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FK Crvena Zvezda | 2.5 | 0.9 | 8 | 7/15 | 11/15 |
| Sparta Praha | 1.3 | 1.5 | 5 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | FK Crvena Zvezda | 8 | 4 | 2 | 2 | 7 | 6 | 14 |
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