Manchester City vs FK Crvena Zvezda: result 3-1 and analysis
UEFA Champions LeagueGroup G - 1Kick-off on September 19, 2023 at 07:00 PM (UTC)Etihad Stadium, Manchester
Full time
What was the result of Manchester City vs FK Crvena Zvezda?
Manchester City won 3-1 on September 19, 2023.
Goalscorers
- 45′O. BukariFK Crvena Zvezda
- 47′J. ÁlvarezManchester City
- 60′J. ÁlvarezManchester City
- 73′RodriManchester City
What is the recent form of both teams?
Over their last 15 matches in all competitions, Manchester City have 10 wins, 3 draws and 2 defeats; FK Crvena Zvezda have 12, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 16, 2023 | West Ham(away) | 3-1 | Premier League |
| Sep 2, 2023 | Fulham(home) | 5-1 | Premier League |
| Aug 27, 2023 | Sheffield Utd(away) | 2-1 | Premier League |
| Aug 19, 2023 | Newcastle(home) | 1-0 | Premier League |
| Aug 16, 2023 | Sevilla(home) | 1-1 | UEFA Super Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 16, 2023 | Cukaricki(away) | 1-2 | Super Liga |
| Sep 2, 2023 | Novi Pazar(home) | 2-1 | Super Liga |
| Aug 26, 2023 | FK Vozdovac(away) | 2-3 | Super Liga |
| Aug 19, 2023 | FK Spartak Zdrepceva KRV(home) | 3-0 | Super Liga |
| Aug 11, 2023 | Mladost Lucani(away) | 4-1 | Super Liga |
How many goals should we expect?
Manchester City score 1.9 and concede 0.9 goals per match over their last 15; FK Crvena Zvezda score 2.9 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Manchester City | 1.9 | 0.9 | 4 | 10/15 | 8/15 |
| FK Crvena Zvezda | 2.9 | 0.7 | 8 | 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 |
|---|---|---|---|---|---|---|---|---|
| 8 | Manchester City | 8 | 5 | 1 | 2 | 15 | 9 | 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