Sevilla vs FC Krasnodar: result 3-2 and analysis
UEFA Champions LeagueGroup E - 3Kick-off on November 4, 2020 at 08:00 PM (UTC)Estadio Ramón Sánchez Pizjuán, Sevilla
Full time
What was the result of Sevilla vs FC Krasnodar?
Sevilla won 3-2 on November 4, 2020.
Goalscorers
- 17′M. SuleymanovFC Krasnodar
- 21′M. BergFC Krasnodar (pen.)
- 42′I. RakitićSevilla
- 69′Y. En-NesyriSevilla
- 72′Y. En-NesyriSevilla
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sevilla have 8 wins, 3 draws and 4 defeats; FC Krasnodar have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 31, 2020 | Athletic Club(away) | 1-2 | La Liga |
| Oct 28, 2020 | Rennes(home) | 1-0 | UEFA Champions League |
| Oct 24, 2020 | Eibar(home) | 0-1 | La Liga |
| Oct 20, 2020 | Chelsea(away) | 0-0 | UEFA Champions League |
| Oct 17, 2020 | Granada CF(away) | 0-1 | La Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 31, 2020 | Akhmat(away) | 0-2 | Premier League |
| Oct 28, 2020 | Chelsea(home) | 0-4 | UEFA Champions League |
| Oct 24, 2020 | Spartak Moscow(home) | 1-3 | Premier League |
| Oct 20, 2020 | Rennes(away) | 1-1 | UEFA Champions League |
| Oct 17, 2020 | Rubin(home) | 3-1 | Premier League |
What does the head-to-head say?
Across the last 2 meetings: 1 Sevilla win(s), 0 draw(s), 1 FC Krasnodar win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 13, 2018 | Sevilla 3-0 FC Krasnodar | UEFA Europa League |
| Oct 4, 2018 | FC Krasnodar 2-1 Sevilla | UEFA Europa League |
Last archived meeting: Sevilla vs FC Krasnodar on Dec 13, 2018
How many goals should we expect?
Sevilla score 1.1 and concede 0.7 goals per match over their last 15; FC Krasnodar score 1.6 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sevilla | 1.1 | 0.7 | 7 | 6/15 | 5/15 |
| FC Krasnodar | 1.6 | 1.4 | 2 | 9/15 | 7/15 |
Over the last 15 matches in all competitions.
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