FC Krasnodar vs Valencia: result 1-1 and analysis
UEFA Europa League8th FinalsKick-off on March 14, 2019 at 05:55 PM (UTC)Stadion FK Krasnodar, Krasnodar
Full time
What was the result of FC Krasnodar vs Valencia?
FC Krasnodar and Valencia drew 1-1 on March 14, 2019.
Goalscorers
- 85′M. SuleymanovFC Krasnodar
- 90′Gonçalo GuedesValencia
What is the recent form of both teams?
Over their last 15 matches in all competitions, FC Krasnodar have 6 wins, 6 draws and 3 defeats; Valencia have 9, 5 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 11, 2019 | FC Orenburg(home) | 2-2 | Premier League |
| Mar 7, 2019 | Valencia(away) | 1-2 | UEFA Europa League |
| Mar 3, 2019 | Spartak Moscow(away) | 1-1 | Premier League |
| Feb 21, 2019 | Bayer Leverkusen(away) | 1-1 | UEFA Europa League |
| Feb 14, 2019 | Bayer Leverkusen(home) | 0-0 | UEFA Europa League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 10, 2019 | Girona(away) | 3-2 | La Liga |
| Mar 7, 2019 | FC Krasnodar(home) | 2-1 | UEFA Europa League |
| Mar 3, 2019 | Athletic Club(home) | 2-0 | La Liga |
| Feb 28, 2019 | Real Betis(home) | 1-0 | Copa del Rey |
| Feb 24, 2019 | Leganes(away) | 1-1 | La Liga |
What does the head-to-head say?
Across the last 1 meetings: 0 FC Krasnodar win(s), 0 draw(s), 1 Valencia win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 7, 2019 | Valencia 2-1 FC Krasnodar | UEFA Europa League |
Last archived meeting: Valencia vs FC Krasnodar on Mar 7, 2019
How many goals should we expect?
FC Krasnodar score 1.5 and concede 1.1 goals per match over their last 15; Valencia score 1.6 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FC Krasnodar | 1.5 | 1.1 | 4 | 10/15 | 10/15 |
| Valencia | 1.6 | 0.7 | 7 | 7/15 | 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