FC Porto vs FC Krasnodar: result 2-3 and analysis
UEFA Champions League3rd Qualifying RoundKick-off on August 13, 2019 at 07:00 PM (UTC)Estádio Do Dragão, Porto
Full time
What was the result of FC Porto vs FC Krasnodar?
FC Krasnodar won 2-3 on August 13, 2019.
Goalscorers
- 3′T. VilhenaFC Krasnodar
- 12′M. SuleymanovFC Krasnodar
- 34′M. SuleymanovFC Krasnodar
- 57′Zé LuísFC Porto
- 77′L. DíazFC Porto
What is the recent form of both teams?
Over their last 15 matches in all competitions, FC Porto have 9 wins, 3 draws and 3 defeats; FC Krasnodar have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 10, 2019 | GIL Vicente(away) | 1-2 | Primeira Liga |
| Aug 7, 2019 | FC Krasnodar(away) | 1-0 | UEFA Champions League |
| May 25, 2019 | Sporting CP(away) | 3-3 | Taça de Portugal |
| May 18, 2019 | Sporting CP(home) | 2-1 | Primeira Liga |
| May 12, 2019 | Nacional(away) | 4-0 | Primeira Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 10, 2019 | Rubin(home) | 1-0 | Premier League |
| Aug 7, 2019 | FC Porto(home) | 0-1 | UEFA Champions League |
| Aug 3, 2019 | Zenit(away) | 1-1 | Premier League |
| Jul 27, 2019 | FC Sochi(home) | 3-0 | Premier League |
| Jul 20, 2019 | FC UFA(away) | 3-2 | Premier League |
What does the head-to-head say?
Across the last 1 meetings: 1 FC Porto win(s), 0 draw(s), 0 FC Krasnodar win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 7, 2019 | FC Krasnodar 0-1 FC Porto | UEFA Champions League |
Last archived meeting: FC Krasnodar vs FC Porto on Aug 7, 2019
How many goals should we expect?
FC Porto score 2.1 and concede 1.1 goals per match over their last 15; FC Krasnodar score 1.6 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FC Porto | 2.1 | 1.1 | 7 | 7/15 | 10/15 |
| FC Krasnodar | 1.6 | 0.7 | 7 | 6/15 | 5/15 |
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