Elapsed:
FT
Half time:
0 : 1
Full time:
0 : 1
Kick off:
17:00
Date:
Sat, 30-Oct-21

Tables

Team P W D L GF GA GD Pts Form
4FC Krasnodar3014884230+1250lwwdwd
8Krylya Sovetov Samara30125133936+341wllwll
  •  Champions League
  •  Champions League Qualifiers
  •  Relegation Play-Off
  •  Relegation

Fixtures

FC Krasnodar
Krylya Sovetov Samara
  •  Upcoming Match

Team Characteristics

FC Krasnodar
Krylya Sovetov Samara

+ FC Krasnodar's Strengths

Creating chances through individual skill
Very Strong
Protecting the lead
Very Strong
Coming back from losing positions
Strong
Creating long shot opportunities
Strong
Defending set pieces
Strong

+ Krylya Sovetov Samara's Strengths

Counter attacks
Very Strong
Attacking down the wings
Strong
Creating scoring chances
Strong

- FC Krasnodar's Weaknesses

Avoiding individual errors
Weak
Defending against attacks down the wings
Weak
Stopping opponents from creating chances
Very Weak
Defending counter attacks
Very Weak

- Krylya Sovetov Samara's Weaknesses

Protecting the lead
Weak
Avoiding individual errors
Weak
Aerial duels
Very Weak
Defending against skillful players
Very Weak

FC Krasnodar's Style

  • Attack through the middle
  • Take long shots
  • Short passes
  • Possession football
  • Aggressive

Krylya Sovetov Samara's Style

  • Short passes
  • Attacking down the right
  • Opponents play aggressively against them
  • Non-aggressive
  • Consistent first eleven
  • Playing in their own half
© WhoScored.com
* Strengths, weaknesses and styles are calculated from statistics of each player's latest two seasons

Match Forecast

FC Krasnodar will score as a result of individual skill
Extremely Likely
Krylya Sovetov Samara will score from a fast break situation
Extremely Likely
Krylya Sovetov Samara will create many scoring chances
Very Likely
FC Krasnodar will make a comeback if they go behind
Likely
Krylya Sovetov Samara will score from a wingplay situation
Likely
FC Krasnodar will be shown a high number of cards
Likely
* Match forecast is generated from clashes in team characteristics.

User Predictions

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