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FK Riteriai

FK Riteriai

Est. 2005·LithuaniaLithuania·Europa LeagueEuropa League
Club profile
2020/2021 · Europa League Qualifying
Founded2005
CountryLithuania
StadiumVilniaus LFF stadionas
Capacity5,067
CompetitionEuropa League Qualifying
Recent form · last 2
01Matches
2
3 pts
02Goals
4
2.0 / match
03Clean sheets
0
7 conceded
04Avg rating
Team spotlight
Each axis 0–100 vs the league
2020/2021
Team
League Avg
Percentile fingerprint
Goals Scored
#39
2.00
Total Shots
#101
5.50
Shots On Target
#59
4.50
Ball Possession
#67
51.0%
Fouls Committed
#76
14.50
Corners
#124
2.50
Top quartile (≥ P75)Below P75bar = percentile · value = per 90
Attacking DNAPer 90 mix
Goals Scored2.00
Total Shots5.50
Shots On Target4.50
Creation DNAPer 90 mix
Assists1.50
Defending DNAPer 90 mix
No data
Season snapshot
The 2020/2021 campaign in one view
Final position
/ 48
Points
3/ 6
Win rate
50%
Avg rating
Season journey
Cumulative pointsWDL
MD 1MD 1MD 2MD 2MD 2
GoalsGD -3
Scored
4
Conceded
7
2.0 scored / match3.5 conceded / match
Record2 matches
1
1
WonDrewLost
0clean sheets
0assists
Scoring heatmap
When FK Riteriai score — goals by match minute
Peak 31-45′ · 1
1
31-45
1
46-60
1
61-75
1
90+

About FK Riteriai

FK Riteriai is a football club from Lithuania, playing their home matches at Vilniaus LFF stadionas. Follow FK Riteriai on StatsLook for AI-powered match simulations, detailed statistics, squad information, and comprehensive performance analytics.

FK Riteriai have won 2 of their last 5 matches (40% win rate), scoring 6 and conceding 8.

Recent results for FK Riteriai:

FK Riteriai's squad consists of 6 players. Goalkeepers: Simone Moschin. Defenders: Milanas Rutkovskis. Midfielders: Armandas Šveistrys, M. Latvys, Simas Civilka. Forwards: Michael Kedman.

FK Riteriai plays their home matches at Vilniaus LFF stadionas in Vilnius, which has a capacity of 5,067.

StatsLook provides comprehensive coverage of FK Riteriai, including AI match simulations, live match updates, detailed statistics, squad information, and performance analytics powered by machine learning.

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