Aadu Luukase karikas 2020

Aadu Luukase karikas 2020

Aadu Luukase karikas 2020 Best players LIBERO
PlayerPlayedReceptionRanking
  MatchesSets#=!/-+TotRc ind.Rc ind.Index

1

Uusküla Tanel
(Tallinna Ülikool)

1

3

11

0

1

0

0

3

15

0.9333

0.9333

0.44205

2

Rikberg Rait
(BIGBANK Tartu)

5

16

30

6

5

1

5

17

64

0.625

0.625

0.44175

3

Maar Silver
(PÄRNU VK)

1

4

2

0

1

0

8

10

21

0.5714

0.5714

0.4417

4

Haidla Rauno
(SELVER Tallinn)

2

8

12

1

1

2

5

5

26

0.5385

0.5385

0.44167

5

Kesküla Mikk
(BIGBANK Tartu)

1

3

11

3

1

3

2

12

32

0.5312

0.5312

0.44166

6

Losnikov Denis
(SELVER Tallinn)

3

10

25

5

8

0

8

9

55

0.5273

0.5273

0.44165

7

Valting Robin
(LotusTimber/Neemeco SK)

1

3

3

1

2

1

1

6

14

0.5

0.5

0.44163

8

Rühka Nils Erik
(Tallinna Ülikool)

3

7

14

6

7

0

4

13

44

0.4773

0.4773

0.44161

9

Vahtras Sten
(SELVER Tallinn)

3

8

13

4

3

0

17

14

51

0.451

0.451

0.44158

10

Lepp Cris Karlis
(TalTech)

2

8

15

4

10

3

13

16

61

0.3934

0.3934

0.44152

11

Losnikov Maksim
(LotusTimber/Neemeco SK)

1

3

5

3

2

2

7

7

26

0.2692

0.2692

0.4414

12

Tigane Jarek
(Viljandi VK)

1

5

2

0

6

2

12

8

30

0.2667

0.2667

0.4414

13

Meius Rasmus
(TalTech)

1

5

9

4

4

2

10

5

34

0.2353

0.2353

0.44137

14

Keel Martti
(PÄRNU VK)

1

4

7

4

4

4

11

4

34

0.0882

0.0882

0.44123

Ranking Calculation

Libero

the ranking takes into account:

  • Reception Index (Rc ind.): positive receptions minus negative receptions divided the total receptions

The Skill is “weighted” multiplying the index with a specific coefficients per skill and per role and successively multiplied with another coefficient which determines the impact of the libero role on the game, in other words the importance of the role towards the win probability.

Filters applied

  • Minimum number of Matches played:  1

  • Minimum number of Receptions per set:  3