TOP SPORT Lietuvos Moterų Tinklinio Čempionatas 2021/2022

Competition

Libero

TOP SPORT Lietuvos Moterų Tinklinio Čempionatas 2021/2022 Best players LIBERO
PlayerPlayedReceptionRanking
  MatchesSets#=!/-+TotRc ind.Rc ind.Index

1

LISAUSKIENĖ Inga
(Jonavos "Aušrinė-KKSC')

6

15

23

3

0

0

12

13

51

0.6471

0.6471

0.30382

2

PRETKELYTĖ Indrė
(VILNIAUS Universitetas)

13

45

81

25

0

3

87

101

297

0.5185

0.5185

0.30346

3

PATKAUSKAITĖ Gabija
(VILNIAUS SM "Tauras" - VTC)

9

35

27

14

0

1

42

65

149

0.5168

0.5168

0.30345

4

RUTKAUSKAITĖ Rusnė
(TK “Kaunas”-VDU)

6

19

27

11

0

2

26

39

105

0.5048

0.5048

0.30342

5

JONAITYTĖ Emilija
(VILNIAUS SM "Tauras" - VTC)

7

26

23

9

0

1

23

26

82

0.4756

0.4756

0.30334

6

SIMONAITYTĖ Karina
(GARGŽDŲ "Amber Volley")

8

34

23

21

0

4

57

86

191

0.4398

0.4398

0.30324

7

MIKELIONYTĖ Aušrinė
(ALYTAUS "Prekyba-Parama")

1

4

7

3

0

0

9

6

25

0.4

0.4

0.30312

8

ČEPANSKYTĖ Evelina
(VILNIAUS SM "Tauras" - VTC)

1

2

2

0

0

1

4

3

10

0.4

0.4

0.30312

9

FOLMER Greta
(LSU)

6

22

6

10

0

2

32

38

88

0.3636

0.3636

0.30302

10

KNIAZEVAITĖ Martyna
(KSM ''STARTAS''- Viktorija -Svaja)

10

35

36

28

0

9

104

56

233

0.2361

0.2361

0.30266

11

GRUDZINSKAITĖ Rugilė
(VILNIAUS SM "Tauras" - VTC)

2

7

10

9

0

2

17

13

51

0.2353

0.2353

0.30266

12

ŠIDLAUSKAITĖ Monika
(LSU)

9

31

2

24

0

0

72

47

145

0.1724

0.1724

0.30248

13

VAIKŠNORAITĖ Gabija
(Jonavos "Aušrinė-KKSC')

5

12

12

11

0

2

10

6

41

0.122

0.122

0.30233

14

MINGAILAITĖ Gerda
(KSM ''STARTAS''- Viktorija -Svaja)

1

2

1

2

0

0

4

2

9

0.1111

0.1111

0.3023

15

JATKONYTĖ Gabrielė
(KSM ''STARTAS''- Viktorija -Svaja)

5

10

3

6

0

3

17

7

36

0.0278

0.0278

0.30207

16

VAZGYTĖ Liepa
(LSU)

1

3

0

3

0

0

5

1

9

-0.2222

-0.2222

0.30136

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

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