TOP SPORT Lietuvos Moterų Tinklinio Čempionatas 2021/2022

Reguliarusis Čempionatas

TOP SPORT Lietuvos Moterų Tinklinio Čempionatas 2021/2022 Best players MIDDLE BLOCKER
PlayerPlayedServeServeBlockBlockAttackAttackRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.Index

1

FIRINOVIČ Lilija
(GARGŽDŲ "Amber Volley")

7

30

27

14

7

109

0.0262

0.0262

40

34

3

105

0.0308

0.0308

92

19

8

216

9.0278

9.0278

0.75411

2

KARVELYTĖ Aurėja
(KSM ''STARTAS''- Viktorija -Svaja)

8

31

18

12

4

113

0.0158

0.0158

15

11

0

37

0.0108

0.0108

38

13

6

88

6.6932

6.6932

0.55032

3

MURAUSKAITĖ Miglė
(VILNIAUS SM "Tauras" - VTC)

7

22

14

14

2

69

0.0139

0.0139

13

12

0

28

0.0113

0.0113

21

2

1

37

10.7027

10.7027

0.54566

4

KAČINAITĖ Neringa
(VILNIAUS Universitetas)

7

25

15

10

2

97

0.0133

0.0133

12

11

0

39

0.0094

0.0094

48

13

8

115

5.8696

5.8696

0.51798

5

BARAUSKYTĖ Deimantė
(LSU)

5

18

14

12

2

62

0.0197

0.0197

1

6

0

12

0.0012

0.0012

11

2

4

34

2.6471

2.6471

0.51524

6

OGANAUSKIENE Vlada
(GARGŽDŲ "Amber Volley")

6

26

12

6

2

116

0.0125

0.0125

10

16

2

56

0.0089

0.0089

49

11

3

118

7.7119

7.7119

0.51059

7

GABULAITĖ Roberta
(KSM ''STARTAS''- Viktorija -Svaja)

5

16

4

8

2

40

0.0072

0.0072

9

8

0

24

0.0107

0.0107

24

7

6

51

3.451

3.451

0.4671

8

VENCEVIČIŪTĖ Milda
(VILNIAUS Universitetas)

8

31

8

7

2

106

0.0071

0.0071

14

17

0

61

0.01

0.01

34

18

6

103

3.0097

3.0097

0.46076

9

POCIŪTĖ Egidija
(GARGŽDŲ "Amber Volley")

8

31

15

14

1

100

0.0106

0.0106

4

7

0

14

0.0026

0.0026

27

9

8

98

3.1633

3.1633

0.44421

10

ŠIGAUSKAITĖ Stela
(LSU)

8

30

7

13

2

84

0.0071

0.0071

10

9

0

34

0.0079

0.0079

20

14

4

66

0.9091

0.9091

0.44363

11

MIKLOVYTĖ Lina
(LSU)

2

8

0

1

1

21

0.003

0.003

4

2

0

7

0.0121

0.0121

11

1

1

23

3.1304

3.1304

0.43912

12

UMANTAITĖ Benita
(VILNIAUS Universitetas)

4

12

2

4

0

40

0.0036

0.0036

5

8

0

18

0.0089

0.0089

14

1

4

38

2.8421

2.8421

0.42234

13

KALENDRAITĖ Rusnė
(KSM ''STARTAS''- Viktorija -Svaja)

4

15

4

2

0

27

0.0058

0.0058

4

2

0

7

0.0058

0.0058

9

7

5

47

-0.9574

-0.9574

0.41414

14

CIBULSKAITĖ Ugnė
(VILNIAUS SM "Tauras" - VTC)

8

23

4

13

1

52

0.0038

0.0038

5

6

0

14

0.0038

0.0038

17

6

3

38

4.8421

4.8421

0.39542

15

CURUKOVA Karolina
(GARGŽDŲ "Amber Volley")

4

16

4

2

0

42

0.0056

0.0056

1

9

0

14

0.0014

0.0014

28

5

4

73

4.1644

4.1644

0.39506

16

STASIŠKYTĖ Laima
(KSM ''STARTAS''- Viktorija -Svaja)

7

13

1

2

0

23

0.0008

0.0008

8

10

0

21

0.0066

0.0066

13

1

3

28

4.1786

4.1786

0.38699

17

ŽUKAITĖ Austėja
(KSM ''STARTAS''- Viktorija -Svaja)

5

11

2

1

0

19

0.0021

0.0021

1

2

0

8

0.0011

0.0011

5

0

1

13

3.3846

3.3846

0.36201

18

ŠITEL Ivona
(VILNIAUS Universitetas)

2

2

0

0

0

2

0

0

1

0

0

1

0.0025

0.0025

1

0

0

2

1

1

0.34897

19

VYBORNAITĖ Martyna
(LSU)

2

3

0

1

0

3

0

0

0

1

0

2

0

0

2

0

0

2

3

3

0.33246

20

ŠIDEIKYTĖ Toma
(GARGŽDŲ "Amber Volley")

1

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0.33246

21

POCĖ Ingrida
(VILNIAUS Universitetas)

1

2

0

1

0

3

0

0

0

1

0

1

0

0

1

2

0

3

-0.6667

-0.6667

0.33132

Ranking Calculation

Middle-Blocker

the ranking takes into account:

  • Serve Index (Sv ind.): positive serves divided the total points of both teams (ranking is available only if the player has made at least one serve per set)

  • Attack Index (Sp ind.): positive attacks minus negative attacks divided the total attacks (ranking is available only if the player has made at least three attacks per set)

  • Block Index (Bl ind.): positive blocks divided the total points of both teams

The final ranking is based on the final “index” which determines the impact of the role on the game, in other words the importance of the role towards the win probability. This final Index is calculated considering the indexes for each single skill (“ind.” columns) and a coefficient which indicates the “importance” of the role to determine the probability of success for the team. Each single skill index is calculated considering the positive and negative skills based on the number of points played from the teams and multiplied for a coefficient which indicates the importance of the skill for that role to determine the probability of success for the team. The icons next to each skill column give an idea about the “weight” of the skill determining the probability of success for the team in this role. The final Index is calculated also considering the following criteria:

  • Minimum number of Serves per set:  1

  • Minimum number of Spikes per set:  1

Serve

  • # serve ace

  • / half point

  • = serve error

Attack

  • # point

  • / blocked

  • = error

Block

  • # point

  • / Net touch

  • = hand out

Filters applied

  • Minimum number of Matches played:  1