TOP SPORT Lietuvos Moterų Tinklinio Čempionatas 2010/2021

Reguliarusis Čempionatas

TOP SPORT Lietuvos Moterų Tinklinio Čempionatas 2010/2021 Best players MIDDLE BLOCKER
PlayerPlayedServeServeBlockBlockAttackAttackRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.Index

1

TOLEIKYTĖ Rėja
(VILNIAUS SM "Tauras" - VTC)

10

33

10

13

1

102

0.0072

0.0072

19

15

7

54

0.0125

0.0125

51

12

3

123

9.6585

9.6585

0.49168

2

VALUŽYTĖ Paulina
(GARGŽDŲ Sporto Centras)

10

32

11

17

3

88

0.0101

0.0101

13

20

3

53

0.0094

0.0094

48

12

12

157

4.8917

4.8917

0.48752

3

ŠIDLAUSKAITĖ Miglė
(LSU)

8

23

8

6

4

88

0.0107

0.0107

8

11

1

32

0.0072

0.0072

36

13

5

100

4.14

4.14

0.47684

4

BLAŠKEVIČ Karina
(ALYTAUS "Prekyba-Parama")

10

31

12

14

1

97

0.0096

0.0096

9

6

3

31

0.0067

0.0067

33

6

8

98

6.0102

6.0102

0.46749

5

SKIRMONTAITĖ-TAMOŠAUSKĖ Agnė
(GARGŽDŲ Sporto Centras)

7

21

3

1

1

59

0.0044

0.0044

13

14

3

42

0.0142

0.0142

25

12

9

125

0.672

0.672

0.46005

6

ŽELVYTĖ Emilija
(ALYTAUS "Prekyba-Parama")

10

32

7

11

3

93

0.0074

0.0074

10

10

3

45

0.0074

0.0074

40

11

1

98

9.1429

9.1429

0.4586

7

KUBERTAVIČIENĖ Rūta
(VILNIAUS Universitetas)

10

35

9

14

1

127

0.0062

0.0062

10

16

8

49

0.0062

0.0062

118

12

7

212

16.3443

16.3443

0.45446

8

CIBULSKAITĖ Ugnė
(VILNIAUS SM "Tauras" - VTC)

10

32

8

16

0

95

0.0053

0.0053

15

13

3

40

0.0099

0.0099

40

15

4

97

6.9278

6.9278

0.45152

9

MIKOLIŪNAITĖ Greta
(Jonavos "Aušrinė-KKSC')

9

33

3

5

3

100

0.0041

0.0041

14

35

16

77

0.0095

0.0095

44

9

8

100

8.91

8.91

0.44274

10

VENCEVIČIŪTĖ Milda
(VILNIAUS Universitetas)

9

19

5

3

2

71

0.0048

0.0048

11

6

3

28

0.0075

0.0075

40

12

6

84

4.9762

4.9762

0.42837

11

MIKLOVYTĖ Lina
(LSU)

9

25

4

3

1

58

0.0039

0.0039

13

14

9

40

0.0103

0.0103

22

20

5

90

-0.8333

-0.8333

0.42751

12

ČĖSNAITĖ Simona
(Jonavos "Aušrinė-KKSC')

7

20

8

3

1

67

0.0082

0.0082

3

4

2

15

0.0027

0.0027

7

4

1

24

1.6667

1.6667

0.42128

13

UMANTAITĖ Benita
(VILNIAUS Universitetas)

9

27

5

12

1

91

0.0043

0.0043

9

14

0

31

0.0065

0.0065

48

16

3

112

6.9911

6.9911

0.42128

14

CURUKOVA Karolina
(GARGŽDŲ Sporto Centras)

9

29

4

7

3

105

0.0055

0.0055

4

10

2

26

0.0032

0.0032

52

20

11

191

3.1885

3.1885

0.40346

15

MUKAITĖ Emilija
(Jonavos "Aušrinė-KKSC')

4

8

0

1

2

18

0.0035

0.0035

2

3

1

7

0.0035

0.0035

2

3

0

8

-1

-1

0.38074

16

ŠITEL Ivona
(VILNIAUS Universitetas)

4

5

0

1

0

5

0

0

3

1

0

4

0.0046

0.0046

1

0

0

3

1.6667

1.6667

0.36019

17

MURAUSKAITĖ Miglė
(VILNIAUS SM "Tauras" - VTC)

3

3

0

3

0

5

0

0

1

0

0

1

0.0022

0.0022

4

3

0

12

0.25

0.25

0.3458

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:  3