Женщины 2019/2020

Кубок России

Женщины 2019/2020 Best players OPPOSITE
PlayerPlayedServeServeBlockBlockAttackAttackRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.Index

1

Мартынюк Алена
(Протон (Саратов))

3

10

4

3

3

37

0.0146

0.0146

8

5

0

20

0.0167

0.0167

36

6

5

102

2.451

2.451

0.48607

2

Клегер Ана
(Локомотив (Калининградская обл.))

3

10

5

5

2

34

0.0146

0.0146

7

5

0

24

0.0146

0.0146

40

6

10

92

2.6087

2.6087

0.48425

3

Бярда Богумила
(Тулица (Тульская обл.))

3

8

2

5

3

21

0.0127

0.0127

3

3

0

9

0.0076

0.0076

26

1

8

56

2.4286

2.4286

0.4565

4

Якушина Оксана
(Заречье-Одинцово (Московская обл.))

3

10

2

3

3

35

0.0117

0.0117

5

2

0

7

0.0117

0.0117

25

8

3

66

2.1212

2.1212

0.45149

5

Гончарова Наталия
(Динамо (Москва))

4

15

3

3

2

59

0.0078

0.0078

10

5

1

23

0.0156

0.0156

82

9

6

174

5.7759

5.7759

0.43796

6

Парубец Ксения
(Уралочка-НТМК (Свердловская обл.))

5

15

3

8

5

57

0.0106

0.0106

4

10

0

16

0.0053

0.0053

70

20

11

184

3.1793

3.1793

0.43788

7

Дрпа Марта
(Енисей (Красноярск))

3

8

2

2

3

27

0.0111

0.0111

1

6

0

10

0.0022

0.0022

31

4

7

87

1.8391

1.8391

0.43201

8

Ковальчук Оксана
(Минчанка (Минск))

1

3

0

1

2

8

0.012

0.012

1

1

0

2

0.006

0.006

1

1

3

11

-0.8182

-0.8182

0.43194

9

Сотникова Анна
(Липецк (Липецкая обл.))

3

13

2

2

2

35

0.0072

0.0072

7

3

1

18

0.0126

0.0126

34

5

9

104

2.5

2.5

0.41249

10

Столярова Дарья
(Динамо (Москва))

5

15

3

4

2

32

0.0061

0.0061

2

2

0

5

0.0024

0.0024

17

2

6

56

2.4107

2.4107

0.38994

11

Азанова Анастасия
(Енисей (Красноярск))

2

7

1

3

1

16

0.0062

0.0062

1

4

0

9

0.0031

0.0031

17

2

5

46

1.5217

1.5217

0.38708

12

Думчева Наталья
(Минчанка (Минск))

3

8

0

10

2

24

0.0046

0.0046

3

9

0

15

0.0069

0.0069

18

5

2

48

1.8333

1.8333

0.37885

13

Халецкая Мария
(Динамо (Краснодар))

3

10

1

0

1

28

0.0045

0.0045

3

4

1

12

0.0067

0.0067

31

10

13

112

0.7143

0.7143

0.37245

14

Смирнова Ксения
(Уралочка-НТМК (Свердловская обл.))

5

16

0

4

2

38

0.0027

0.0027

6

3

0

11

0.0081

0.0081

48

13

13

139

2.5324

2.5324

0.36689

15

Гарелик Анастасия
(Ленинградка (Санкт-Петербург))

3

11

1

1

0

32

0.002

0.002

3

4

0

10

0.0059

0.0059

48

8

11

107

2.9813

2.9813

0.36002

16

Аникеева Виктория
(Динамо-Метар (Челябинск))

3

6

0

1

1

7

0.0026

0.0026

0

1

0

1

0

0

7

4

3

27

0

0

0.34464

17

Каськова Жанна
(Тулица (Тульская обл.))

3

7

0

1

0

9

0

0

1

1

0

2

0.0025

0.0025

12

7

3

35

0.4

0.4

0.32762

18

Стальная Анастасия
(Локомотив (Калининградская обл.))

1

1

0

0

0

1

0

0

0

0

0

0

0

0

2

0

0

3

0.6667

0.6667

0.32601

19

Котикова Анна
(Динамо-Казань (Казань))

2

6

0

1

0

9

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0.32305

20

Петрунина Анастасия
(Липецк (Липецкая обл.))

3

3

0

0

0

2

0

0

0

0

0

0

0

0

5

2

0

7

1.2857

1.2857

0.32305

21

Федоровцева Арина
(Динамо-Казань (Казань))

1

1

0

0

0

1

0

0

0

0

0

0

0

0

0

0

0

1

0

0

0.32305

Ranking Calculation

Opposite

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:  3

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