Nacionālā Volejbola līga 2018/2019 (siev.)

NVL Pamatturnīrs

Nacionālā Volejbola līga 2018/2019 (siev.) Best players MIDDLE BLOCKER
PlayerPlayedServeServeBlockBlockAttackAttackRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.Index

1

Strazdiņa Monta
(RSU/MVS)

16

64

35

18

12

218

0,0169

0,0169

36

31

1

104

0,0129

0,0129

69

25

5

173

14,4277

14,4277

0,58892

2

Urbāne Monta
(Mārupes SC)

16

57

15

22

4

168

0,0075

0,0075

48

23

0

159

0,0189

0,0189

166

36

15

349

18,7822

18,7822

0,55334

3

Jurdža Annija
(MSĢ/ZELTALEJA)

10

43

27

10

2

138

0,0159

0,0159

9

8

0

28

0,0049

0,0049

105

31

12

339

7,8643

7,8643

0,51579

4

Sidorova Agija
(Mārupes SC)

16

57

32

23

8

230

0,0158

0,0158

11

16

0

88

0,0043

0,0043

138

54

24

483

7,0807

7,0807

0,50873

5

Miķelsone Gundega
(VK Gulbene)

6

19

8

6

7

60

0,0155

0,0155

4

4

0

15

0,0041

0,0041

12

11

2

40

-0,475

-0,475

0,4907

6

Brīvule Menarda
(MSĢ/ZELTALEJA)

5

21

15

1

0

59

0,0172

0,0172

1

1

0

2

0,0011

0,0011

11

4

0

97

1,5155

1,5155

0,4901

7

Pētersone Alise
(MSĢ/ZELTALEJA)

12

50

21

18

7

191

0,0129

0,0129

8

11

0

33

0,0037

0,0037

113

37

12

367

8,7193

8,7193

0,48223

8

Šverna Antra
(VK Gulbene)

11

41

12

20

6

112

0,0101

0,0101

6

11

0

29

0,0034

0,0034

60

23

5

136

9,6471

9,6471

0,45666

9

Krūmiņa Ineta
(Mārupes SC)

15

53

7

17

1

161

0,0034

0,0034

21

29

0

96

0,0089

0,0089

50

22

3

137

9,6715

9,6715

0,43418

10

Melne Agnese
(RSU/MVS)

12

46

13

10

3

172

0,0077

0,0077

8

14

0

64

0,0038

0,0038

27

13

2

110

5,0182

5,0182

0,43006

11

Toča Diāna
(MSĢ/ZELTALEJA)

10

41

5

5

3

101

0,0045

0,0045

15

14

0

35

0,0084

0,0084

24

14

5

108

1,8981

1,8981

0,42559

12

Melle Diāna
(VK Gulbene)

11

33

8

3

4

70

0,0071

0,0071

6

2

0

11

0,0036

0,0036

31

22

3

89

2,2247

2,2247

0,41815

13

Lece Alise
(SK Babīte)

3

14

3

1

0

39

0,006

0,006

1

6

0

10

0,002

0,002

12

5

2

98

0,7143

0,7143

0,39522

14

Balcere Aiva
(Mārupes SC)

10

22

3

4

1

52

0,0025

0,0025

8

0

0

15

0,005

0,005

9

4

1

28

3,1429

3,1429

0,38857

15

Stelpe Arta
(SK Babīte)

7

26

3

8

0

56

0,0029

0,0029

3

6

0

21

0,0029

0,0029

17

8

0

86

2,7209

2,7209

0,37893

16

Deņisova Dana
(MSĢ/ZELTALEJA)

2

3

0

0

0

3

0

0

1

1

0

2

0,0027

0,0027

0

0

0

0

0

0

0,34821

17

Ceplīte Jeļena
(SK Babīte)

1

2

0

0

0

2

0

0

0

0

0

0

0

0

0

0

0

20

0

0

0,33246

18

Nipāne Marta
(VK Gulbene)

1

1

0

1

0

2

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0,33246

19

Vilcāne Agnese
(VK Gulbene)

1

3

0

1

0

8

0

0

0

0

0

0

0

0

0

2

0

8

-0,75

-0,75

0,33118

20

Šreibere Sanita
(Mārupes SC)

2

3

0

0

0

1

0

0

0

0

0

2

0

0

0

1

1

4

-1,5

-1,5

0,32989

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

  • #NOME?

Attack

  • # point

  • / blocked

  • #NOME?

Block

  • # point

  • / Net touch

  • #NOME?

Filters applied

  • Minimum number of Matches played:  1