Optibet Latvijas Čempionāts sievietēm 23/24

Optibet Latvijas Čempionāts sievietēm 23/24

Optibet Latvijas Čempionāts sievietēm 23/24 Best players OPPOSITE
PlayerPlayedServeServeBlockBlockAttackAttackRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.Index

1

Laurecka Dagmāra Helēna
(SUFAk/DU)

4

17

10

9

6

59

0,0219

0,0219

7

27

0

72

0,0096

0,0096

42

18

5

142

2,2746

2,2746

0,54483

2

Čelnova Anete
(Rīgas Volejbola skola/LU)

14

51

25

17

9

182

0,0153

0,0153

11

10

0

30

0,005

0,005

140

27

22

342

13,5702

13,5702

0,5344

3

Sola Līva
(Jelgava)

19

70

27

39

6

224

0,0107

0,0107

30

28

0

86

0,0097

0,0097

244

60

25

592

18,8007

18,8007

0,52316

4

Mindrika Elīna
(SUFAk/DU)

1

5

2

4

2

15

0,0183

0,0183

1

11

0

22

0,0046

0,0046

0

0

1

2

-2,5

-2,5

0,49407

5

Struka Katrīna
(RSU/MSĢ)

16

50

16

35

7

146

0,0089

0,0089

18

28

0

80

0,007

0,007

152

47

16

354

12,5706

12,5706

0,47178

6

Sivaka Arina
(LU / RVS)

19

68

24

28

9

194

0,0099

0,0099

5

16

0

48

0,0015

0,0015

91

27

10

334

10,994

10,994

0,4662

7

Iskorostenska Kristina
(RSU / MSĢ 2)

16

63

22

21

9

203

0,0118

0,0118

7

19

0

46

0,0027

0,0027

99

46

18

339

6,5044

6,5044

0,46253

8

Regute Amanda
(Jelgava)

1

3

2

7

0

9

0,015

0,015

0

0

0

0

0

0

0

0

0

0

0

0

0,45715

9

Balcere Aiva
(Mārupes SC)

16

57

17

16

8

179

0,0095

0,0095

27

32

0

111

0,0103

0,0103

60

17

11

278

6,5612

6,5612

0,45104

10

Sauša Inga
(SUFAk/DU)

17

65

10

30

5

191

0,0053

0,0053

26

47

0

152

0,0093

0,0093

181

38

27

580

13

13

0,44309

11

Ivanova Anastasija
(LU / RVS)

19

62

16

35

8

153

0,0074

0,0074

11

23

0

56

0,0034

0,0034

133

33

37

457

8,547

8,547

0,43252

12

Runce Bonija Beāte
(RSU / MSĢ 2)

13

32

14

18

1

107

0,0072

0,0072

6

12

0

27

0,0029

0,0029

55

19

8

143

6,2657

6,2657

0,41864

13

Krūklīte Renāte Kate
(Rīgas Volejbola skola/LU)

14

31

6

15

3

83

0,0041

0,0041

7

7

0

19

0,0032

0,0032

50

8

7

152

7,1382

7,1382

0,39498

14

Neimane Aleksandra
(LU / RVS)

16

47

17

28

2

118

0,007

0,007

5

26

0

78

0,0018

0,0018

27

10

8

86

4,9186

4,9186

0,38527

15

Zariņa Katrīna Laura
(Rīgas Volejbola skola/LU)

3

7

2

1

1

20

0,0065

0,0065

2

2

0

5

0,0043

0,0043

10

11

2

41

-0,5122

-0,5122

0,38178

16

Krustkalne Katrīna Paula
(Rīgas Volejbola skola/LU)

7

22

3

13

1

58

0,0032

0,0032

6

3

0

14

0,0049

0,0049

52

12

10

139

4,7482

4,7482

0,37819

17

Oša Estere
(RSU / MSĢ 2)

11

29

4

6

4

77

0,005

0,005

6

28

0

56

0,0037

0,0037

23

3

4

65

7,1385

7,1385

0,36987

18

Lauska Laine
(RSU / MSĢ 2)

18

52

10

18

2

111

0,0043

0,0043

10

29

0

68

0,0036

0,0036

71

48

21

293

0,3549

0,3549

0,36513

19

Kadžule Daniela
(LU / RVS)

9

18

5

5

2

38

0,0048

0,0048

1

0

0

1

0,0007

0,0007

8

9

2

49

-1,102

-1,102

0,36453

20

Skudra Luīze
(RSU / MSĢ 2)

14

32

10

8

0

61

0,0045

0,0045

1

12

0

27

0,0005

0,0005

28

26

9

134

-1,6716

-1,6716

0,3541

21

Arnicāne Dace
(Mārupes SC)

10

27

5

15

0

64

0,0031

0,0031

0

7

0

11

0

0

14

3

3

69

3,1304

3,1304

0,34932

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

  • #NOME?

Attack

  • # point

  • / blocked

  • #NOME?

Block

  • # point

  • / Net touch

  • #NOME?

Filters applied

  • Minimum number of Matches played:  1