Optibet Latvijas Čempionāts sievietēm 22/23

Optibet Latvijas Čempionāts sievietēm 22/23

Optibet Latvijas Čempionāts sievietēm 22/23 Best players OPPOSITE
PlayerPlayedServeServeBlockBlockAttackAttackRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.Index

1

Mičule Anda
(VK Gulbene)

10

35

25

26

3

139

0,0184

0,0184

2

9

0

33

0,0013

0,0013

55

31

8

186

3,0108

3,0108

0,50553

2

Sola Līva
(Jelgava)

13

43

16

13

4

138

0,0107

0,0107

17

27

0

85

0,0091

0,0091

146

27

16

323

13,7121

13,7121

0,49699

3

Dambrehte Megija
(Rīgas Volejbola skola/LU)

13

30

18

27

2

87

0,0111

0,0111

11

18

0

39

0,0061

0,0061

138

28

7

283

10,9187

10,9187

0,48262

4

Regute Amanda
(Jelgava)

10

27

15

18

4

97

0,0131

0,0131

3

4

0

22

0,0021

0,0021

50

17

14

125

4,104

4,104

0,4623

5

Krustkalne Katrīna Paula
(Rīgas Volejbola skola/LU)

13

33

11

22

6

95

0,0094

0,0094

9

12

0

28

0,005

0,005

75

19

6

169

9,7633

9,7633

0,45977

6

Sauša Inga
(SUFA/DU)

14

52

4

24

5

105

0,0038

0,0038

37

54

0

164

0,0156

0,0156

69

8

8

168

16,4048

16,4048

0,45356

7

Zaķe Īvaise
(LU / RVS)

12

40

16

14

6

109

0,0128

0,0128

9

26

0

51

0,0052

0,0052

85

45

26

328

1,7073

1,7073

0,45126

8

Struka Katrīna
(RSU/MSĢ)

14

42

14

14

4

82

0,0083

0,0083

13

20

0

45

0,006

0,006

95

25

12

252

9,6667

9,6667

0,45

9

Čelnova Anete
(RVS juniores)

16

56

20

9

5

162

0,0104

0,0104

20

25

1

69

0,0083

0,0083

124

50

31

482

4,9959

4,9959

0,44913

10

Sekijevska Kristīne
(SUFA/DU)

12

42

13

25

11

137

0,0124

0,0124

7

7

0

32

0,0036

0,0036

45

24

15

188

1,3404

1,3404

0,44404

11

Bolina Darja
(SUFA/DU)

14

53

7

8

7

130

0,0062

0,0062

28

47

0

124

0,0123

0,0123

170

44

23

505

10,8099

10,8099

0,44359

12

Ēbere Līva
(Rīgas Volejbola skola/LU)

12

26

11

10

3

106

0,0084

0,0084

4

6

0

17

0,0024

0,0024

71

23

11

172

5,593

5,593

0,42644

13

Iskorostenska Kristina
(RSU/MSĢ)

10

27

12

12

1

65

0,0088

0,0088

0

2

0

3

0

0

11

4

2

38

3,5526

3,5526

0,39987

14

Ķetlere Katrīna
(RSU/MSĢ)

10

19

7

4

2

50

0,0063

0,0063

6

9

0

23

0,0042

0,0042

31

11

4

84

3,619

3,619

0,39927

15

Laurecka Dagmāra Helēna
(SUFA/DU)

12

39

9

8

2

83

0,0055

0,0055

7

21

0

52

0,0035

0,0035

45

16

10

176

4,2102

4,2102

0,39389

16

Lauska Laine
(RSU/MSĢ)

8

13

5

3

2

45

0,006

0,006

1

4

0

11

0,0009

0,0009

28

8

7

77

2,1948

2,1948

0,3862

17

Arnicāne Dace
(Mārupes SC)

13

45

9

4

3

111

0,0057

0,0057

3

12

0

26

0,0014

0,0014

21

7

4

127

3,5433

3,5433

0,37338

18

Putene Rūta
(RVS juniores)

12

29

8

3

2

38

0,0057

0,0057

1

5

0

8

0,0006

0,0006

16

9

3

73

1,589

1,589

0,37275

19

Sivaka Arina
(LU / RVS)

11

32

5

8

3

80

0,0051

0,0051

4

11

0

28

0,0025

0,0025

21

16

5

123

0

0

0,36904

20

Jukse Anete
(VK Gulbene)

12

31

4

4

1

39

0,0027

0,0027

4

8

0

18

0,0022

0,0022

26

12

2

93

4

4

0,36723

21

Dimitrijeva Darja
(SUFA/DU)

11

32

5

13

2

58

0,0042

0,0042

6

22

0

59

0,0036

0,0036

20

13

4

85

1,1294

1,1294

0,36258

22

Briede Alise
(LU / RVS)

4

5

0

0

0

4

0

0

0

0

0

1

0

0

0

3

0

8

-1,875

-1,875

0,32305

23

Zariņa Katrīna Laura
(RVS juniores)

2

2

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0,32305

24

Bužinska Krista
(SUFA/DU)

1

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

2

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

  • #NOME?

Attack

  • # point

  • / blocked

  • #NOME?

Block

  • # point

  • / Net touch

  • #NOME?

Filters applied

  • Minimum number of Matches played:  1