Optibet Baltic Women`s Volleyball League 22/23

Optibet Baltic Women`s Volleyball League 22/23

Optibet Baltic Women`s Volleyball League 22/23 Best players OPPOSITE
PlayerPlayedServeServeBlockBlockAttackAttackRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.Index

1

Kvedaraitė Danielė
(Jonavos ,,Aušrinė'' )

22

77

34

24

5

241

0.0113

0.0113

38

26

1

94

0.011

0.011

281

42

27

664

24.5843

24.5843

0.55923

2

Dambrehte Megija
(Riga Volleyball School/LU)

23

79

32

44

4

160

0.0092

0.0092

25

33

1

89

0.0064

0.0064

252

50

40

604

21.1887

21.1887

0.51684

3

Suvi Ingris
(TÜ/Bigbank)

19

70

28

37

13

234

0.0134

0.0134

24

12

0

54

0.0079

0.0079

180

59

25

594

11.3131

11.3131

0.50895

4

Ēbere Līva
(Riga Volleyball School/LU)

21

68

22

20

10

232

0.009

0.009

13

10

0

47

0.0036

0.0036

150

41

14

426

15.1643

15.1643

0.48085

5

Sola Līva
(VK Jelgava)

20

79

18

23

5

241

0.0068

0.0068

40

40

1

150

0.0118

0.0118

229

72

31

582

17.1031

17.1031

0.48035

6

Vares Carmel
(Audentes SG/NK)

16

62

21

30

8

224

0.0106

0.0106

25

3

0

36

0.0092

0.0092

232

92

53

621

8.686

8.686

0.47102

7

Paukštytė Martyna
(Kaunas-VDU)

21

66

13

20

5

197

0.0055

0.0055

13

25

1

57

0.004

0.004

208

51

21

537

16.7151

16.7151

0.45655

8

Čelnova Anete
(Riga Volleyball School/LU)

1

2

1

0

1

3

0.014

0.014

0

0

0

0

0

0

0

0

0

0

0

0

0.44731

9

Struka Katrīna
(RSU/MSG)

20

66

14

25

5

172

0.0058

0.0058

28

32

0

99

0.0086

0.0086

131

46

17

399

11.2481

11.2481

0.43808

10

Haring Haide
(Barrus/Võru VK)

17

63

17

20

4

184

0.0079

0.0079

10

17

0

58

0.0038

0.0038

99

27

21

400

8.0325

8.0325

0.43516

11

Lember Dzintra
(TalTech/Tradehouse)

19

51

16

22

2

129

0.0063

0.0063

15

14

1

50

0.0052

0.0052

103

39

24

274

7.4453

7.4453

0.41925

12

Krustkalne Katrina Paula
(Riga Volleyball School/LU)

23

69

16

35

8

156

0.0061

0.0061

3

9

0

24

0.0008

0.0008

78

34

16

228

8.4737

8.4737

0.41739

13

Boliņa Darja
(SUFA klubs/DU)

10

39

8

6

2

126

0.0061

0.0061

13

29

0

74

0.008

0.008

97

32

19

349

5.1404

5.1404

0.40986

14

Savukynaitė Ida Marija
(Kaunas-VDU)

6

18

5

12

0

49

0.0051

0.0051

7

4

0

17

0.0071

0.0071

39

9

8

131

3.0229

3.0229

0.38918

15

Dubovska Aleksandra
(Riga Volleyball School/LU)

1

3

0

0

1

4

0.007

0.007

0

0

0

0

0

0

0

0

0

0

0

0

0.38328

16

Regute Amanda
(VK Jelgava)

9

29

4

13

5

85

0.0061

0.0061

6

1

0

13

0.004

0.004

42

23

17

134

0.4328

0.4328

0.3819

17

Laurecka Dagmara Helena
(SUFA klubs/DU)

15

48

8

14

4

78

0.0047

0.0047

3

18

0

51

0.0012

0.0012

42

24

8

175

2.7429

2.7429

0.37689

18

Talvar Anu
(TalTech/Tradehouse)

16

40

9

2

4

78

0.0053

0.0053

5

6

0

16

0.002

0.002

3

2

0

11

3.6364

3.6364

0.37028

19

Lauska Laine
(RSU/MSG)

6

9

5

3

0

24

0.005

0.005

2

4

0

6

0.002

0.002

2

2

3

18

-1.5

-1.5

0.36784

20

Kuusk Ave
(TÜ/Bigbank)

4

9

3

4

0

29

0.0047

0.0047

0

0

0

2

0

0

21

10

4

79

0.7975

0.7975

0.36659

21

Kaur Laura
(Barrus/Võru VK)

14

43

5

10

3

77

0.0038

0.0038

6

12

0

37

0.0028

0.0028

23

13

4

102

2.5294

2.5294

0.35811

22

Sabatauskaitė Livija
(Jonavos ,,Aušrinė'' )

12

24

2

6

0

26

0.001

0.001

3

2

0

8

0.0016

0.0016

14

8

0

46

3.1304

3.1304

0.33343

23

Ketlere Katrina
(RSU/MSG)

11

22

2

6

0

25

0.0011

0.0011

1

8

0

16

0.0006

0.0006

13

7

5

52

0.4231

0.4231

0.33287

24

PETRAUSKAITĖ Raminta
(Jonavos ,,Aušrinė'' )

1

1

0

0

0

1

0

0

0

0

0

0

0

0

0

0

0

1

0

0

0.32305

25

Loos Lisette
(TalTech/Tradehouse)

1

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

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