OPTIBET Baltic Women`s Volleyball League 24/25

Baltic Women`s Volleyball League 24/25

OPTIBET Baltic Women`s Volleyball League 24/25 Best players WING SPIKER
PlayerPlayedServeServeBlockBlockAttackAttackReceptionReceptionRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.#=/TotRc ind.Rc ind.Index

1

Putene Rūta
(Riga Volleyball School/LU)

5

19

13

10

7

93

0.0237

0.0237

4

3

0

13

0.0047

0.0047

51

18

9

152

3

3

14

3

4

86

0.2558

0.2558

0.24208

2

Šidlauskaitė Miglė
(Jonavos ,,Aušrinė'' )

4

14

7

5

1

54

0.0137

0.0137

5

1

0

12

0.0085

0.0085

42

5

4

124

3.7258

3.7258

14

14

5

106

0.2547

0.2547

0.21663

3

Lass Marily
(TalTech/Macta Beauty)

3

14

6

2

2

61

0.0137

0.0137

5

3

2

18

0.0085

0.0085

47

12

7

136

2.8824

2.8824

22

4

2

72

0.4167

0.4167

0.21338

4

Arak Anette
(Audentes SG/NK)

4

14

4

5

7

49

0.0183

0.0183

2

3

0

7

0.0033

0.0033

32

14

9

113

1.115

1.115

9

7

3

95

0.4526

0.4526

0.21028

5

Lember Nora
(TÜ/Bigbank)

2

7

1

3

3

25

0.0129

0.0129

2

1

0

5

0.0064

0.0064

30

4

0

50

3.64

3.64

9

2

3

33

0.3636

0.3636

0.20854

6

Põldma Liisa
(Audentes SG/NK)

4

13

1

1

5

36

0.01

0.01

7

4

0

17

0.0117

0.0117

28

12

5

76

1.8816

1.8816

1

3

1

35

0.5143

0.5143

0.20209

7

Nečiporuka Paula
(RSU/MSG)

1

2

2

0

0

10

0.0174

0.0174

0

0

0

1

0

0

7

1

0

10

1.2

1.2

4

0

0

6

1

1

0.20103

8

Kramena Kristine
(RSU/MSG)

1

2

1

0

0

4

0.0087

0.0087

1

0

0

2

0.0087

0.0087

3

0

0

4

1.5

1.5

2

0

0

3

0.6667

0.6667

0.18345

9

Makauskaitė Eglė
(Kaunas-VDU)

3

11

3

1

3

39

0.0115

0.0115

0

2

0

3

0

0

23

6

7

68

1.6176

1.6176

13

3

0

69

0.4638

0.4638

0.18162

10

Šlitere Šarlote
(Riga Volleyball School/LU)

5

18

3

6

4

53

0.0083

0.0083

1

3

0

9

0.0012

0.0012

43

14

6

112

3.6964

3.6964

18

13

2

122

0.1967

0.1967

0.18099

11

Raitis Milja
(TalTech/Macta Beauty)

3

14

2

7

1

30

0.0051

0.0051

2

6

0

12

0.0034

0.0034

51

6

9

105

4.8

4.8

12

8

4

77

0.1169

0.1169

0.17961

12

Lukas Keira Liina
(Audentes SG/NK)

1

2

1

2

0

6

0.0076

0.0076

1

0

0

1

0.0076

0.0076

4

1

3

17

0

0

3

2

1

15

0.2

0.2

0.17797

13

Barkauskaitė Emilija
(Jonavos ,,Aušrinė'' )

4

14

2

5

3

47

0.0085

0.0085

0

5

0

8

0

0

37

16

3

107

2.3551

2.3551

10

11

5

67

0.1791

0.1791

0.1742

14

Kandrotaite Kamile
(Jonavos ,,Aušrinė'' )

4

9

4

1

1

29

0.0085

0.0085

2

5

0

7

0.0034

0.0034

16

10

4

60

0.3

0.3

0

1

0

2

0

0

0.17308

15

Maiste Laura Liisa
(TÜ/Bigbank)

2

5

1

2

1

13

0.0064

0.0064

0

2

0

2

0

0

10

1

0

22

2.0455

2.0455

2

1

0

15

0.3333

0.3333

0.16692

16

Treija Ruta
(VK Jelgava)

2

6

2

1

0

16

0.0081

0.0081

0

2

0

4

0

0

8

6

3

34

-0.1765

-0.1765

4

2

0

20

0.4

0.4

0.16408

17

Bidzāne Enija
(VK Jelgava)

2

6

1

4

0

14

0.004

0.004

1

1

0

4

0.004

0.004

11

4

5

29

0.4138

0.4138

5

2

1

13

0.3077

0.3077

0.16113

18

Rauluševičiūtė Vilūnė
(Kaunas-VDU)

3

11

0

2

0

30

0

0

3

2

1

8

0.0058

0.0058

24

6

6

76

1.7368

1.7368

10

4

4

58

0.2241

0.2241

0.15775

19

JAKUTAVIČIENĖ Iryna
(Jonavos ,,Aušrinė'' )

4

10

1

2

0

19

0.0017

0.0017

2

6

0

11

0.0034

0.0034

16

1

6

65

1.3846

1.3846

0

1

0

4

0

0

0.15651

20

Kazāka Karlīna
(VK Jelgava)

2

6

1

3

0

8

0.004

0.004

0

0

0

1

0

0

5

1

0

19

1.2632

1.2632

1

3

1

15

0.2

0.2

0.15636

21

Huik Annabel
(TÜ/Bigbank)

2

7

1

4

0

17

0.0032

0.0032

0

1

0

2

0

0

10

3

0

29

1.6897

1.6897

0

0

1

13

0.3846

0.3846

0.15544

22

Hunt Raili
(TalTech/Macta Beauty)

3

7

1

2

1

10

0.0034

0.0034

1

0

0

2

0.0017

0.0017

4

1

3

18

0

0

2

1

0

11

0.0909

0.0909

0.15345

23

Ulumbelashvili Gvantsa
(Kaunas-VDU)

3

10

1

1

0

19

0.0019

0.0019

0

2

1

4

0

0

12

5

2

31

1.6129

1.6129

2

4

3

30

0.2667

0.2667

0.15211

24

Kiaušaitė Kamilė
(Kaunas-VDU)

3

4

1

1

1

7

0.0038

0.0038

0

0

0

1

0

0

0

0

0

4

0

0

2

0

0

5

0.6

0.6

0.1515

25

Kruklite Renate Kate
(Riga Volleyball School/LU)

4

8

1

1

1

14

0.0028

0.0028

0

1

0

1

0

0

7

1

1

22

1.8182

1.8182

1

2

0

12

0.1667

0.1667

0.14871

26

Palk Freia Liisa
(Audentes SG/NK)

4

11

1

2

0

16

0.0017

0.0017

1

2

0

4

0.0017

0.0017

8

4

2

30

0.7333

0.7333

2

5

2

31

0.1613

0.1613

0.14849

27

Rahuoja Ragne
(TalTech/Macta Beauty)

3

8

1

1

0

14

0.0017

0.0017

0

0

0

0

0

0

0

0

0

1

0

0

0

0

0

4

0.25

0.25

0.14562

28

Ankevica Agija
(RSU/MSG)

1

2

0

0

0

3

0

0

0

0

0

0

0

0

4

1

0

7

0.8571

0.8571

0

0

0

1

0

0

0.14378

29

Ergle Amanda Nikola
(VK Jelgava)

2

4

0

0

0

6

0

0

0

1

0

2

0

0

4

1

1

10

0.8

0.8

2

2

1

17

0

0

0.14105

30

Kovala Anna
(RSU/MSG)

1

2

0

1

0

2

0

0

0

1

0

1

0

0

0

1

0

2

-1

-1

0

1

0

3

-0.3333

-0.3333

0.14105

31

Mestere Dārta
(VK Jelgava)

1

2

0

0

0

2

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0.14105

32

Juzenaite Monika
(Jonavos ,,Aušrinė'' )

4

5

0

0

0

5

0

0

0

0

0

0

0

0

1

2

0

8

-0.625

-0.625

0

3

0

9

0

0

0.14105

33

Vali Kadi-Lii
(Audentes SG/NK)

2

5

0

2

0

5

0

0

0

1

0

1

0

0

3

2

0

13

0.3846

0.3846

0

1

1

10

0

0

0.14105

Ranking Calculation

Wing-spiker

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)

  • Reception Index (Rc ind.): positive receptions minus negative receptions divided the total receptions (ranking is available only if the player has made at least three receptions 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 Receptions per set:  3

  • Minimum number of Spikes per set:  3

Serve

  • # serve ace

  • / half point

  • = serve error

Reception

  • # perfect

  • / half point

  • = error

Attack

  • # point

  • / blocked

  • = error

Block

  • # point

  • / Net touch

  • = hand out

Filters applied

  • Minimum number of Matches played:  1