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 MIDDLE BLOCKER
PlayerPlayedServeServeBlockBlockAttackAttackRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.Index

1

Moor Kristel
(Rae Spordikool/VIASTON)

3

9

9

3

5

48

0.0321

0.0321

3

0

0

3

0.0069

0.0069

14

3

2

39

2.0769

2.0769

0.65658

2

Kiviloo Liis
(Rae Spordikool/VIASTON)

6

23

10

3

8

79

0.0183

0.0183

14

4

0

23

0.0143

0.0143

64

7

10

119

9.084

9.084

0.59998

3

Kasperavičiūtė Gabija
(Kaunas-VDU)

4

16

6

4

2

50

0.0108

0.0108

15

8

1

40

0.0203

0.0203

26

8

1

60

4.5333

4.5333

0.56474

4

Kandimaa Lill
(TÜ/Bigbank)

1

5

1

4

3

20

0.0195

0.0195

1

1

0

2

0.0049

0.0049

3

2

1

7

0

0

0.5322

5

Sola Līva
(Riga Volleyball School/LU)

8

27

9

9

6

85

0.0113

0.0113

16

27

1

67

0.0121

0.0121

24

4

1

53

9.6792

9.6792

0.52547

6

Rozīte Simona
(VK Jelgava)

5

21

5

11

5

72

0.0112

0.0112

11

10

0

44

0.0123

0.0123

32

6

3

74

6.527

6.527

0.51943

7

Tugedam Karmen
(Audentes SG/NK)

7

24

10

17

3

68

0.0126

0.0126

12

9

0

33

0.0116

0.0116

18

8

4

64

2.25

2.25

0.51932

8

Kask Mirjam Karoliine Kask
(TalTech/Macta Beauty)

8

37

7

15

2

113

0.0058

0.0058

29

27

0

83

0.0186

0.0186

47

8

8

120

9.5583

9.5583

0.51835

9

Struka Karmena
(RSU/MSG)

5

18

7

7

1

49

0.0107

0.0107

9

6

0

30

0.012

0.012

52

6

5

90

8.2

8.2

0.51648

10

Talvar Anu
(TalTech/Macta Beauty)

8

37

12

15

7

147

0.0122

0.0122

13

34

1

81

0.0083

0.0083

20

4

2

48

10.7917

10.7917

0.51034

11

Urbāne Monta
(VK Jelgava)

4

15

5

4

1

35

0.0095

0.0095

9

9

0

36

0.0143

0.0143

17

6

2

52

2.5962

2.5962

0.50979

12

Arak Mari
(TÜ/Bigbank)

2

7

1

3

2

28

0.0096

0.0096

4

3

0

14

0.0129

0.0129

5

2

0

13

1.6154

1.6154

0.49989

13

Valionytė Vaiva
(Kaunas-VDU)

5

15

6

4

4

66

0.0115

0.0115

4

8

0

18

0.0046

0.0046

17

2

1

32

6.5625

6.5625

0.47176

14

Ivanova Anželika
(RSU/MSG)

4

8

2

3

3

36

0.008

0.008

5

2

0

14

0.008

0.008

6

4

1

19

0.4211

0.4211

0.45135

15

Soodla Heleri
(Audentes SG/NK)

7

24

2

6

4

60

0.0055

0.0055

10

7

0

31

0.0091

0.0091

15

6

0

39

5.5385

5.5385

0.44564

16

Piantkovska Yana
(Jonavos ,,Aušrinė'' )

6

20

4

2

0

57

0.0047

0.0047

8

13

0

27

0.0094

0.0094

20

9

3

45

3.5556

3.5556

0.4373

17

Juršāne-Piņķe Alise
(RSU/MSG)

5

10

4

3

1

27

0.0067

0.0067

5

4

0

19

0.0067

0.0067

11

3

3

25

2

2

0.4338

18

Liepa Samanta
(Riga Volleyball School/LU)

7

21

10

14

2

53

0.0101

0.0101

2

9

0

19

0.0017

0.0017

10

1

1

20

8.4

8.4

0.42751

19

Sild Kristel
(TÜ/Bigbank)

4

11

2

4

0

27

0.0032

0.0032

4

2

0

8

0.0064

0.0064

8

0

1

20

3.85

3.85

0.40513

20

Mitiakina Simona
(Riga Volleyball School/LU)

7

20

4

10

1

37

0.0042

0.0042

4

7

1

18

0.0034

0.0034

7

1

0

13

9.2308

9.2308

0.38736

21

Galubaitė Roberta
(Kaunas-VDU)

5

13

1

1

1

36

0.0023

0.0023

2

3

0

8

0.0023

0.0023

18

2

1

38

5.1316

5.1316

0.37418

22

Stamm Kertu
(Audentes SG/NK)

6

11

1

6

0

23

0.0011

0.0011

4

8

0

14

0.0043

0.0043

6

2

2

22

1

1

0.36841

23

Maļina Anabella
(Riga Volleyball School/LU)

7

10

0

5

0

11

0

0

2

3

0

5

0.0018

0.0018

4

4

1

23

-0.4348

-0.4348

0.3424

24

Kačinaitė Neringa
(Kaunas-VDU)

1

2

0

1

0

2

0

0

0

0

0

1

0

0

3

1

0

5

0.8

0.8

0.33383

25

Gintere Marta
(Riga Volleyball School/LU)

1

2

0

0

0

2

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0.33246

26

Brivule Liva
(VK Jelgava)

1

1

0

0

0

0

0

0

0

0

0

0

0

0

0

1

0

2

-0.5

-0.5

0.3316

27

Bukovska Adriana
(VK Jelgava)

2

2

0

1

0

3

0

0

0

1

0

2

0

0

0

1

0

4

-0.5

-0.5

0.3316

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

  • = serve error

Attack

  • # point

  • / blocked

  • = error

Block

  • # point

  • / Net touch

  • = hand out

Filters applied

  • Minimum number of Matches played:  1