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

1

Kõrvel Merili
(Rae Spordikool/VIASTON)

1

3

4

2

1

16

0.0278

0.0278

0

0

0

1

0

0

12

3

1

24

1

1

0.58166

2

Struka Katrīna
(RSU/MSG)

20

75

46

60

11

277

0.017

0.017

28

27

0

80

0.0083

0.0083

281

81

38

799

15.2065

15.2065

0.56248

3

Cicetti Caterina
(TalTech/Macta Beauty)

19

81

24

43

18

275

0.012

0.012

40

47

2

130

0.0115

0.0115

271

73

47

701

17.4479

17.4479

0.53132

4

Čelnova Anete
(Riga Volleyball School/LU)

19

70

26

15

7

195

0.0103

0.0103

21

15

0

54

0.0066

0.0066

234

77

39

671

12.31

12.31

0.4829

5

Paukštytė Martyna
(Kaunas-VDU)

16

60

20

13

4

198

0.0085

0.0085

15

21

0

52

0.0053

0.0053

215

59

39

551

12.7405

12.7405

0.46683

6

Kuusk Ave
(TÜ/Bigbank)

16

56

15

20

13

168

0.0109

0.0109

17

22

1

66

0.0066

0.0066

156

56

35

457

7.965

7.965

0.46622

7

Suvi Ingris
(TÜ/Bigbank)

15

47

14

18

4

97

0.0075

0.0075

8

9

0

26

0.0034

0.0034

60

15

13

197

7.6345

7.6345

0.42961

8

Vahula Heidi
(Audentes SG/NK)

16

52

12

21

7

139

0.0081

0.0081

5

7

0

30

0.0021

0.0021

120

62

28

405

3.8519

3.8519

0.41443

9

Krustkalne Katrina Paula
(Riga Volleyball School/LU)

10

28

8

15

3

77

0.007

0.007

7

5

0

20

0.0045

0.0045

65

23

11

191

4.5445

4.5445

0.41063

10

Mandel Karmen
(Audentes SG/NK)

14

36

6

8

4

55

0.0048

0.0048

4

3

1

10

0.0019

0.0019

38

19

4

113

4.7788

4.7788

0.3892

11

Ketlere Katrina
(RSU/MSG)

5

10

4

4

1

33

0.0059

0.0059

2

3

0

12

0.0024

0.0024

13

3

4

49

1.2245

1.2245

0.38214

12

Savukynaitė Ida Marija
(Kaunas-VDU)

13

28

6

8

3

60

0.004

0.004

11

6

0

18

0.0049

0.0049

37

20

4

115

3.1652

3.1652

0.37729

13

Mišeikyte Viktorija
(Jonavos ,,Aušrinė'' )

18

65

9

18

5

185

0.005

0.005

19

28

1

95

0.0068

0.0068

53

14

7

131

15.8779

15.8779

0.37383

14

Zariņa Katrīna Laura
(Riga Volleyball School/LU)

9

20

0

5

4

39

0.0026

0.0026

1

0

0

1

0.0006

0.0006

1

2

1

6

-6.6667

-6.6667

0.34557

15

Runce Bonija
(RSU/MSG)

6

9

1

2

2

14

0.0029

0.0029

0

0

0

0

0

0

6

6

3

27

-1

-1

0.34331

16

Balode Madara
(VK Jelgava)

3

4

0

1

0

3

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0.32305

17

Gontsarova Anna
(Rae Spordikool/VIASTON)

1

2

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0.32305

18

Tirvaite Austeja
(Jonavos ,,Aušrinė'' )

2

2

0

2

0

3

0

0

0

1

0

1

0

0

1

0

0

4

0.5

0.5

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