Baltic Women`s Volleyball League 23/24

Baltic Women`s Volleyball League 23/24

Baltic Women`s Volleyball League 23/24 Best players SETTER
PlayerPlayed
  MatchesSetsSetter Efficiency
('#' - '/' - '=') / TOT

1

Leveika Ginta
(VK Jelgava)

2

6

53.33%
(9 - 0 - 1) / 15

2

Šaparauskaitė Agnė
(Jonavos "Aušrinė-JSC")

1

2

42.86%
(4 - 1 - 0) / 7

3

Starkopf Ann
(TÜ/Bigbank)

15

31

37.66%
(37 - 6 - 2) / 77

4

Kibbermann Karolina
(TalTech)

19

66

35.39%
(231 - 29 - 30) / 486

5

Dolotova Elvita
(RSU / MSĢ )

9

37

32.75%
(104 - 12 - 17) / 229

6

Reknere Elza
(RVS/LU)

16

57

29.36%
(169 - 29 - 34) / 361

7

Sosinovica Arina
(RVS/LU)

14

42

27.49%
(88 - 14 - 16) / 211

8

Vilem Liis-Marii
(Rae Spordikool)

13

42

26.00%
(22 - 7 - 2) / 50

9

Vavere Laura Kristine
(RSU / MSĢ )

18

64

25.65%
(167 - 28 - 41) / 382

10

Vahula Häli
(TÜ/Bigbank)

21

79

25.54%
(230 - 41 - 47) / 556

11

Põldma Anni
(Rae Spordikool)

17

66

24.87%
(163 - 35 - 32) / 386

12

Visočanska Sanda
(VK Jelgava)

15

54

24.31%
(176 - 36 - 43) / 399

13

Urbonaite Liepa
(Kaunas-VDU)

17

62

24.30%
(163 - 27 - 40) / 395

14

Auväärt Liis
(Audentes SG/NK)

14

27

23.81%
(19 - 5 - 4) / 42

15

Toom Roosi Brigita
(Audentes SG/NK)

17

65

23.58%
(211 - 52 - 43) / 492

16

Jirgena Grēta
(RSU / MSĢ )

3

4

23.53%
(8 - 2 - 2) / 17

17

Danilovaite Auguste
(Jonavos "Aušrinė-JSC")

14

42

23.08%
(113 - 20 - 27) / 286

18

Dimitrijeva Darja
(SuFA klubs/DU )

7

22

22.22%
(55 - 11 - 14) / 135

19

Sebežiova Akvile
(Jonavos "Aušrinė-JSC")

5

18

20.73%
(59 - 15 - 10) / 164

20

Zui Kateryna
(Kaunas-VDU)

15

30

17.11%
(54 - 11 - 17) / 152

21

Pravdinskaitė Karolina
(Kaunas-VDU)

1

4

16.67%
(6 - 0 - 3) / 18

22

Petrova Ieva
(SuFA klubs/DU )

6

25

13.14%
(43 - 13 - 12) / 137

23

Bērziņa Jana
(VK Jelgava)

9

24

11.58%
(33 - 11 - 11) / 95

24

Loos Helena
(TalTech)

5

11

3.33%
(8 - 3 - 4) / 30

25

Stravinskaitė Kamilė
(Jonavos "Aušrinė-JSC")

7

15

3.28%
(17 - 4 - 11) / 61

26

Strelkova Aļona
(SuFA klubs/DU )

7

22

1.05%
(20 - 8 - 11) / 95

Ranking Calculation

Setter

This ranking is based on Setter data for each player with a minimum of 1 played matches and at least 10% of all sets of the team.