Baltic Women`s Volleyball League 2019-2020

Baltic Women`s Volleyball League 2019-2020

Baltic Women`s Volleyball League 2019-2020 Best players MIDDLE BLOCKER
PlayerPlayedServeServeBlockBlockAttackAttackRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.Index

1

Motiejūnaitė Kotryna
(TK “Kaunas”-VDU)

21

82

24

22

10

229

0.0099

0.0099

78

54

19

245

0.0227

0.0227

132

20

21

301

24.7907

24.7907

0.60958

2

Hrapane Tereze
(Riga Volleyball School)

21

85

38

29

10

276

0.0133

0.0133

55

26

4

115

0.0153

0.0153

81

14

11

235

20.2553

20.2553

0.58398

3

Reiter Laura
(TÜ/Bigbank)

20

73

30

29

14

281

0.0136

0.0136

45

44

14

179

0.0139

0.0139

105

15

10

252

23.1746

23.1746

0.58264

4

Peit Eliisa
(TalTech/Tradehouse)

20

66

29

20

8

239

0.0125

0.0125

48

30

10

150

0.0162

0.0162

90

16

12

206

19.8641

19.8641

0.58118

5

Kullerkann Liis
(TalTech/Tradehouse)

7

25

5

5

1

57

0.0056

0.0056

30

31

3

86

0.0279

0.0279

54

4

11

92

10.5978

10.5978

0.57905

6

Rozīte Simona
(Jelgava/LLU)

18

75

32

14

9

256

0.0131

0.0131

44

43

0

164

0.0141

0.0141

78

9

12

193

22.1503

22.1503

0.5778

7

Loorman Mari
(TalTech/Tradehouse)

15

49

13

13

3

157

0.0069

0.0069

50

19

12

131

0.0217

0.0217

71

12

6

164

15.8354

15.8354

0.56101

8

Põld Kätriin
(Audentes SG/NK)

16

58

22

21

6

161

0.0111

0.0111

33

21

4

81

0.0131

0.0131

86

16

5

181

20.8287

20.8287

0.55161

9

Kasperavičiūtė Gabija
(TK Aušrinė-KKSC)

18

67

14

34

5

187

0.0068

0.0068

61

54

18

182

0.0217

0.0217

75

30

14

216

9.6157

9.6157

0.54748

10

Dzierkale Kristīne
(Jelgava/LLU)

18

75

25

24

10

232

0.0112

0.0112

39

46

3

178

0.0125

0.0125

91

16

14

232

19.7198

19.7198

0.54593

11

Zablotska Karyna
(TK “Kaunas”-VDU)

21

79

31

29

10

284

0.0119

0.0119

42

31

10

147

0.0122

0.0122

70

22

13

216

12.8009

12.8009

0.53734

12

Ozola Lasma
(Riga Volleyball School)

21

84

24

46

13

266

0.0103

0.0103

39

25

0

107

0.0108

0.0108

92

32

10

269

15.6134

15.6134

0.51918

13

Bakun Natallia
(Alytaus “Prekyba – Parama”)

19

77

21

19

5

252

0.008

0.008

38

42

2

156

0.0116

0.0116

87

18

22

258

14.0271

14.0271

0.50072

14

Arak Mari
(TÜ/Bigbank)

19

65

11

23

13

174

0.0079

0.0079

29

21

5

100

0.0095

0.0095

79

14

23

182

15

15

0.48753

15

Tarasenko Darja
(VK "miLATss")

17

66

13

20

5

212

0.0061

0.0061

34

31

5

174

0.0116

0.0116

122

27

25

394

11.7259

11.7259

0.4799

16

Valionytė Vaiva
(TK Aušrinė-KKSC)

18

67

19

21

4

249

0.0082

0.0082

17

36

12

145

0.006

0.006

96

17

12

246

18.248

18.248

0.47384

17

Pikk Renate
(TÜ/Bigbank)

13

36

14

17

8

115

0.0103

0.0103

6

9

1

44

0.0028

0.0028

72

15

13

203

7.803

7.803

0.45164

18

Matseichyk Natallia
(Alytaus “Prekyba – Parama”)

11

35

9

6

1

103

0.0057

0.0057

18

11

1

82

0.0102

0.0102

21

5

8

79

3.5443

3.5443

0.4511

19

Alehina Iveta
(VK "miLATss")

15

58

14

42

2

168

0.0061

0.0061

19

29

1

122

0.0073

0.0073

108

37

33

316

6.9747

6.9747

0.44216

20

Macenko Inga
(VK "miLATss")

1

3

0

0

1

9

0.0071

0.0071

1

0

0

1

0.0071

0.0071

5

2

2

15

0.2

0.2

0.43739

21

Abel Anni-Ly
(Audentes SG/NK)

7

19

5

6

2

52

0.0061

0.0061

8

4

0

19

0.007

0.007

38

5

6

104

4.9327

4.9327

0.43605

22

Vengerfeldt Katariina
(TÜ/Bigbank)

6

12

5

3

2

37

0.0071

0.0071

5

5

0

17

0.005

0.005

12

1

0

22

6

6

0.43409

23

Pill Liisbet
(Audentes SG/NK)

10

28

8

19

0

62

0.0054

0.0054

10

21

5

50

0.0068

0.0068

16

2

7

57

3.4386

3.4386

0.4261

24

Sild Kristel
(TÜ/Bigbank)

6

13

5

4

3

37

0.007

0.007

6

3

1

20

0.0052

0.0052

4

1

3

9

0

0

0.42342

25

Fedarovič Yulyia
(Alytaus “Prekyba – Parama”)

18

64

9

9

5

159

0.0045

0.0045

13

23

0

69

0.0042

0.0042

52

16

12

161

9.5404

9.5404

0.41258

26

Kuts Vera
(TK “Kaunas”-VDU)

15

44

6

5

4

89

0.0043

0.0043

5

9

5

48

0.0022

0.0022

4

4

1

26

-1.6923

-1.6923

0.38112

27

Šigauskaite Stela
(TK “Kaunas”-VDU)

6

11

1

2

0

23

0.0011

0.0011

3

3

1

10

0.0033

0.0033

2

0

0

4

5.5

5.5

0.36137

28

Stamm Karmen
(TalTech/Tradehouse)

9

13

3

3

0

35

0.0022

0.0022

0

2

0

2

0

0

2

0

0

6

4.3333

4.3333

0.35011

29

Brazdauskyte Marija
(TK “Kaunas”-VDU)

3

5

0

3

0

5

0

0

1

1

0

4

0.0022

0.0022

2

0

0

4

2.5

2.5

0.3452

30

Lamp Triinu
(Audentes SG/NK)

2

3

0

0

0

1

0

0

0

0

0

0

0

0

0

1

0

1

-3

-3

0.33246

31

Laas Laura
(TÜ/Bigbank)

1

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0.33246

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