Baltic Women`s Volleyball League 2018-2019

Baltic Women`s Volleyball League 2018-2019

Baltic Women`s Volleyball League 2018-2019 Best players WING SPIKER
PlayerPlayedServeServeBlockBlockAttackAttackReceptionReceptionRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.#=/TotRc ind.Rc ind.Index

1

Lazda Irbe Andike
(Riga Volleyball School)

15

55

23

27

4

176

0.0111

0.0111

46

17

0

79

0.0189

0.0189

94

23

8

231

15

15

0

0

0

5

0.8

0.8

0.28808

2

Plāte Līga
(Jelgava/LLU)

15

55

34

23

0

207

0.0132

0.0132

16

7

1

64

0.0062

0.0062

153

33

27

367

13.9373

13.9373

35

34

5

332

0.4187

0.4187

0.25733

3

Kiisk Ingrid
(TÜ/Bigbank)

16

58

32

42

4

207

0.0143

0.0143

22

8

4

66

0.0087

0.0087

143

60

25

408

8.2451

8.2451

96

25

9

313

0.4089

0.4089

0.24066

4

Macenko Inga
(VK "miLATss")

16

61

8

14

1

157

0.0033

0.0033

31

23

1

139

0.0113

0.0113

105

10

18

302

15.553

15.553

20

15

1

121

0.3471

0.3471

0.2372

5

Ulumbelashvili Gvantsa
(TK “Kaunas”-VDU)

17

67

23

14

7

244

0.0103

0.0103

17

23

2

105

0.0058

0.0058

183

47

38

530

12.3887

12.3887

61

53

13

310

0.2258

0.2258

0.23659

6

Cehanoviča Ilona
(Jelgava/LLU)

14

51

14

27

4

156

0.0075

0.0075

21

12

1

108

0.0087

0.0087

69

12

12

178

12.8933

12.8933

0

2

0

8

0.25

0.25

0.23456

7

Grinkevičiūtė Tautvilė
(Alytaus “Prekyba – Parama”)

17

73

23

23

5

262

0.0088

0.0088

21

8

5

61

0.0066

0.0066

163

36

51

480

11.5583

11.5583

53

19

9

247

0.4453

0.4453

0.22954

8

Šadeiko Jade
(TÜ/Bigbank)

15

48

18

22

2

150

0.0084

0.0084

15

11

4

47

0.0063

0.0063

150

42

20

347

12.1729

12.1729

27

16

3

119

0.3025

0.3025

0.22842

9

Makauskaitė Eglė
(TK “Kaunas”-VDU)

17

67

24

19

11

202

0.012

0.012

14

21

3

108

0.0048

0.0048

105

29

28

354

9.0847

9.0847

47

22

12

308

0.3701

0.3701

0.22575

10

Kramena Kristine
(Riga Volleyball School)

18

63

34

24

3

260

0.0127

0.0127

5

7

0

51

0.0017

0.0017

129

27

33

461

9.4295

9.4295

97

30

10

418

0.4211

0.4211

0.22225

11

Kont-Kontson Raili
(TalTech/Tradehouse)

12

49

13

13

11

152

0.0108

0.0108

11

12

2

51

0.005

0.005

137

35

37

378

8.4259

8.4259

36

17

13

183

0.2404

0.2404

0.2183

12

Lokytė Ugnė
(TK “Kaunas”-VDU)

17

65

15

30

1

196

0.0055

0.0055

27

34

2

149

0.0093

0.0093

149

60

26

476

8.6029

8.6029

3

7

1

39

0.0769

0.0769

0.20921

13

Daunytė Agnė
(Alytaus “Prekyba – Parama”)

19

81

30

15

10

250

0.0114

0.0114

13

18

1

73

0.0037

0.0037

177

78

54

597

6.1055

6.1055

73

38

8

350

0.38

0.38

0.20759

14

Kjasile Alise
(Riga Volleyball School)

18

60

24

32

5

217

0.01

0.01

8

12

2

41

0.0027

0.0027

109

38

19

396

7.8788

7.8788

49

26

7

273

0.3223

0.3223

0.20755

15

Grudzinskaitė Gerda
(TK Aušrinė-KKSC)

16

53

25

15

5

218

0.0128

0.0128

6

10

0

38

0.0026

0.0026

149

54

48

467

5.334

5.334

26

14

4

215

0.5953

0.5953

0.20711

16

Säästla Maria
(TalTech/Tradehouse)

16

64

14

11

6

198

0.0067

0.0067

13

14

6

78

0.0043

0.0043

168

67

26

536

8.9552

8.9552

1

0

0

10

0.6

0.6

0.20333

17

Černiševa Diana
(VK "miLATss")

15

58

17

13

4

224

0.0081

0.0081

10

27

1

100

0.0038

0.0038

117

31

36

380

7.6316

7.6316

84

35

3

306

0.4444

0.4444

0.20263

18

Raud Marcella
(TalTech/Tradehouse)

16

53

15

12

13

162

0.0094

0.0094

9

13

2

47

0.003

0.003

75

22

19

281

6.4128

6.4128

55

16

18

295

0.3661

0.3661

0.19995

19

Grudzinskaitė Rugilė
(TK Aušrinė-KKSC)

16

52

11

21

3

122

0.006

0.006

11

17

1

64

0.0047

0.0047

108

33

37

371

5.3261

5.3261

29

17

9

230

0.5

0.5

0.18812

20

Švarca Alise
(Jelgava/LLU)

16

58

19

5

3

198

0.0078

0.0078

32

10

0

78

0.0114

0.0114

35

11

11

119

6.3361

6.3361

0

3

0

8

0.125

0.125

0.18651

21

Cerņavska Marija
(VK "miLATss")

15

55

13

8

0

142

0.005

0.005

7

15

0

82

0.0027

0.0027

92

36

18

308

6.7857

6.7857

45

19

4

255

0.4353

0.4353

0.18604

22

Leite Jana
(Jelgava/LLU)

13

39

12

12

2

96

0.0063

0.0063

9

5

0

32

0.0041

0.0041

52

17

19

198

3.1515

3.1515

49

35

4

224

0.2634

0.2634

0.17877

23

Luik Laura
(TalTech/Tradehouse)

10

24

5

8

3

45

0.0044

0.0044

3

5

1

28

0.0017

0.0017

34

10

7

86

4.7442

4.7442

14

10

9

90

0.2667

0.2667

0.17381

24

Mägi Kadi
(TÜ/Bigbank)

12

20

2

3

3

50

0.0025

0.0025

2

1

2

12

0.001

0.001

33

2

6

89

5.618

5.618

17

5

5

74

0.3649

0.3649

0.17025

25

Teivāne Kristīne
(VK "miLATss")

13

35

15

7

0

95

0.0069

0.0069

4

12

0

65

0.0018

0.0018

33

20

8

145

1.2069

1.2069

28

22

0

151

0.351

0.351

0.16905

26

Külm Kertti
(TÜ/Bigbank)

6

21

2

4

1

32

0.0034

0.0034

3

4

0

27

0.0034

0.0034

24

11

4

88

2.1477

2.1477

16

4

2

80

0.5125

0.5125

0.16544

27

Ergle Amanda Nikola
(Riga Volleyball School)

8

16

7

4

0

63

0.0057

0.0057

1

2

0

4

0.0008

0.0008

30

15

6

114

1.2632

1.2632

6

10

0

73

0.2603

0.2603

0.16345

28

Nemme Madara
(Jelgava/LLU)

9

27

9

8

0

83

0.0059

0.0059

0

1

0

14

0

0

44

26

17

153

0.1765

0.1765

14

14

3

120

0.4917

0.4917

0.15919

29

Gerlina Adelina
(Riga Volleyball School)

8

13

4

2

0

14

0.003

0.003

1

0

0

1

0.0008

0.0008

13

3

3

45

2.0222

2.0222

6

1

0

25

0.48

0.48

0.1575

30

Andrieieva Iryna
(TK Aušrinė-KKSC)

6

18

0

0

0

31

0

0

1

8

0

24

0.0011

0.0011

21

6

1

84

3

3

4

3

0

59

0.5254

0.5254

0.15391

31

Železniakaitė Dastina
(TK Aušrinė-KKSC)

14

38

7

9

0

78

0.0034

0.0034

2

5

0

18

0.001

0.001

39

25

15

198

-0.1919

-0.1919

16

12

1

133

0.4962

0.4962

0.15235

32

Vaitkutė Evelina
(TK Aušrinė-KKSC)

13

31

5

5

1

46

0.0031

0.0031

0

0

1

5

0

0

14

8

5

85

0.3647

0.3647

4

10

0

40

0.15

0.15

0.14945

33

Kiaušaitė Kamilė
(TK “Kaunas”-VDU)

13

23

2

3

1

16

0.0013

0.0013

2

3

0

20

0.0009

0.0009

5

4

1

34

0

0

6

6

3

40

0.3

0.3

0.14261

34

Pulkauninkaitė Greta
(TK “Kaunas”-VDU)

12

22

4

2

0

20

0.002

0.002

1

1

0

7

0.0005

0.0005

8

7

2

33

-0.6667

-0.6667

0

3

0

13

-0.1538

-0.1538

0.1419

35

Petrova Ieva
(VK "miLATss")

5

17

0

2

0

19

0

0

0

9

0

34

0

0

0

0

3

12

-4.25

-4.25

10

9

2

60

0.2667

0.2667

0.1416

36

Michnevičiūtė Reda
(TK Aušrinė-KKSC)

6

10

0

2

0

9

0

0

0

1

0

6

0

0

8

4

3

24

0.4167

0.4167

2

4

0

25

0.2

0.2

0.14105

37

Kukučionytė Viktorija
(TK “Kaunas”-VDU)

6

7

0

0

0

4

0

0

0

0

0

0

0

0

1

4

0

7

-3

-3

0

3

2

7

-0.7143

-0.7143

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:  5