članice

Competition

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

1

Grudina Tina
(Calcit Volleyball)

21

70

33

34

20

265

0,0183

0,0183

53

25

23

183

0,0183

0,0183

111

20

13

219

24,9315

24,9315

0,6531

2

Planinšec Saša
(Nova KBM Branik)

17

52

16

21

5

180

0,0091

0,0091

61

41

5

181

0,0265

0,0265

108

10

8

176

26,5909

26,5909

0,62987

3

Pintarič Katja Karin
(Kema Puconci)

21

71

25

35

4

217

0,0094

0,0094

60

31

4

131

0,0195

0,0195

112

11

10

265

24,3811

24,3811

0,58459

4

Napotnik Patricija
(Sp.Savinjska-Aliansa)

16

58

22

25

3

226

0,0101

0,0101

48

35

3

107

0,0194

0,0194

41

7

5

84

20,0238

20,0238

0,58156

5

Kaučič Marina
(Nova KBM Branik)

14

43

24

14

3

151

0,0135

0,0135

28

26

6

100

0,014

0,014

52

4

6

110

16,4182

16,4182

0,57055

6

Forštnarič Maja
(Sp.Savinjska-Aliansa)

15

55

15

25

2

118

0,0072

0,0072

45

19

7

79

0,0191

0,0191

59

5

5

105

25,6667

25,6667

0,56583

7

Tučen Taja
(Zgornja Gorenjska)

20

66

34

37

9

249

0,0149

0,0149

30

31

4

101

0,0104

0,0104

57

9

19

180

10,6333

10,6333

0,54835

8

Dodič Lara
(Luka Koper)

24

81

22

38

9

210

0,0093

0,0093

49

59

9

180

0,0147

0,0147

68

10

18

167

19,4012

19,4012

0,54346

9

Bavdaž Teja
(GEN-I Volley)

21

73

29

31

8

230

0,0116

0,0116

37

21

9

97

0,0116

0,0116

76

22

12

191

16,0524

16,0524

0,53678

10

Mihevc Katja
(Calcit Volleyball)

21

64

27

16

17

249

0,0152

0,0152

16

16

13

97

0,0055

0,0055

44

9

6

105

17,6762

17,6762

0,53157

11

Hasić Lejla
(ŽOK Mislinja)

20

66

23

36

7

179

0,0112

0,0112

28

8

0

64

0,0105

0,0105

62

18

9

124

18,629

18,629

0,53133

12

Ferlinc Nuša
(VOLLEYBALLjubljana)

24

99

36

36

8

272

0,0106

0,0106

42

41

8

117

0,0101

0,0101

128

28

29

315

22,3143

22,3143

0,53043

13

Đukić Sara
(GEN-I Volley)

22

72

23

32

9

252

0,0096

0,0096

38

21

11

98

0,0114

0,0114

104

20

14

248

20,3226

20,3226

0,52644

14

Kerbler Ana
(Formula Formis)

19

64

19

33

0

176

0,0065

0,0065

43

38

4

138

0,0146

0,0146

44

12

3

84

22,0952

22,0952

0,52247

15

Borko Tamara
(Formula Formis)

20

73

28

22

4

232

0,0102

0,0102

30

25

5

96

0,0096

0,0096

82

19

8

196

20,4847

20,4847

0,51986

16

Marzidovšek Hana
(Zgornja Gorenjska)

20

68

13

22

6

182

0,0068

0,0068

34

30

5

102

0,0122

0,0122

106

7

18

214

25,7383

25,7383

0,51672

17

Pintar Ela
(Nova KBM Branik)

16

48

16

16

1

145

0,0076

0,0076

31

24

0

98

0,0138

0,0138

59

8

10

127

15,4961

15,4961

0,51473

18

Arnež Maša
(VOLLEYBALLjubljana)

25

101

30

25

7

320

0,0087

0,0087

47

42

10

122

0,011

0,011

102

35

21

263

17,6654

17,6654

0,51027

19

Kadiš Mateja
(Kema Puconci)

18

63

28

19

2

187

0,0111

0,0111

22

14

0

52

0,0082

0,0082

66

14

12

188

13,4043

13,4043

0,5049

20

Velikonja Grbac Mirta
(GEN-I Volley)

18

47

15

16

2

117

0,0062

0,0062

38

27

6

99

0,0138

0,0138

52

15

8

120

11,3583

11,3583

0,49388

21

Kaker Tina
(Luka Koper)

24

78

17

18

11

188

0,0084

0,0084

22

52

10

150

0,0066

0,0066

90

21

18

208

19,125

19,125

0,48145

22

Kotnik Neža
(ŽOK Mislinja)

8

26

6

3

0

88

0,0056

0,0056

12

22

0

42

0,0111

0,0111

17

3

3

47

6,0851

6,0851

0,46038

23

Lužnik Doroteja
(ŽOK Mislinja)

7

24

6

4

2

55

0,0084

0,0084

2

0

0

2

0,0021

0,0021

5

0

1

6

16

16

0,41595

24

Turk Kaja
(Calcit Volleyball)

4

8

1

5

2

22

0,0061

0,0061

2

2

5

10

0,004

0,004

7

2

1

14

2,2857

2,2857

0,41203

25

Oletič Diana
(Kema Puconci)

14

30

7

4

2

59

0,0045

0,0045

6

2

0

15

0,003

0,003

20

3

3

38

11,0526

11,0526

0,40813

26

Franko Petra
(Kema Puconci)

1

3

0

1

0

5

0

0

1

0

0

1

0,0085

0,0085

2

1

0

3

1

1

0,38608

27

Zorman Anja
(Zgornja Gorenjska)

15

29

3

9

4

50

0,0034

0,0034

3

5

2

13

0,0014

0,0014

17

3

3

41

7,7805

7,7805

0,38239

28

Pintarič Adela
(Kema Puconci)

4

8

2

0

0

11

0,004

0,004

0

0

0

0

0

0

5

0

0

8

5

5

0,37396

29

Udrih Ines
(Sp.Savinjska-Aliansa)

12

22

1

1

0

27

0,0006

0,0006

8

4

5

21

0,0044

0,0044

13

3

4

31

4,2581

4,2581

0,37093

30

Vlepič Tjaša
(VOLLEYBALLjubljana)

5

12

2

3

0

16

0,002

0,002

2

0

0

2

0,002

0,002

3

3

0

8

0

0

0,36102

31

Rifelj Škerl Tjaša
(Sp.Savinjska-Aliansa)

2

5

1

3

0

8

0,0032

0,0032

0

0

0

0

0

0

0

0

0

0

0

0

0,35869

32

Štern Ana
(Formula Formis)

13

20

4

8

0

32

0,002

0,002

2

0

2

6

0,001

0,001

7

1

0

10

12

12

0,35467

33

Kocet Vita
(Luka Koper)

12

20

1

7

0

18

0,0006

0,0006

4

3

1

8

0,0024

0,0024

10

4

2

26

3,0769

3,0769

0,35219

34

Pogorevc Diana
(Formula Formis)

6

8

0

2

0

4

0

0

1

0

1

2

0,0011

0,0011

2

1

1

5

0

0

0,33899

35

Kramer Tina
(ŽOK Mislinja)

1

2

0

0

0

1

0

0

0

0

0

0

0

0

0

1

0

1

-2

-2

0,33246

36

Ražman Sara
(Luka Koper)

1

2

0

0

0

1

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