MEVZA League Women 2022/2023

MEVZA League Women 2022/2023

MEVZA League Women 2022/2023 Best players WING SPIKER
PlayerPlayedServeServeBlockBlockAttackAttackReceptionReceptionRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.#=/TotRc ind.Rc ind.Index

1

PAVIČIĆ Katarina
(HAOK Mladost ZAGREB w (CRO))

7

28

15

10

7

93

0.018

0.018

11

18

0

39

0.009

0.009

67

22

14

207

4.1932

4.1932

46

10

18

194

0.2216

0.2216

0.23637

2

RADISKOVIĆ Andjelka
(OK Calcit KAMNIK w (SLO))

6

20

7

9

6

77

0.0134

0.0134

9

3

0

14

0.0093

0.0093

62

12

8

167

5.0299

5.0299

29

6

5

108

0.3981

0.3981

0.22381

3

LORBER FIJOK Lorena
(Nova KBM Branik MARIBOR (SLO))

9

36

10

18

9

127

0.0127

0.0127

8

13

2

25

0.0054

0.0054

104

27

24

277

6.8881

6.8881

70

16

7

228

0.4211

0.4211

0.21997

4

VOVK Ana Marija
(OK Calcit KAMNIK w (SLO))

3

14

6

2

0

41

0.0103

0.0103

5

4

0

9

0.0086

0.0086

28

3

2

68

4.7353

4.7353

10

6

5

80

0.0875

0.0875

0.20831

5

BOTKIN Brooke
(Oberbank Steelvolleys Linz Steg)

3

9

3

3

1

30

0.0089

0.0089

6

1

0

8

0.0134

0.0134

36

3

6

90

2.7

2.7

12

2

2

73

0.4521

0.4521

0.20703

6

MARKOVIĆ Josipa
(HAOK Mladost ZAGREB w (CRO))

7

28

3

10

8

88

0.009

0.009

10

9

3

28

0.0082

0.0082

86

15

22

246

5.5772

5.5772

49

18

16

194

0.299

0.299

0.20701

7

MILENKO Oleksandra
(SC Prometey DNIPRO (UKR))

4

14

7

6

0

56

0.0121

0.0121

2

4

0

10

0.0034

0.0034

48

6

6

109

4.6239

4.6239

18

3

3

58

0.5

0.5

0.20333

8

GLEMBOCZKI Zóra
(Swietelsky-BÉKÉSCSABA (HUN))

9

27

5

5

9

78

0.0096

0.0096

8

3

0

15

0.0055

0.0055

67

11

16

194

5.567

5.567

31

4

5

113

0.4071

0.4071

0.20305

9

VASILEVA Ralitsa Veselinova
(Swietelsky-BÉKÉSCSABA (HUN))

6

23

10

9

2

81

0.0116

0.0116

4

3

0

14

0.0039

0.0039

66

21

13

191

3.8534

3.8534

68

13

17

186

0.3925

0.3925

0.19896

10

HOHENAUER Emma
(Oberbank Steelvolleys Linz Steg)

4

12

1

5

4

38

0.0089

0.0089

2

0

0

5

0.0036

0.0036

34

3

5

75

4.16

4.16

13

5

7

71

0.2113

0.2113

0.19019

11

LEKŠE Tali
(Nova KBM Branik MARIBOR (SLO))

9

34

6

16

4

112

0.0067

0.0067

7

1

0

10

0.0047

0.0047

60

14

20

174

5.0805

5.0805

37

11

8

178

0.3258

0.3258

0.18915

12

AKTAS Ceyda
(Swietelsky-BÉKÉSCSABA (HUN))

6

20

4

6

5

72

0.0088

0.0088

3

7

1

14

0.0029

0.0029

49

12

8

144

4.0278

4.0278

33

8

5

105

0.3905

0.3905

0.18844

13

PUCELJ Maša
(OK Calcit KAMNIK w (SLO))

5

17

5

9

1

50

0.0078

0.0078

4

4

0

9

0.0052

0.0052

49

11

10

131

3.6336

3.6336

38

8

6

104

0.3654

0.3654

0.18833

14

KHOBER Yevheniia
(SC Prometey DNIPRO (UKR))

4

14

2

8

2

47

0.0069

0.0069

3

3

0

7

0.0052

0.0052

43

12

8

107

3.0093

3.0093

14

13

7

91

0.0879

0.0879

0.18203

15

VUKIĆ Elena
(OK Marina KASTELA)

2

5

0

0

0

8

0

0

4

0

0

4

0.0155

0.0155

1

1

1

11

-0.4545

-0.4545

1

1

0

11

0

0

0.17007

16

RAAB Carmen
(Oberbank Steelvolleys Linz Steg)

2

4

2

1

0

6

0.0069

0.0069

0

0

0

0

0

0

9

2

0

13

2.1538

2.1538

1

0

3

8

-0.125

-0.125

0.16801

17

BOISA Naja
(OK Calcit KAMNIK w (SLO))

4

11

2

2

1

32

0.0042

0.0042

1

0

0

2

0.0014

0.0014

12

3

0

33

3

3

6

3

2

39

0.1538

0.1538

0.16606

18

MEHLEM Fabienne
(Oberbank Steelvolleys Linz Steg)

2

4

0

1

1

9

0.0041

0.0041

1

0

0

2

0.0041

0.0041

5

0

2

12

1

1

0

0

0

1

0

0

0.16362

19

SKOČIĆ Anđela
(OK Marina KASTELA)

1

3

1

1

0

5

0.0076

0.0076

0

2

0

2

0

0

5

1

3

14

0.2143

0.2143

0

0

0

9

0.2222

0.2222

0.16351

20

SINKA Dalma
(Swietelsky-BÉKÉSCSABA (HUN))

1

3

0

0

1

7

0.008

0.008

0

0

0

0

0

0

3

3

2

22

-0.2727

-0.2727

0

1

0

2

-0.5

-0.5

0.16252

21

TRATHNIGG Saskia
(Oberbank Steelvolleys Linz Steg)

6

18

5

2

1

54

0.0063

0.0063

2

3

0

10

0.0021

0.0021

7

7

2

56

-0.6429

-0.6429

27

10

7

75

0.24

0.24

0.16099

22

TUSKA Brigitta
(Swietelsky-BÉKÉSCSABA (HUN))

2

4

1

0

0

14

0.0032

0.0032

1

0

0

1

0.0032

0.0032

5

4

3

20

-0.4

-0.4

3

3

0

24

0.25

0.25

0.15487

23

POTOKAR Monika
(Nova KBM Branik MARIBOR (SLO))

4

13

1

1

0

21

0.0013

0.0013

0

10

0

11

0

0

16

4

3

51

2.2941

2.2941

9

7

6

81

0.1481

0.1481

0.15241

24

GRABIĆ Leonarda
(HAOK Mladost ZAGREB w (CRO))

7

12

0

5

1

14

0.0008

0.0008

0

2

0

2

0

0

6

5

1

23

0

0

4

1

3

23

0.2609

0.2609

0.14322

25

KARHU Salla Hannele
(Swietelsky-BÉKÉSCSABA (HUN))

2

6

0

0

0

11

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0.14105

26

GILJUŠIĆ Lea
(OK Marina KASTELA)

1

1

0

0

0

0

0

0

0

1

0

1

0

0

0

0

0

2

0

0

0

0

0

0

0

0

0.14105

27

IVANČIĆ Silvia
(OK Marina KASTELA)

1

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0.14105

28

PETROVIĆ Dušanka
(OK Marina KASTELA)

1

3

0

0

0

10

0

0

0

0

0

0

0

0

3

3

2

20

-0.3

-0.3

2

0

2

16

0.25

0.25

0.14062

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:  1