MEVZA League Women 2024/2025

MEVZA League Women 2024/2025

MEVZA League Women 2024/2025 Best players WING SPIKER
PlayerPlayedServeServeBlockBlockAttackAttackReceptionReceptionRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.#=/TotRc ind.Rc ind.Index

1

BEČIĆ Luna
(OK Dinamo Zagreb (CRO))

6

21

13

13

7

99

0.0199

0.0199

6

14

1

25

0.006

0.006

54

11

8

147

5

5

20

18

5

149

0.1879

0.1879

0.23983

2

MAČEK Anja
(OK Calcit KAMNIK w (SLO))

3

10

6

1

3

54

0.0208

0.0208

0

2

0

2

0

0

26

2

3

70

3

3

10

2

5

51

0.2157

0.2157

0.21885

3

GRABIĆ Leonarda
(HAOK Mladost ZAGREB w (CRO))

7

22

6

9

3

86

0.0077

0.0077

10

8

0

24

0.0086

0.0086

78

17

12

219

4.9224

4.9224

44

9

6

148

0.4932

0.4932

0.20103

4

PUCELJ Maša
(OK Calcit KAMNIK w (SLO))

5

16

5

3

2

53

0.0086

0.0086

6

6

0

15

0.0074

0.0074

53

8

8

127

4.6614

4.6614

17

6

5

97

0.2887

0.2887

0.19966

5

RAMIĆ Isa
(OK OTP Banka Branik MARIBOR (SLO))

3

12

2

5

1

22

0.0056

0.0056

5

9

0

14

0.0094

0.0094

36

11

8

96

2.125

2.125

7

8

2

40

0.075

0.075

0.18348

6

JULARIĆ Nika
(OK OTP Banka Branik MARIBOR (SLO))

5

17

4

7

4

68

0.0096

0.0096

1

5

0

6

0.0012

0.0012

25

5

9

81

2.3086

2.3086

24

5

10

109

0.3578

0.3578

0.1802

7

LANGEGGER Melissa
(GEN-I Volley NOVA GORICA (SLO))

4

10

1

4

1

30

0.0037

0.0037

5

6

0

11

0.0092

0.0092

28

7

2

67

2.8358

2.8358

11

6

2

58

0.2414

0.2414

0.18004

8

IŠTUK Ana
(HAOK Mladost ZAGREB w (CRO))

6

24

2

3

2

67

0.0038

0.0038

5

5

0

19

0.0048

0.0048

69

20

11

203

4.4926

4.4926

37

7

7

144

0.3958

0.3958

0.17775

9

BOISA Naja
(OK Calcit KAMNIK w (SLO))

6

21

3

1

1

62

0.0042

0.0042

2

6

0

12

0.0021

0.0021

41

4

10

114

4.9737

4.9737

17

5

6

88

0.1932

0.1932

0.17494

10

ŠEN Asja
(OK Calcit KAMNIK w (SLO))

4

9

2

5

3

27

0.0083

0.0083

1

2

0

4

0.0017

0.0017

16

4

4

43

1.6744

1.6744

4

1

3

24

0.2083

0.2083

0.17387

11

GODEC Žana
(GEN-I Volley NOVA GORICA (SLO))

5

16

3

4

2

50

0.0066

0.0066

1

8

0

9

0.0013

0.0013

53

16

12

139

2.8777

2.8777

11

4

7

117

0.1795

0.1795

0.17271

12

DANILOVIĆ Sonja
(OK OTP Banka Branik MARIBOR (SLO))

5

17

3

3

1

54

0.0048

0.0048

2

7

0

9

0.0024

0.0024

40

9

9

116

3.2241

3.2241

17

15

5

116

0.1897

0.1897

0.17065

13

MLINAR Maša
(OK Dinamo Zagreb (CRO))

5

15

2

8

2

40

0.005

0.005

3

3

0

9

0.0038

0.0038

28

9

7

88

2.0455

2.0455

13

3

2

93

0.2903

0.2903

0.17016

14

SESAR Lana
(OK Dinamo Zagreb (CRO))

5

15

2

5

1

26

0.0037

0.0037

2

6

0

10

0.0025

0.0025

30

6

10

81

2.5926

2.5926

10

6

1

74

0.2162

0.2162

0.16526

15

BEČIĆ Mirna
(OK Marina KASTELA)

5

14

3

2

0

45

0.0044

0.0044

1

8

0

12

0.0015

0.0015

30

5

10

93

2.2581

2.2581

11

8

1

77

0.2987

0.2987

0.16438

16

ZOKIĆ Marijeta
(OK Marina KASTELA)

5

15

1

8

1

30

0.0029

0.0029

4

6

0

12

0.0059

0.0059

19

6

9

83

0.7229

0.7229

3

18

7

94

-0.0638

-0.0638

0.1623

17

VRANKOVIĆ Bruna Ana
(OK Marina KASTELA)

2

5

0

5

1

11

0.0032

0.0032

1

0

0

3

0.0032

0.0032

21

3

3

56

1.3393

1.3393

0

0

0

0

0

0

0.16048

18

KNEŽEVIČ Eva
(OK OTP Banka Branik MARIBOR (SLO))

3

5

2

2

0

15

0.0041

0.0041

0

0

0

0

0

0

6

0

0

16

1.875

1.875

6

5

0

23

0.2174

0.2174

0.15914

19

PAVAČIĆ Tea
(OK Dinamo Zagreb (CRO))

4

12

2

1

2

20

0.0053

0.0053

0

1

0

4

0

0

7

2

0

20

3

3

4

1

1

20

0.3

0.3

0.15567

20

KORACA Andrea
(HAOK Mladost ZAGREB w (CRO))

4

8

1

3

1

18

0.0033

0.0033

0

1

0

3

0

0

12

3

1

43

1.4884

1.4884

0

0

0

0

0

0

0.15493

21

KOJUNDŽIĆ Tea
(OK Marina KASTELA)

1

2

0

1

0

4

0

0

1

1

0

2

0.008

0.008

1

2

0

7

-0.2857

-0.2857

0

0

0

0

0

0

0.15449

22

BLAŽIČ Pia
(GEN-I Volley NOVA GORICA (SLO))

4

8

1

2

0

17

0.0016

0.0016

0

3

0

3

0

0

20

6

3

48

1.8333

1.8333

5

4

3

43

0.093

0.093

0.15159

23

SENEKOVIČ Pia
(OK OTP Banka Branik MARIBOR (SLO))

5

8

2

0

1

13

0.0036

0.0036

0

0

0

0

0

0

0

0

0

1

0

0

0

0

0

0

0

0

0.15078

24

PODBRŠČEK Hana
(GEN-I Volley NOVA GORICA (SLO))

2

4

1

0

0

10

0.0028

0.0028

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0.14858

25

FRANCETIĆ Lana
(OK Marina KASTELA)

5

10

1

3

0

15

0.0015

0.0015

0

6

0

7

0

0

15

2

11

49

0.4082

0.4082

7

11

2

61

0.0656

0.0656

0.14642

26

GILJUŠIĆ Lea
(OK Marina KASTELA)

1

3

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

1

0

0

0

0

0

0

0

0

0.14105

27

PUKL VERDEL Lira
(OK OTP Banka Branik MARIBOR (SLO))

1

1

0

1

0

2

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0.14105

28

GOJAK Atena
(OK Calcit KAMNIK w (SLO))

1

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

2

0

0

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:  1