SUPERLIGA (Ž) 2024/2025

SUPERLIGA (Ž) 2024/2025

SUPERLIGA (Ž) 2024/2025 Best players OPPOSITE
PlayerPlayedServeBlockAttackRanking
  MS#=/TotSv ind.#=/TotBl ind.#=/TotSp ind.Index

1

Babić Lucia
(OK Dinamo)

11

38

20

21

9

141

0,0183

20

29

0

62

0,0126

129

31

17

369

8,3415

0,54536

2

Strize Nina
(ŽOK Ribola Kaštela)

13

47

28

24

8

159

0,0161

14

30

0

77

0,0063

132

51

34

390

5,6641

0,50401

3

Kruhonja Klara
(OK Dinamo)

1

2

2

0

0

7

0,016

1

1

0

3

0,008

0

0

0

0

0

0,47619

4

Gajić Tatjana
(ŽOK Osijek)

3

12

3

7

5

38

0,0143

5

10

0

20

0,0089

72

19

18

189

2,2222

0,47216

5

Delić Lucija
(OK Brda)

5

20

9

9

1

74

0,0117

12

23

0

54

0,014

63

15

16

207

3,0918

0,45869

6

Kojundžić Tea
(OK Marina Kaštela)

3

11

2

0

4

29

0,0111

5

5

0

19

0,0092

23

6

7

82

1,3415

0,43847

7

Ambulija Bojana
(OK Nebo)

12

43

10

15

7

125

0,0082

15

26

0

64

0,0073

128

41

22

412

6,784

0,43652

8

Barić Doris
(OK Don Bosco)

5

20

4

10

4

54

0,0095

8

10

1

32

0,0095

71

24

22

223

2,2422

0,42817

9

Zharkova Kima
(ŽOK Dubrovnik)

3

11

1

4

3

26

0,0086

7

5

0

21

0,015

25

8

7

96

1,1458

0,42141

10

Kenjalo Duška
(OK Kelteks (Ž))

9

33

9

5

3

118

0,008

15

10

0

40

0,0101

94

31

30

328

3,3201

0,42113

11

Bošnjak Tonka
(HAOK Mladost (Ž))

3

11

3

0

0

31

0,0059

6

5

0

18

0,0117

31

6

5

100

2,2

0,39781

12

Bošković Dajana
(ŽOK Ribola Kaštela)

5

16

3

7

1

55

0,0049

7

15

0

33

0,0086

48

12

9

133

3,2481

0,39055

13

Kumanović Anika
(OK Don Bosco)

1

4

1

1

0

9

0,0062

0

0

0

0

0

11

2

5

39

0,4103

0,37793

14

Petrović Hana
(OK Nebo)

6

14

3

2

1

36

0,0043

2

1

0

5

0,0021

13

6

5

64

0,4375

0,36404

15

Jakić Nina
(OK Don Bosco)

6

15

2

1

2

20

0,0042

0

2

0

5

0

11

3

5

44

1,0227

0,35842

16

Vranković Bruna Ana
(OK Marina Kaštela)

3

7

2

2

0

12

0,0039

1

0

0

2

0,0019

10

8

3

37

-0,1892

0,35721

17

Drašković Minja
(OK Marina Kaštela)

1

3

0

2

0

5

0

3

1

0

5

0,025

6

2

3

23

0,1304

0,35168

18

Buršić Tina
(OK Kelteks (Ž))

4

8

0

0

0

7

0

2

0

0

2

0,0031

12

3

1

32

2

0,33546

19

Pilepić Katarina
(HAOK Mladost (Ž))

1

3

0

4

0

6

0

1

3

0

4

0,008

5

1

2

14

0,4286

0,33382

20

Vlašić Ema
(OK Kelteks (Ž))

3

4

0

0

0

1

0

0

1

0

1

0

0

1

1

6

-1,3333

0,32305

21

Sulić Dorja
(ŽOK Osijek)

1

2

0

0

0

1

0

0

0

0

1

0

2

0

2

8

0

0,32305

22

Kolobarić Karla
(OK Brda)

2

2

0

0

0

1

0

0

0

0

0

0

0

0

0

2

0

0,32305

23

Grbeša Anja
(ŽOK Ribola Kaštela)

2

2

0

0

0

0

0

0

0

0

0

0

0

0

1

3

-0,6667

0,32305

24

Jahić Lejla
(OK Marina Kaštela)

1

2

0

1

0

7

0

0

0

0

2

0

3

1

2

15

0

0,32305

25

Smojver Lorena
(OK Dinamo)

1

1

0

0

0

0

0

0

1

0

2

0

1

0

0

1

1

0,32305

26

Jukić Nika
(OK Don Bosco)

1

1

0

0

0

0

0

0

0

0

0

0

1

1

0

3

0

0,32305

Ranking Calculation

Opposite

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:  3

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