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)

13

46

24

28

9

165

0,017

21

37

0

77

0,0108

162

38

24

460

10

0,53975

2

Strize Nina
(ŽOK Ribola Kaštela)

15

54

32

26

9

176

0,0159

16

31

0

81

0,0062

140

54

37

421

6,285

0,50456

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 Olimpik)

7

27

5

13

5

71

0,0088

11

14

1

41

0,0097

88

30

26

290

2,9793

0,42644

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)

7

21

3

8

1

70

0,0034

9

18

0

43

0,0077

61

18

11

182

3,6923

0,37833

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

Perić Antea
(OK Dinamo)

2

5

0

2

1

6

0,0035

0

2

0

5

0

2

4

2

22

-0,9091

0,3485

19

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

20

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

21

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

22

Sulić Dorja
(ŽOK Osijek)

1

2

0

0

0

1

0

0

0

0

1

0

2

0

2

8

0

0,32305

23

Kolobarić Karla
(OK Brda)

2

2

0

0

0

1

0

0

0

0

0

0

0

0

0

2

0

0,32305

24

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

25

Jahić Lejla
(OK Marina Kaštela)

1

2

0

1

0

7

0

0

0

0

2

0

3

1

2

15

0

0,32305

26

Smojver Lorena
(OK Dinamo)

1

1

0

0

0

0

0

0

1

0

2

0

1

0

0

1

1

0,32305

27

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