SUPERLIGA (Ž) 2023/2024

Competition

SUPERLIGA (Ž) 2023/2024 Best players OPPOSITE
PlayerPlayedServeBlockAttackRanking
  MS#=/TotSv ind.#=/TotBl ind.#=/TotSp ind.Index

1

Babić Lucia
(OK Dinamo)

27

102

57

59

19

375

0,0173

36

68

0

182

0,0082

379

94

67

1012

21,9723

0,5986

2

Barić Doris
(OK Kelteks (Ž))

26

102

52

56

21

398

0,0166

33

34

1

97

0,0075

438

92

96

1098

23,224

0,59704

3

Strize Nina
(ŽOK Ribola Kaštela)

24

97

38

56

24

318

0,0146

35

33

1

93

0,0083

331

94

69

870

18,731

0,5579

4

Mihaljević Andrea
(HAOK Mladost (Ž))

25

88

21

59

25

293

0,012

26

36

0

106

0,0068

345

91

43

807

23,0087

0,55344

5

Glavinić Katarina
(OK Split (Ž))

22

76

18

13

10

259

0,0085

33

39

1

103

0,0101

246

48

55

627

17,3333

0,49596

6

Barišić Ana
(OK Don Bosco)

2

8

3

2

3

25

0,0175

1

0

0

1

0,0029

12

2

2

38

1,6842

0,4929

7

Ambulija Bojana
(OK Nebo)

6

23

12

7

4

90

0,0151

10

18

1

44

0,0095

74

23

12

207

4,3333

0,49178

8

Delić Lucija
(OK Brda)

20

72

19

27

11

256

0,0094

46

48

0

110

0,0145

216

43

49

676

13,2071

0,48926

9

Mandić Nika
(ŽOK Dubrovnik)

1

5

1

1

2

16

0,0135

5

0

0

5

0,0225

9

3

2

35

0,5714

0,47383

10

Pavačić Tea
(HAOK Rijeka CO)

12

44

13

27

5

151

0,0093

7

8

0

15

0,0036

151

41

30

420

8,381

0,45018

11

Giljušić Lea
(OK Marina Kaštela)

11

41

13

19

2

123

0,0082

12

25

1

50

0,0065

85

24

18

242

7,2851

0,43753

12

Bečić Mirna
(ŽOK Enna Vukovar)

1

4

2

1

0

13

0,0109

2

1

0

3

0,0109

14

4

3

42

0,6667

0,43507

13

Vukasović Stela
(OK Marina Kaštela)

2

7

1

2

1

26

0,0063

6

5

0

13

0,019

24

3

3

65

1,9385

0,40946

14

Bošnjak Tonka
(HAOK Mladost (Ž))

17

30

7

11

2

62

0,0036

8

17

1

29

0,0032

51

10

6

139

7,554

0,3931

15

Jureta Klara
(OK Brda)

1

4

1

2

0

14

0,0058

0

0

0

0

0

8

3

3

26

0,3077

0,37457

16

Miloloža Karla
(OK Nebo)

10

21

4

4

1

41

0,0031

0

4

0

5

0

27

10

7

74

2,8378

0,36191

17

Ergović Ana
(OK Split (Ž))

14

27

9

4

0

45

0,0044

1

2

0

7

0,0005

12

4

5

45

1,8

0,36066

18

Vasilj Ivana
(ŽOK Ribola Kaštela)

5

9

2

3

1

12

0,0037

0

0

0

0

0

4

1

2

14

0,6429

0,35413

19

Jelić Laura
(OK Brda)

18

40

7

6

1

89

0,0028

2

5

0

8

0,0007

19

17

8

91

-2,6374

0,34751

20

Gajić Tatjana
(ŽOK Osijek)

1

4

0

0

0

12

0

1

2

0

3

0,0057

9

1

3

36

0,5556

0,33181

21

Kolobarić Karla
(ŽOK Ribola Kaštela)

8

18

0

4

1

35

0,0007

2

0

0

2

0,0014

13

5

3

53

1,6981

0,33036

22

Jakić Nina
(OK Don Bosco)

8

13

0

2

0

10

0

2

1

0

4

0,0015

6

0

1

18

3,6111

0,32468

23

Vlašić Ema
(OK Kelteks (Ž))

11

15

3

1

2

12

0,0028

1

2

0

5

0,0006

2

3

1

13

-2,3077

0,32366

24

Perić Antea
(OK Dinamo)

5

7

0

0

0

0

0

0

1

0

1

0

2

0

3

9

-0,7778

0,32305

25

Smojver Lorena
(OK Dinamo)

2

2

0

0

0

3

0

0

0

0

0

0

0

0

0

0

0

0,32305

26

Vekić Mateja
(HAOK Rijeka CO)

1

1

0

0

0

1

0

0

0

0

0

0

0

0

0

0

0

0,32305

27

Čaić Marija
(OK Brda)

1

1

0

0

0

0

0

0

0

0

0

0

1

0

0

1

1

0,32305

28

Draganić Strgačić Roza
(OK Split (Ž))

1

1

0

0

0

1

0

0

0

0

0

0

0

0

0

0

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