Premijer Liga za Žene OSBiH

Premijer Liga za Žene OSBiH

Premijer Liga za Žene OSBiH Best players MIDDLE BLOCKER
PlayerPlayedServeBlockAttackRanking
  MS#=/TotSv ind.#=/TotBl ind.#=/TotSp ind.Index

1

Kovačević Jovana
(UOK Banja Luka Volej)

5

21

17

8

3

85

0.0237

15

1

1

17

0.0178

45

6

10

80

7.6125

0.66285

2

Ašćerić Nikolina
(UOK Banja Luka Volej)

4

16

8

4

4

52

0.0184

10

1

0

16

0.0153

11

4

1

30

3.2

0.59592

3

Džodžaljević Dženita
(OK Sloboda)

10

36

18

14

5

139

0.0154

22

5

0

49

0.0147

53

11

14

141

7.1489

0.57322

4

Milidrag Bojana
(ŽOK Jahorina)

2

6

5

4

0

17

0.0212

2

1

0

5

0.0085

0

0

2

2

-6

0.57046

5

Hadžić Amela
(OK Sloboda)

12

43

12

20

3

129

0.0084

36

7

1

70

0.0201

82

9

12

169

15.5207

0.56289

6

Đuderija Fazila
(ŽOK Igman)

12

43

13

21

2

104

0.0076

32

4

0

37

0.0162

56

15

8

114

12.4474

0.52395

7

Vitković Tamara
(ŽOK Gacko)

1

3

2

1

0

9

0.0155

1

0

0

2

0.0078

3

7

1

18

-0.8333

0.51378

8

Klopić Ela
(ŽOK Igman)

12

34

11

6

6

91

0.0086

24

5

0

30

0.0121

36

7

2

64

14.3437

0.51

9

Adžić Tijana
(ŽOK Gacko)

6

21

10

12

1

66

0.0119

8

2

1

16

0.0086

47

7

7

81

8.5556

0.50554

10

Hadžić Merima
(ŽOK Igman)

11

37

14

20

3

99

0.0091

20

0

0

21

0.0107

37

6

9

73

11.1507

0.49976

11

ČENGIĆ Zerina
(SOK Mostar)

8

29

8

20

1

67

0.0072

18

7

0

34

0.0145

28

8

9

50

6.38

0.49801

12

Dragutinović Žana
(ŽOK Bimal Jedinstvo)

7

22

7

5

2

60

0.0097

7

1

2

14

0.0076

32

2

5

60

9.1667

0.48043

13

Vujčić Paula
(ŽOK Smeč)

3

11

2

6

2

27

0.0089

4

3

0

7

0.0089

13

2

4

27

2.8519

0.47026

14

Marković Sara
(UOK Banja Luka Volej)

10

40

7

10

2

119

0.0056

15

4

3

28

0.0093

47

5

5

96

15.4167

0.46672

15

Obuča Džana
(OK Goražde)

10

36

19

21

0

107

0.0119

0

0

0

4

0

20

6

2

39

11.0769

0.45327

16

Obarčanin Adijata
(OK Goražde)

10

37

10

25

3

124

0.0081

12

2

1

21

0.0075

13

2

7

31

4.7742

0.44792

17

Vujadinović Lea
(ŽOK Smeč)

4

12

5

4

1

29

0.0106

1

0

0

2

0.0018

0

1

3

5

-9.6

0.43233

18

Lepić Sara
(OK Kula Gradačac)

3

12

2

2

0

32

0.0041

5

1

0

8

0.0102

4

1

2

12

1

0.43167

19

Klačar Nikolina
(ŽOK Jahorina)

2

6

0

2

0

20

0

4

0

0

8

0.0148

10

0

0

18

3.3333

0.43

20

Kojić Ilijana
(ŽOK Bimal Jedinstvo)

4

5

3

4

0

16

0.0062

3

0

0

4

0.0062

1

1

1

3

-1.6667

0.42302

21

Koroman Miljana
(ŽOK Jahorina)

2

4

1

2

0

4

0.004

1

0

0

1

0.004

1

0

1

4

0

0.38994

22

Muminović Melisa
(ŽOK Smeč)

2

6

0

5

0

7

0

1

1

0

3

0.0043

0

0

1

4

-1.5

0.35783

23

Vesnić Ajla
(OK Goražde)

2

2

0

1

1

3

0.0029

0

0

0

0

0

0

1

0

1

-2

0.35576

24

Džodžaljević Fatima
(OK Kula Gradačac)

1

1

0

1

0

2

0

0

1

0

1

0

1

0

0

1

1

0.33417

25

Herenda Adna
(OK Goražde)

2

4

0

0

0

1

0

0

0

0

0

0

0

0

1

1

-4

0.33246

26

Pehar Vilka- Gabrijela
(SOK Mostar)

1

1

0

1

0

1

0

0

0

0

0

0

0

0

0

0

0

0.33246

27

Perković Tijana
(ŽOK Igman)

2

4

0

0

0

0

0

0

0

0

0

0

0

0

0

4

0

0.33246

28

Kurtić Arisa
(ŽOK Smeč)

1

3

0

0

0

2

0

0

0

0

0

0

1

0

1

3

0

0.33246

29

Šehović Benina
(OK Kula Gradačac)

1

5

0

2

0

12

0

0

0

0

0

0

1

2

2

13

-1.1538

0.33049

Ranking Calculation

Middle-Blocker

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:  1

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