SUPER LIGA 2018/2019 ( Ž )

1.stupanj natjecanja ( Ž )

SUPER LIGA 2018/2019 ( Ž ) Best players MIDDLE BLOCKER
PlayerPlayedServeBlockAttackRanking
  MS#=/TotSv ind.#=/TotBl ind.#=/TotSp ind.Index

1

Butigan Božana
(HAOK Mladost)

12

37

19

17

6

121

0,0155

51

35

0

93

0,0317

40

6

2

85

13,9294

0,69025

2

Freund Mirta
(HAOK Mladost)

4

9

7

2

2

35

0,0193

8

3

0

11

0,0172

8

1

0

10

6,3

0,62124

3

Popić Astrid
(HAOK Rijeka CO)

12

43

23

12

11

144

0,0189

22

24

0

56

0,0122

69

12

7

125

17,2

0,60704

4

Boban Lea
(HAOK Rijeka CO)

11

38

15

17

4

122

0,0117

35

24

0

63

0,0215

60

9

9

124

12,871

0,59563

5

Kačić Bartulović Tea
(HAOK Mladost)

5

12

5

7

1

45

0,0102

12

7

0

22

0,0204

8

1

1

15

4,8

0,5605

6

Štaka Orsula
(OK Olimpik)

12

45

15

18

8

158

0,0118

27

34

0

87

0,0139

44

5

3

105

15,4286

0,55284

7

Zdilar Jelena
(OK Marina Kaštela)

13

45

24

18

10

172

0,0181

16

18

0

39

0,0085

16

2

3

32

15,4687

0,54393

8

Jurišić Iva
(HAOK Mladost)

12

36

10

7

7

113

0,0107

24

27

0

56

0,0151

43

9

4

92

11,7391

0,54374

9

Rimac Ana
(OK Kaštela Cemex)

11

40

13

7

8

118

0,0117

24

26

0

65

0,0133

35

12

1

90

9,7778

0,53662

10

Prkačin Ivana
(OK Kaštela Cemex)

11

40

8

22

8

149

0,0089

27

16

0

54

0,015

54

12

4

123

12,3577

0,52782

11

Bilić Katarina
(ŽOK Enna Vukovar)

14

51

13

28

1

151

0,0063

33

19

0

91

0,0148

120

8

13

219

23,0548

0,52356

12

Šandrk Maja
(OK Olimpik)

13

49

16

16

1

146

0,008

32

39

0

102

0,015

56

13

7

134

13,1642

0,52162

13

Dežulović Lara
(OK Marina Kaštela)

12

42

2

9

2

60

0,0023

34

19

0

69

0,0192

55

5

3

111

17,7838

0,50712

14

Dešković Nora
(OK Brda)

8

28

8

7

9

78

0,0144

7

6

0

16

0,0059

10

3

1

34

4,9412

0,50255

15

Lukić Marta
(ŽOK Enna Vukovar)

10

34

18

20

5

117

0,0144

7

17

0

33

0,0044

92

31

24

279

4,509

0,49183

16

Bogdanović Katarina
(OK Brda)

9

28

5

7

3

78

0,0061

14

4

0

20

0,0106

10

3

1

35

4,8

0,45958

17

Kljajić Matea
(OK Poreč)

7

23

5

5

0

59

0,0047

11

11

0

34

0,0102

23

4

7

57

4,8421

0,44437

18

Zdilar Katarina
(OK Marina Kaštela)

8

15

3

8

4

27

0,006

4

5

0

12

0,0034

2

3

1

10

-3

0,40292

19

Bilogrević Tea
(OK Olimpik)

2

3

1

1

0

5

0,0032

0

2

0

2

0

0

0

0

0

0

0,35835

20

Kelava Barbara
(ŽOK Enna Vukovar)

3

6

1

3

0

12

0,002

0

3

0

6

0

2

0

1

7

0,8571

0,35031

21

Parčina Tonka
(OK Marina Kaštela)

5

6

0

0

0

1

0

1

1

0

3

0,0013

0

0

1

1

-6

0,3402

22

Baričević Antonia
(OK Marina Kaštela)

1

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0,33246

23

Stojan Ivana
(OK Kaštela Cemex)

1

1

0

1

0

1

0

0

0

0

0

0

0

0

0

0

0

0,33246

24

Grozdanić Marina
(OK Olimpik)

1

3

0

1

0

11

0

0

2

0

6

0

0

0

0

0

0

0,33246

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