SUPERLIGA (Z) 2022./2023.

Drugi krug - Doigravanje za prvaka Republike Hrvatske

SUPERLIGA (Z) 2022./2023. Best players MIDDLE BLOCKER
PlayerPlayedServeBlockAttackRanking
  MS#=/TotSv ind.#=/TotBl ind.#=/TotSp ind.Index

1

Mehić Aida
(HAOK MLADOST )

5

15

6

8

8

77

0,0215

9

17

1

35

0,0138

20

3

2

40

5,625

0,6181

2

Tomich Hana
(OK KITRO VARAŽDIN)

3

13

7

6

5

51

0,0212

3

7

0

10

0,0053

7

2

0

26

2,5

0,55434

3

Popić Astrid
(HAOK MLADOST )

5

15

5

10

2

64

0,0108

9

12

2

27

0,0138

19

2

1

36

6,6667

0,52614

4

Zdilar Jelena
(OK MARINA KAŠTELA)

2

6

1

4

1

18

0,0078

4

8

0

13

0,0156

6

2

1

12

1,5

0,50084

5

Deak Iva
(OK DINAMO)

5

16

4

7

4

46

0,0114

5

15

0

29

0,0071

28

4

5

57

5,3333

0,48462

6

Dežulović Lara
(OK MARINA KAŠTELA)

2

6

0

3

1

10

0,0039

4

3

0

9

0,0156

9

0

2

20

2,1

0,46728

7

Vidović Nola
(OK KITRO VARAŽDIN)

3

13

1

2

1

23

0,0035

6

11

0

17

0,0106

16

2

3

41

3,4878

0,43417

8

Drobac Katarina
(OK DINAMO)

5

16

1

10

2

38

0,0043

4

8

1

18

0,0057

8

2

4

24

1,3333

0,40513

9

Kollert Ivona
(OK DINAMO)

2

2

0

0

0

2

0

0

0

0

0

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