HRVATSKI ODBOJKAŠKI KUP SNJEŽANE UŠIĆ 2023/24

HRVATSKI ODBOJKAŠKI KUP SNJEŽANE UŠIĆ 2023/24

Libero

HRVATSKI ODBOJKAŠKI KUP SNJEŽANE UŠIĆ 2023/24 Best players LIBERO
PlayerPlayedReceptionRanking
  MatchesSets#=!/-+TotRc ind.Rc ind.Index

1

Gaber Morena
(OK Pula)

1

3

3

1

0

1

5

7

17

0,4706

0,4706

0,30332

2

Klarić Nikolina
(OK Split (Ž))

1

3

7

1

0

1

7

3

19

0,4211

0,4211

0,30318

3

Stošić Carla
(OK Dinamo)

3

12

11

5

14

1

12

21

64

0,4062

0,4062

0,30314

4

Ćavar Tereza
(OK Marina Kaštela)

1

4

5

0

9

0

5

3

22

0,3636

0,3636

0,30302

5

Terze Lucijana
(OK Marina Kaštela)

1

3

2

1

3

0

6

4

16

0,3125

0,3125

0,30287

6

Čuček Ema
(OK Don Bosco)

1

3

2

1

3

0

4

3

13

0,3077

0,3077

0,30286

7

Dugandžić Petra
(ŽOK Enna Vukovar)

2

6

6

0

16

1

1

3

27

0,2963

0,2963

0,30283

8

Smoljan Matea
(HAOK Mladost (Ž))

4

13

7

2

15

2

14

10

50

0,26

0,26

0,30273

9

Dugi Marija
(OK Dinamo)

1

4

3

3

1

1

10

7

25

0,24

0,24

0,30267

10

Zubanović Renea
(OK Split (Ž))

2

4

8

5

3

1

2

3

22

0,2273

0,2273

0,30263

11

Županić Nika
(ŽOK Osijek)

1

3

6

3

2

1

7

3

22

0,2273

0,2273

0,30263

12

Radić Bruna
(OK Brda)

1

4

5

3

7

1

4

4

24

0,2083

0,2083

0,30258

13

Krznarić Ana
(ŽOK Vinkovci)

1

3

5

1

0

2

7

1

16

0,1875

0,1875

0,30252

14

Volarić Mia
(HAOK Rijeka CO)

2

8

3

5

6

3

10

12

39

0,1795

0,1795

0,3025

15

Kovčo Tia
(ŽOK Ribola Kaštela)

2

6

3

1

5

2

6

3

20

0,15

0,15

0,30241

16

Grubešić Lora
(OK Kelteks (Ž))

2

6

3

3

5

1

21

5

38

0,1053

0,1053

0,30229

17

Boršić Anja
(OK Olimpik)

1

3

1

4

2

1

9

6

23

0,087

0,087

0,30224

18

Kristić Marija
(ŽOK Dubrovnik)

1

4

2

3

10

2

13

4

34

0,0294

0,0294

0,30207

19

Zagorec Ana
(OK Nebo)

1

4

4

5

1

2

2

2

16

-0,0625

-0,0625

0,30181

Ranking Calculation

Libero

the ranking takes into account:

  • Reception Index (Rc ind.): positive receptions minus negative receptions divided the total receptions

The Skill is “weighted” multiplying the index with a specific coefficients per skill and per role and successively multiplied with another coefficient which determines the impact of the libero role on the game, in other words the importance of the role towards the win probability.

Filters applied

  • Minimum number of Matches played:  1

  • Minimum number of Receptions per set:  3

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