MEVZA League Men 2022/2023

MEVZA League Men 2022/2023

MEVZA League Men 2022/2023 Best players LIBERO
PlayerPlayedReceptionRanking
  MatchesSets#=!/-+TotRc ind.Rc ind.Index

1

KRAJČO Matúš
(Rieker UJS KOMÁRNO (SVK))

7

15

23

0

8

0

19

13

63

0.5714

0.5714

0.4417

2

KOVAČIČ Jani
(ACH Volley LJUBLJANA (SLO))

7

20

40

4

21

2

13

14

94

0.5106

0.5106

0.44164

3

PERVAN Hrvoje
(HAOK Mladost ZAGREB m (CRO))

4

16

24

5

9

1

9

12

60

0.5

0.5

0.44163

4

BOŠNJAK Črtomir
(ACH Volley LJUBLJANA (SLO))

3

9

11

2

5

1

4

6

29

0.4828

0.4828

0.44161

5

KLOBUČAR Jan
(OK Calcit KAMNIK m (SLO))

1

3

7

1

0

2

7

8

25

0.48

0.48

0.44161

6

BUSAK VIDAKOVIĆ Tino
(MOK Mursa Osijek (CRO))

8

25

36

9

13

5

29

29

121

0.4215

0.4215

0.44155

7

KOŠENINA Alan
(OK Calcit KAMNIK m (SLO))

8

29

29

11

11

6

17

33

107

0.4206

0.4206

0.44155

8

REITER Jakob
(Union Raiffeisen WALDVIERTEL (AUT))

10

36

38

9

30

4

31

32

144

0.3958

0.3958

0.44153

9

JEVŠNIK Jaka
(OK Merkur MARIBOR)

2

7

10

1

8

4

11

14

48

0.3958

0.3958

0.44153

10

KUMER Žiga
(OK Merkur MARIBOR)

8

30

29

10

22

3

26

29

119

0.3782

0.3782

0.44151

11

SZYDLOWSKI Michal
(VCA AMSTETTEN NÖ (AUT))

10

36

47

9

24

9

47

36

172

0.3779

0.3779

0.44151

12

KRALJEVIĆ Luka
(MOK Mursa Osijek (CRO))

5

17

29

10

6

1

13

6

65

0.3692

0.3692

0.4415

13

KITZINGER Jacob
(SK Zadruga AICH/DOB (AUT))

9

29

27

6

12

5

32

21

103

0.3592

0.3592

0.44149

14

REPEK Marko
(HAOK Mladost ZAGREB m (CRO))

7

22

32

6

25

9

29

28

129

0.3488

0.3488

0.44148

15

ŠÍMA Matúš
(TJ Spartak MYJAVA (SVK))

8

26

31

17

18

6

25

27

124

0.2823

0.2823

0.44142

16

PATI-NAGY Šimon
(Rieker UJS KOMÁRNO (SVK))

6

22

28

10

15

4

30

12

99

0.2626

0.2626

0.4414

17

JURKOVIĆ Mario
(OK Mladost Ribola KAŠTELA (CRO))

9

29

44

19

27

10

28

23

151

0.2517

0.2517

0.44139

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