MEVZA League Men 2023/2024

MEVZA League Men 2023/2024

MEVZA League Men 2023/2024 Best players MIDDLE BLOCKER
PlayerPlayedBlockBlockServeServeAttackAttackRanking
  MS#=/TotBl ind.Bl ind.#=/TotSv ind.Sv ind.#=/TotSp ind.Sp ind.Index

1

KRŽIČ Janž Janez
(OK i-Vent MARIBOR)

1

3

4

2

0

7

0.0336

0.0336

4

0

1

15

0.042

0.042

4

0

0

8

1.5

1.5

0.70949

2

PAVLOVIĆ Uroš
(OK Calcit KAMNIK m (SLO))

11

39

36

33

4

102

0.0195

0.0195

12

11

9

159

0.0114

0.0114

48

7

2

93

16.3548

16.3548

0.51154

3

NIKOLIĆ Uroš
(OK Calcit KAMNIK m (SLO))

11

41

35

27

2

104

0.019

0.019

10

19

4

110

0.0076

0.0076

65

6

4

97

23.2474

23.2474

0.50111

4

ZEMAN Michal
(TJ Spartak MYJAVA (SVK))

10

38

28

68

3

146

0.0163

0.0163

3

11

6

138

0.0052

0.0052

73

4

6

119

20.1176

20.1176

0.46816

5

KOHÚT Emmanuel
(Rieker UJS KOMÁRNO (SVK))

8

28

13

39

1

75

0.0097

0.0097

11

19

3

101

0.0104

0.0104

41

3

5

66

14

14

0.4446

6

FINK Miha
(OK i-Vent MARIBOR)

11

41

19

27

2

82

0.0102

0.0102

11

12

4

183

0.008

0.008

50

7

4

97

16.4845

16.4845

0.43958

7

MAČUHA Filip
(Rieker UJS KOMÁRNO (SVK))

8

26

15

23

0

61

0.0112

0.0112

8

15

3

90

0.0082

0.0082

29

2

4

53

11.283

11.283

0.43764

8

VLAHOVIĆ Simon Luka
(OK Ribola KAŠTELA (CRO))

8

26

15

22

1

63

0.0125

0.0125

5

10

3

87

0.0067

0.0067

40

10

8

79

7.2405

7.2405

0.43138

9

GAJIĆ Tihomir
(HAOK Mladost ZAGREB m (CRO))

8

27

19

32

1

77

0.0135

0.0135

3

4

0

109

0.0021

0.0021

47

4

1

68

16.6765

16.6765

0.43067

10

HANÚSEK Branislav
(Rieker UJS KOMÁRNO (SVK))

5

15

11

16

3

39

0.0132

0.0132

2

9

2

42

0.0048

0.0048

18

3

1

33

6.3636

6.3636

0.42429

11

AMBRUS Bence
(MAV Elore-Foxconn (HUN))

6

17

15

16

0

49

0.015

0.015

0

2

2

69

0.002

0.002

22

4

0

39

7.8462

7.8462

0.42411

12

ANEGAY Yousri
(VCA AMSTETTEN NÖ (AUT))

6

21

12

22

2

57

0.0126

0.0126

2

8

2

68

0.0042

0.0042

38

2

7

65

9.3692

9.3692

0.42333

13

JAKOPEC Sven
(HAOK Mladost ZAGREB m (CRO))

8

26

18

26

0

72

0.0128

0.0128

2

8

2

93

0.0028

0.0028

26

2

3

52

10.5

10.5

0.41972

14

DZENIS Jekabs
(SK Zadruga AICH/DOB (AUT))

10

28

13

21

1

41

0.0075

0.0075

11

15

3

105

0.008

0.008

29

5

1

51

12.6275

12.6275

0.41742

15

VILORIA MARQUEZ Paul
(MOK Mursa Osijek (CRO))

9

32

14

37

0

78

0.0093

0.0093

6

15

3

115

0.006

0.006

37

4

8

72

11.1111

11.1111

0.41532

16

MILIČ Blazo
(HAOK Mladost ZAGREB m (CRO))

4

12

8

15

1

37

0.0124

0.0124

3

5

0

42

0.0047

0.0047

10

2

3

29

2.069

2.069

0.41215

17

BAIOA SINFRONIO Miguel
(SK Zadruga AICH/DOB (AUT))

11

38

16

42

1

92

0.0085

0.0085

4

23

3

116

0.0037

0.0037

48

8

9

81

14.5432

14.5432

0.40599

18

PERILLUS Sten
(MOK Mursa Osijek (CRO))

7

22

14

17

0

60

0.0118

0.0118

0

7

1

62

0.0008

0.0008

25

3

4

55

7.2

7.2

0.39856

19

EKE Péter
(MAV Elore-Foxconn (HUN))

8

23

11

14

0

48

0.0087

0.0087

4

8

2

81

0.0048

0.0048

10

3

1

25

5.52

5.52

0.39713

20

DEREJCZYK Ignacy
(VCA AMSTETTEN NÖ (AUT))

9

25

16

14

0

54

0.0112

0.0112

3

8

1

71

0.0028

0.0028

15

8

4

45

1.6667

1.6667

0.39555

21

ZEMAN Ondrej
(TJ Spartak MYJAVA (SVK))

11

36

12

43

0

95

0.0065

0.0065

2

11

4

104

0.0032

0.0032

36

6

6

66

13.0909

13.0909

0.38952

22

OMAN Jurij
(OK Calcit KAMNIK m (SLO))

1

1

0

0

0

0

0

0

2

0

0

4

0.0149

0.0149

0

0

0

0

0

0

0.38702

23

SZABÓ Alpár
(SK Zadruga AICH/DOB (AUT))

8

24

11

20

1

59

0.0081

0.0081

1

4

3

57

0.0029

0.0029

15

2

6

35

4.8

4.8

0.38369

24

MARTINOVIĆ Ivan
(OK Ribola KAŠTELA (CRO))

5

16

6

13

0

30

0.008

0.008

2

9

1

57

0.004

0.004

3

2

0

14

1.1429

1.1429

0.38055

25

HÜTHER Franz
(VCA AMSTETTEN NÖ (AUT))

7

17

7

13

0

34

0.0067

0.0067

1

6

2

60

0.0029

0.0029

24

5

3

42

6.4762

6.4762

0.37833

26

ŠUNJO Gabriel
(MOK Mursa Osijek (CRO))

9

21

7

10

0

27

0.0046

0.0046

2

8

1

61

0.002

0.002

23

5

4

44

6.6818

6.6818

0.36306

27

TOMANÓCZY Bálint
(MAV Elore-Foxconn (HUN))

8

26

4

32

1

64

0.003

0.003

1

4

1

92

0.0015

0.0015

17

3

1

42

8.0476

8.0476

0.35428

28

LAZAR Luka
(OK Calcit KAMNIK m (SLO))

11

29

2

1

0

8

0.0011

0.0011

4

8

2

51

0.0033

0.0033

5

0

1

7

16.5714

16.5714

0.33915

29

EISENHOFER Niklas
(VCA AMSTETTEN NÖ (AUT))

5

6

2

3

0

10

0.0024

0.0024

1

6

0

12

0.0012

0.0012

2

0

0

5

2.4

2.4

0.33689

30

VODUŠEK Timotej
(OK i-Vent MARIBOR)

10

18

1

6

0

17

0.0006

0.0006

0

7

0

27

0

0

12

0

4

19

7.5789

7.5789

0.33356

31

POLLÁK Andrej
(TJ Spartak MYJAVA (SVK))

9

21

5

12

1

26

0.0033

0.0033

0

10

0

38

0

0

5

4

4

24

-2.625

-2.625

0.33235

32

FORRÓ Balázs
(Rieker UJS KOMÁRNO (SVK))

8

14

2

5

1

17

0.0014

0.0014

0

4

1

22

0.0007

0.0007

6

2

0

9

6.2222

6.2222

0.3297

33

ŠUSTEK Roko
(MOK Mursa Osijek (CRO))

2

3

0

0

0

0

0

0

0

0

0

2

0

0

0

0

0

0

0

0

0.31911

34

PARČINA Andrija
(OK Ribola KAŠTELA (CRO))

1

2

0

0

0

0

0

0

0

1

0

4

0

0

0

0

0

0

0

0

0.31911

35

TOPLIŠEK Maj
(OK i-Vent MARIBOR)

1

1

0

0

0

0

0

0

0

0

0

1

0

0

0

0

0

0

0

0

0.31911

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