DenizBank AG Volley League Men 2019/20

2. Phase

DenizBank AG Volley League Men 2019/20 Best players MIDDLE BLOCKER
SpielerGespieltBlockBlockServiceServiceAngriffAngriffRanking
  MS#=/TotBl ind.Bl ind.#=/TotSv ind.Sv ind.#=/TotSp ind.Sp ind.Index

1

MIRANDA DE ALCANTARA Victor Hugo
(Aich/Dob)

6

23

18

19

0

56

0,0178

0,0178

7

23

3

87

0,0099

0,0099

44

3

6

72

11,1806

11,1806

0,48465

2

UNTERBERGER Clemens
(UVC Graz m)

1

4

3

2

0

8

0,0179

0,0179

2

1

0

15

0,0119

0,0119

1

0

0

4

1

1

0,47814

3

ICHOVSKI Philip
(Amstetten)

5

17

15

8

0

30

0,0191

0,0191

5

17

1

78

0,0077

0,0077

19

3

1

33

7,7273

7,7273

0,47599

4

BORRIS Maciej
(Waldviertel)

6

23

19

34

0

74

0,0179

0,0179

7

19

0

74

0,0066

0,0066

44

7

5

74

9,9459

9,9459

0,46735

5

DE VRIES Niels
(Waldviertel)

6

22

22

28

0

67

0,0208

0,0208

3

17

0

67

0,0028

0,0028

30

2

3

51

10,7843

10,7843

0,46682

6

KÜHL Lukas
(UVC Graz m)

4

13

12

10

0

27

0,0194

0,0194

3

10

0

55

0,0049

0,0049

21

1

3

37

5,973

5,973

0,46102

7

SCHOBER Leo William
(Amstetten)

6

21

18

16

1

47

0,0187

0,0187

1

6

0

80

0,001

0,001

39

3

4

74

9,0811

9,0811

0,44324

8

PETSCHNIG David Marius
(VBK Klagenf)

6

20

15

8

0

32

0,0165

0,0165

3

11

0

57

0,0033

0,0033

28

8

4

52

6,1538

6,1538

0,43647

9

REITER David
(UVC Graz m)

5

19

10

20

0

50

0,0115

0,0115

5

4

2

61

0,0081

0,0081

29

3

2

54

8,4444

8,4444

0,43425

10

BAUER Alexander
(Weiz)

6

18

10

5

0

21

0,0118

0,0118

5

8

1

70

0,0071

0,0071

15

3

1

32

6,1875

6,1875

0,4271

11

SLOMP DRAGO Franco Augusto
(Amstetten)

6

21

14

6

0

27

0,0146

0,0146

2

6

0

68

0,0021

0,0021

70

21

11

135

5,9111

5,9111

0,41868

12

HRUŠKA Michal
(Aich/Dob)

3

11

6

13

0

30

0,0099

0,0099

3

2

0

41

0,0049

0,0049

12

2

1

18

5,5

5,5

0,40456

13

GRABMÜLLER Nicolai
(Aich/Dob)

5

15

8

11

0

26

0,01

0,01

2

1

0

46

0,0025

0,0025

20

1

0

27

10,5556

10,5556

0,4019

14

BREIT Felix
(Ried/Innkr)

6

19

10

6

0

24

0,0114

0,0114

1

9

1

62

0,0023

0,0023

16

5

5

40

2,85

2,85

0,39611

15

GROENENDIJK Douglas
(Weiz)

6

19

5

3

0

19

0,0059

0,0059

4

5

0

59

0,0047

0,0047

16

0

4

35

6,5143

6,5143

0,3825

16

WASILEWSKI Alan
(Ried/Innkr)

6

20

7

16

0

33

0,008

0,008

0

2

1

56

0,0011

0,0011

36

6

5

74

6,7568

6,7568

0,37773

17

WULTSCH Mathias Daniel
(VBK Klagenf)

6

20

6

5

1

23

0,0066

0,0066

2

13

0

72

0,0022

0,0022

9

3

3

32

1,875

1,875

0,36742

18

STEIDL Ulve
(UVC Graz m)

1

3

1

1

0

4

0,0076

0,0076

0

1

0

3

0

0

5

1

2

8

0,75

0,75

0,36108

19

IMŠIROVIĆ Kemal
(UVC Graz m)

4

11

2

6

0

13

0,003

0,003

0

4

0

28

0

0

14

1

1

23

5,7391

5,7391

0,34352

20

JAJTIC Sandro
(Ried/Innkr)

5

10

2

1

0

4

0,0027

0,0027

1

3

0

26

0,0013

0,0013

5

1

0

14

2,8571

2,8571

0,3433

21

SCHLAGER Manuel
(Weiz)

4

8

1

1

0

2

0,0017

0,0017

1

2

0

14

0,0017

0,0017

1

2

1

7

-2,2857

-2,2857

0,33589

22

MAYERHOFER Stefan
(Waldviertel)

4

9

1

2

0

4

0,0015

0,0015

0

4

0

18

0

0

3

2

0

7

1,2857

1,2857

0,3268

23

BALDAUF Simon
(VBK Klagenf)

1

2

0

0

0

0

0

0

0

0

0

2

0

0

0

0

0

0

0

0

0,31911

Ranking Berechnung

Mittelblocker

Das Ranking berücksichtigt:

  • 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

Service

  • # Service Ass

  • / half point

  • = Service Fehler

Angriff

  • # Punkt

  • / blockiert

  • = Fehler

Block

  • # Punkt

  • / Netzberührung

  • = Blockout

Filters applied

  • Minimum number of Matches played:  1