1. Bundesliga Männer

1. Bundesliga Männer - Hauptrunde

1. Bundesliga Männer Best players MIDDLE BLOCKER
PlayerPlayedBlockBlockServeServeAttackAttackRanking
  MS#=/TotBl ind.Bl ind.#=/TotSv ind.Sv ind.#=/TotSp ind.Sp ind.Index

1

Brown Andre
(TSV Herrsching)

20

82

68

52

32

199

0.0179

0.0179

18

42

12

287

0.0079

0.0079

163

24

17

288

34.7361

34.7361

0.51556

2

Schlien Michel
(SVG Lüneburg)

19

73

48

50

19

184

0.0156

0.0156

9

28

11

249

0.0065

0.0065

101

10

9

173

34.6012

34.6012

0.4946

3

Kevorken Scott Michael
(VfB Friedrichshafen)

20

67

29

24

9

101

0.0096

0.0096

20

28

16

286

0.0119

0.0119

81

6

5

129

36.3566

36.3566

0.48937

4

Broshog Tim
(SWD powervolleys Düren)

19

74

43

27

77

204

0.0129

0.0129

8

25

17

264

0.0075

0.0075

112

8

6

194

37.3814

37.3814

0.48864

5

Baxpöhler Noah
(SVG Lüneburg)

18

69

34

51

22

171

0.0115

0.0115

21

42

12

264

0.0111

0.0111

75

10

11

137

27.1971

27.1971

0.48092

6

Okolic Aleksandar
(BERLIN RECYCLING Volleys)

17

52

35

21

23

123

0.0131

0.0131

11

24

12

205

0.0086

0.0086

83

7

6

137

26.5693

26.5693

0.47669

7

Frances Pedro Henrique
(HYPO TIROL AlpenVolleys Haching)

20

77

38

62

15

194

0.011

0.011

9

17

8

260

0.0049

0.0049

128

11

8

200

41.965

41.965

0.47236

8

Sprung Paul
(NETZHOPPERS KW-Bestensee)

18

64

34

66

4

140

0.0116

0.0116

15

36

6

207

0.0072

0.0072

107

9

6

189

31.1534

31.1534

0.46846

9

Collin Philipp
(VfB Friedrichshafen)

16

50

31

28

19

138

0.0127

0.0127

12

11

8

183

0.0082

0.0082

74

6

8

132

22.7273

22.7273

0.4663

10

Vigrass Graham
(BERLIN RECYCLING Volleys)

18

60

36

14

26

154

0.0122

0.0122

15

30

5

211

0.0068

0.0068

103

10

15

190

24.6316

24.6316

0.45932

11

Nilsson Wilhelm
(TSV Herrsching)

20

77

41

35

22

143

0.0108

0.0108

11

39

13

282

0.0063

0.0063

89

6

18

162

30.8951

30.8951

0.45895

12

Mayaula Nzeza Magloire
(Volley Bisons Bühl)

16

60

25

71

11

149

0.0101

0.0101

8

16

6

180

0.0056

0.0056

109

10

10

181

29.5028

29.5028

0.44917

13

Krick Tobias
(United Volleys RheinMain )

19

70

35

22

32

129

0.0105

0.0105

8

11

8

222

0.0048

0.0048

92

12

12

169

28.1657

28.1657

0.44507

14

Andrei Michael
(SWD powervolleys Düren)

19

72

35

30

67

229

0.0107

0.0107

5

19

7

187

0.0037

0.0037

77

7

13

150

27.36

27.36

0.43962

15

Wilmsen Lars
(TV Rottenburg)

19

64

30

23

35

142

0.011

0.011

6

7

6

193

0.0044

0.0044

91

11

15

175

23.7714

23.7714

0.4392

16

van Werkhoven Mart
(Bergische Volleys)

20

66

33

38

25

118

0.0107

0.0107

5

12

3

159

0.0026

0.0026

92

5

11

176

28.5

28.5

0.43635

17

Günthör Jakob
(VfB Friedrichshafen)

16

48

30

45

1

123

0.0123

0.0123

2

11

3

81

0.0021

0.0021

60

8

4

97

23.7526

23.7526

0.43524

18

Duarte Souza Da Silva Douglas
(HYPO TIROL AlpenVolleys Haching)

19

69

25

53

23

197

0.0075

0.0075

10

15

7

285

0.0051

0.0051

102

7

13

184

30.75

30.75

0.43376

19

Escher Georg
(United Volleys RheinMain )

18

61

26

22

27

112

0.0081

0.0081

8

37

6

204

0.0044

0.0044

62

12

7

110

23.8455

23.8455

0.42192

20

Pettersson David
(Volley Bisons Bühl)

15

52

17

42

10

112

0.0075

0.0075

6

20

4

150

0.0044

0.0044

63

10

2

115

23.0609

23.0609

0.41774

21

Zoodsma Rutger
(Bergische Volleys)

19

62

21

25

11

71

0.0071

0.0071

11

16

4

152

0.0051

0.0051

80

10

13

169

20.9112

20.9112

0.41497

22

Heinecke Daniel
(NETZHOPPERS KW-Bestensee)

18

63

21

44

6

118

0.0073

0.0073

7

30

2

203

0.0031

0.0031

68

12

5

123

26.122

26.122

0.41494

23

Benz Andrew
(Bergische Volleys)

18

54

14

19

16

61

0.0051

0.0051

6

18

0

144

0.0022

0.0022

79

8

8

135

25.2

25.2

0.39602

24

Henning Paul
(TV Rottenburg)

19

57

11

17

25

95

0.004

0.004

9

32

3

158

0.0044

0.0044

51

10

4

106

19.8962

19.8962

0.39232

25

Bauer Lukas
(United Volleys RheinMain )

14

40

10

15

19

71

0.0043

0.0043

9

11

2

124

0.0047

0.0047

45

3

5

82

18.0488

18.0488

0.39219

26

Nagel Friederich
(TV Rottenburg)

11

33

7

15

7

43

0.0043

0.0043

6

19

3

102

0.0055

0.0055

39

5

2

68

15.5294

15.5294

0.39179

27

Krage Florian
(SVG Lüneburg)

5

13

7

11

7

37

0.0079

0.0079

3

16

0

48

0.0034

0.0034

12

2

1

19

6.1579

6.1579

0.38688

28

Klein Georg
(BERLIN RECYCLING Volleys)

15

40

10

19

12

71

0.0042

0.0042

6

15

2

131

0.0034

0.0034

32

4

9

71

10.7042

10.7042

0.37369

29

Goralik Yannick
(Volley Bisons Bühl)

16

30

5

21

5

48

0.0019

0.0019

3

4

1

73

0.0016

0.0016

17

1

1

32

14.0625

14.0625

0.35783

30

Grabmüller Nicolai
(TSV Herrsching)

17

45

4

5

4

18

0.0012

0.0012

6

10

1

74

0.0021

0.0021

23

7

4

48

11.25

11.25

0.35214

31

Zuidberg Chris
(Volley Bisons Bühl)

6

14

2

12

2

21

0.0021

0.0021

1

7

2

28

0.0031

0.0031

8

3

1

16

3.5

3.5

0.3494

32

Beer Marek
(HYPO TIROL AlpenVolleys Haching)

13

25

8

15

5

37

0.0037

0.0037

0

5

0

41

0

0

12

1

4

34

5.1471

5.1471

0.3466

33

Zachrich Jaromir
(SWD powervolleys Düren)

17

33

4

1

10

28

0.0013

0.0013

1

3

4

60

0.0017

0.0017

15

3

0

30

13.2

13.2

0.33351

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