1. Bundesliga Männer

1. Bundesliga Männer - Playoffs

1. Bundesliga Männer Best players WING SPIKER
PlayerPlayedBlockBlockServeServeAttackAttackReceptionReceptionRanking
  MS#=/TotBl ind.Bl ind.#=/TotSv ind.Sv ind.#=/TotSp ind.Sp ind.#=/TotRc ind.Rc ind.Index

1

White Adam
(BERLIN RECYCLING Volleys)

10

37

7

11

10

53

0.0042

0.0042

12

30

10

138

0.0131

0.0131

125

23

20

264

11.4924

11.4924

88

15

16

362

0.3923

0.3923

0.30539

2

Grobelny Igor Oskar
(HYPO TIROL AlpenVolleys Haching)

5

19

6

4

5

22

0.007

0.007

8

15

2

68

0.0117

0.0117

68

7

14

130

6.8692

6.8692

39

7

10

176

0.375

0.375

0.30094

3

Yanagida Masahiro
(Volleyball Bisons Bühl)

2

6

2

4

0

8

0.0075

0.0075

3

9

0

22

0.0112

0.0112

17

5

5

34

1.2353

1.2353

6

0

2

21

0.381

0.381

0.28239

4

Kromm Robert
(BERLIN RECYCLING Volleys)

10

33

9

10

6

33

0.0054

0.0054

7

23

5

116

0.0072

0.0072

67

14

10

170

8.3471

8.3471

24

5

7

112

0.3929

0.3929

0.27579

5

Firkal Július
(SWD powervolleys DÜREN )

3

11

6

6

8

24

0.011

0.011

1

5

1

34

0.0037

0.0037

21

2

4

58

2.8448

2.8448

17

3

5

83

0.4217

0.4217

0.2757

6

Aciobanitei Robert Adrian
(United Volleys Rhein-Main )

5

15

4

0

2

6

0.0056

0.0056

4

12

3

56

0.0098

0.0098

47

9

14

92

3.913

3.913

34

5

4

108

0.4352

0.4352

0.27429

7

Kessel Cody
(SVG Lüneburg)

3

8

4

4

2

10

0.0087

0.0087

1

1

2

38

0.0065

0.0065

25

3

5

56

2.4286

2.4286

12

5

6

67

0.2687

0.2687

0.27294

8

Sossenheimer David
(VfB Friedrichshafen)

9

34

6

15

0

38

0.004

0.004

5

15

2

115

0.0046

0.0046

95

12

11

206

11.8835

11.8835

79

16

7

252

0.5

0.5

0.26832

9

Protopsaltis Athanasios
(VfB Friedrichshafen)

9

34

6

13

3

41

0.004

0.004

4

9

5

126

0.0059

0.0059

100

10

25

231

9.5671

9.5671

65

13

4

230

0.4652

0.4652

0.26651

10

Strohbach Tom
(TSV Herrsching)

3

10

3

0

2

5

0.0068

0.0068

1

6

1

30

0.0045

0.0045

23

10

5

59

1.3559

1.3559

29

6

3

108

0.5463

0.5463

0.25134

11

Pietruczuk Bartosz
(HYPO TIROL AlpenVolleys Haching)

5

19

4

2

3

19

0.0047

0.0047

2

4

3

69

0.0059

0.0059

38

12

10

101

3.0099

3.0099

26

5

13

135

0.3111

0.3111

0.24983

12

Karlitzek Moritz
(United Volleys Rhein-Main )

4

12

3

0

5

9

0.0051

0.0051

2

9

1

26

0.0051

0.0051

21

5

6

56

2.1429

2.1429

7

6

7

49

0.1429

0.1429

0.24605

13

Schwarz Sebastian
(United Volleys Rhein-Main )

5

13

1

0

2

3

0.0014

0.0014

3

13

2

45

0.007

0.007

43

0

4

91

5.5714

5.5714

9

5

2

70

0.3714

0.3714

0.24429

14

Gomes Jose Pedro
(TSV Herrsching)

3

10

1

0

8

9

0.0023

0.0023

0

3

4

36

0.009

0.009

20

8

4

60

1.3333

1.3333

4

7

0

30

0.0333

0.0333

0.24379

15

Sauss Romans
(SWD powervolleys DÜREN )

3

10

1

1

6

15

0.0018

0.0018

1

11

3

41

0.0073

0.0073

29

5

4

70

2.8571

2.8571

12

3

4

74

0.4459

0.4459

0.23994

16

Stöhr Tim
(Volleyball Bisons Bühl)

2

6

1

2

0

6

0.0037

0.0037

0

3

1

11

0.0037

0.0037

5

1

2

12

1

1

15

2

1

56

0.4643

0.4643

0.22793

17

Westphal Dirk
(SWD powervolleys DÜREN )

2

6

1

1

5

12

0.0027

0.0027

0

1

1

14

0.0027

0.0027

14

3

3

36

1.3333

1.3333

6

3

3

33

0.2727

0.2727

0.2225

18

Szeto Raymond
(SVG Lüneburg)

3

8

1

2

7

14

0.0022

0.0022

0

3

1

23

0.0022

0.0022

26

9

2

60

2

2

8

2

1

31

0.2903

0.2903

0.21948

19

Marshall Steven
(BERLIN RECYCLING Volleys)

6

18

2

1

3

9

0.0017

0.0017

0

7

0

21

0

0

23

5

5

55

4.2545

4.2545

27

2

5

88

0.4091

0.4091

0.21584

20

Kronthaler Niklas
(HYPO TIROL AlpenVolleys Haching)

4

8

0

1

0

2

0

0

1

1

1

10

0.003

0.003

4

0

1

6

4

4

3

2

1

12

0.25

0.25

0.20586

21

Pompe Matthias
(SVG Lüneburg)

3

5

0

2

0

3

0

0

0

2

0

7

0

0

5

4

1

16

0

0

1

1

1

15

0.4

0.4

0.19635

22

Balster Corbin
(Volleyball Bisons Bühl)

2

5

0

0

0

0

0

0

0

1

0

6

0

0

4

2

1

8

0.625

0.625

7

3

3

26

0.2692

0.2692

0.19614

23

Allik Karli
(SWD powervolleys DÜREN )

2

2

0

0

0

0

0

0

0

2

0

3

0

0

0

0

0

1

0

0

1

0

1

6

0.1667

0.1667

0.19596

24

Atanasov Martin
(VfB Friedrichshafen)

7

14

0

1

0

2

0

0

1

2

0

3

0.0008

0.0008

7

1

1

13

5.3846

5.3846

4

1

0

8

0.375

0.375

0.19569

25

Orthmann Felix
(Volleyball Bisons Bühl)

2

6

0

1

0

1

0

0

0

0

0

5

0

0

7

1

0

10

3.6

3.6

4

1

0

16

0.5

0.5

0.19569

26

Karlitzek Lorenz
(United Volleys Rhein-Main )

2

3

0

0

0

0

0

0

0

2

0

3

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0.19569

27

Bogachev Egor
(BERLIN RECYCLING Volleys)

2

2

0

0

0

0

0

0

0

1

0

1

0

0

0

1

0

1

-2

-2

0

0

0

1

0

0

0.19569

28

Chrtiansky Stefan
(HYPO TIROL AlpenVolleys Haching)

1

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

1

1

-1

-1

2

0

0

2

1

1

0.19569

Ranking Calculation

Wing-spiker

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)

  • Reception Index (Rc ind.): positive receptions minus negative receptions divided the total receptions (ranking is available only if the player has made at least three receptions 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 Receptions per set:  3

  • Minimum number of Spikes per set:  3

Serve

  • # serve ace

  • / half point

  • = serve error

Reception

  • # perfect

  • / half point

  • = error

Attack

  • # point

  • / blocked

  • = error

Block

  • # point

  • / Net touch

  • = hand out

Filters applied

  • Minimum number of Matches played:  1