1. Bundesliga Männer

Competition

1. Bundesliga Männer Best players OPPOSITE
PlayerPlayedServeServeBlockBlockAttackAttackRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.Index

1

Fitterer Eric
(SVG Lüneburg)

23

79

23

39

20

279

0.0117

0.0117

41

25

17

120

0.0111

0.0111

245

36

45

536

24.1716

24.1716

0.49488

2

Finger Michal
(VfB Friedrichshafen)

23

77

19

57

17

298

0.0095

0.0095

26

38

11

117

0.0068

0.0068

338

45

40

643

30.297

30.297

0.48695

3

Dünnes Christian
(United Volleys RheinMain)

23

78

22

38

20

302

0.0115

0.0115

23

21

27

121

0.0063

0.0063

349

36

58

754

26.3793

26.3793

0.4765

4

Carroll Paul
(BERLIN RECYCLING Volleys)

23

65

30

68

16

267

0.0126

0.0126

19

40

11

115

0.0052

0.0052

239

34

32

477

23.5744

23.5744

0.46261

5

Jungiewicz Slawomir
(TV Ingersoll Bühl)

24

86

28

85

6

291

0.0088

0.0088

28

33

7

93

0.0072

0.0072

345

71

63

787

23.0572

23.0572

0.44943

6

Verhoeff Rudy
(SWD powervolleys DÜREN)

24

80

14

35

12

232

0.0069

0.0069

16

14

7

55

0.0042

0.0042

221

46

31

476

24.2017

24.2017

0.42648

7

Gavenda Filip
(Netzhoppers Solwo Königspark KW)

23

84

11

54

8

248

0.0051

0.0051

25

29

14

95

0.0067

0.0067

307

52

70

709

21.9182

21.9182

0.41968

8

ter Maat Wouter
(BERLIN RECYCLING Volleys)

20

56

15

35

9

181

0.0076

0.0076

26

15

11

79

0.0082

0.0082

147

22

35

308

16.3636

16.3636

0.41574

9

Németh Ferenc
(TV Rottenburg)

19

57

12

29

13

186

0.0078

0.0078

16

13

1

36

0.005

0.005

226

39

36

462

18.6299

18.6299

0.40959

10

Prolingheuer Marvin
(SWD powervolleys DÜREN)

18

49

10

43

8

140

0.0062

0.0062

10

8

23

71

0.0034

0.0034

184

25

26

372

17.5188

17.5188

0.38629

11

Nibbrig Benny
(TSG Solingen Volleys)

22

65

17

18

5

170

0.0065

0.0065

17

15

17

56

0.005

0.005

157

34

38

396

13.952

13.952

0.37976

12

Metzger Sven
(TV Rottenburg)

23

61

8

34

10

129

0.0047

0.0047

12

21

4

41

0.0032

0.0032

152

30

36

386

13.5907

13.5907

0.35822

13

Tarantino Matthew
(TSV Herrsching )

13

41

10

35

3

147

0.0058

0.0058

6

9

9

28

0.0027

0.0027

146

39

34

319

9.3824

9.3824

0.34248

14

Orthmann Felix
(TV Ingersoll Bühl)

20

52

11

21

2

106

0.004

0.004

11

15

4

40

0.0034

0.0034

70

12

20

190

10.4

10.4

0.34092

15

Pörner Jannik
(SVG Lüneburg)

12

25

4

9

1

49

0.0025

0.0025

9

10

3

27

0.0046

0.0046

64

12

13

144

6.7708

6.7708

0.32376

16

Meissner Julian
(VCO Berlin)

7

24

2

5

3

60

0.0048

0.0048

6

5

5

23

0.0058

0.0058

38

13

13

128

2.25

2.25

0.32214

17

Malescha Daniel
(VfB Friedrichshafen)

25

69

15

30

14

162

0.0072

0.0072

8

7

3

25

0.002

0.002

93

19

15

187

21.7701

21.7701

0.30545

18

Mönnich Johannes
(VCO Berlin)

11

27

1

19

2

59

0.0019

0.0019

1

1

13

26

0.0006

0.0006

55

12

9

155

5.9226

5.9226

0.29699

19

Wolf Peter
(United Volleys RheinMain)

7

17

0

10

2

37

0.0017

0.0017

2

2

6

16

0.0017

0.0017

35

9

5

89

4.0112

4.0112

0.29327

20

Marks Christoph
(TSG Solingen Volleys)

3

11

0

9

0

15

0

0

2

1

2

6

0.0039

0.0039

18

9

3

42

1.5714

1.5714

0.28586

21

Lüddemann Florian
(VCO Berlin)

1

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0.2612

Ranking Calculation

Opposite

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:  3

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