1. Bundesliga Männer

1. Bundesliga Männer - Hauptrunde

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)

20

67

20

34

17

233

0.0117

0.0117

35

25

10

96

0.0111

0.0111

203

28

36

439

21.2141

21.2141

0.48012

2

Carroll Paul
(BERLIN RECYCLING Volleys)

15

42

25

44

13

188

0.0167

0.0167

11

26

7

67

0.0048

0.0048

153

21

18

294

16.2857

16.2857

0.44876

3

Finger Michal
(VfB Friedrichshafen)

16

54

15

39

12

210

0.0102

0.0102

17

22

6

71

0.0064

0.0064

240

31

27

449

21.8886

21.8886

0.4477

4

Dünnes Christian
(United Volleys RheinMain)

18

60

16

28

15

219

0.0111

0.0111

18

13

20

83

0.0064

0.0064

260

24

49

556

20.1799

20.1799

0.44406

5

Jungiewicz Slawomir
(TV Ingersoll Bühl)

20

72

23

74

6

233

0.0089

0.0089

24

24

5

75

0.0073

0.0073

272

52

53

628

19.1465

19.1465

0.4316

6

ter Maat Wouter
(BERLIN RECYCLING Volleys)

16

42

13

26

8

144

0.0086

0.0086

22

8

9

59

0.009

0.009

111

18

21

229

13.2052

13.2052

0.41081

7

Malescha Daniel
(VfB Friedrichshafen)

18

50

11

20

13

128

0.0084

0.0084

8

4

3

20

0.0028

0.0028

81

15

9

151

18.8742

18.8742

0.40167

8

Verhoeff Rudy
(SWD powervolleys DÜREN)

19

61

9

31

9

170

0.0061

0.0061

15

12

5

44

0.0051

0.0051

172

39

24

362

18.3674

18.3674

0.39913

9

Prolingheuer Marvin
(SWD powervolleys DÜREN)

14

39

10

38

8

125

0.008

0.008

8

7

18

59

0.0036

0.0036

156

19

19

306

15.0392

15.0392

0.38563

10

Németh Ferenc
(TV Rottenburg)

16

47

9

22

8

148

0.0063

0.0063

13

8

1

25

0.0048

0.0048

179

31

30

371

14.9488

14.9488

0.38265

11

Gavenda Filip
(Netzhoppers Solwo Königspark KW)

18

65

8

38

6

195

0.0049

0.0049

13

17

14

65

0.0045

0.0045

224

40

46

542

16.5498

16.5498

0.38031

12

Nibbrig Benny
(TSG Solingen Volleys)

17

48

13

12

3

109

0.0062

0.0062

12

7

16

42

0.0047

0.0047

101

20

23

251

11.0916

11.0916

0.36301

13

Metzger Sven
(TV Rottenburg)

17

47

7

25

8

97

0.0054

0.0054

10

13

3

30

0.0036

0.0036

105

19

28

277

9.8412

9.8412

0.34704

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

Tarantino Matthew
(TSV Herrsching )

11

35

8

33

3

124

0.0056

0.0056

6

8

5

23

0.0031

0.0031

124

31

32

274

7.792

7.792

0.33643

16

Pörner Jannik
(SVG Lüneburg)

11

24

4

9

1

48

0.0028

0.0028

9

10

2

25

0.0051

0.0051

63

10

13

137

7.0073

7.0073

0.32907

17

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

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