NLA Volleyball League Men 2017/2018

Main Phase

NLA Volleyball League Men 2017/2018 Best players OPPOSITE
PlayerPlayedServeServeBlockBlockAttackAttackRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.Index

1

Kvalen Jonas
(Lausanne UC I)

23

84

35

55

13

305

0.0124

0.0124

34

26

0

69

0.0088

0.0088

287

32

43

552

32.2609

32.2609

0.52569

2

Babic Luka
(Chênois Genève Volleyball I)

24

93

24

68

5

296

0.0072

0.0072

50

21

0

89

0.0124

0.0124

378

73

88

785

25.7083

25.7083

0.48388

3

Brzakovic Strahinja
(Volley Top Luzern)

24

80

25

48

7

235

0.0088

0.0088

39

22

3

72

0.0108

0.0108

339

64

83

610

25.1803

25.1803

0.48126

4

Steigmeier Sébastien
(Volley Amriswil I)

19

64

24

64

12

280

0.0124

0.0124

29

38

0

71

0.01

0.01

218

33

36

451

21.1441

21.1441

0.47779

5

Martinez Roa Jose Fabian
(biogas volley näfels I)

20

61

35

47

9

249

0.0139

0.0139

22

18

0

47

0.0069

0.0069

230

40

44

442

20.1493

20.1493

0.46353

6

Beal Mitch
(Burgstein Vitamine Volley Jona)

19

70

9

57

1

182

0.0032

0.0032

29

12

0

44

0.0092

0.0092

225

50

59

384

21.1458

21.1458

0.41862

7

Doranth Benedikt
(VBC Einsiedeln)

23

71

8

18

2

172

0.0028

0.0028

19

7

0

33

0.0054

0.0054

129

23

26

224

25.3571

25.3571

0.41541

8

Shank Daryll
(VBC Uni Bern)

18

60

6

41

3

176

0.0033

0.0033

19

15

3

53

0.0071

0.0071

257

47

57

547

16.7824

16.7824

0.38698

9

Rocamora Daniel
(TV Schönenwerd I)

1

3

0

2

1

18

0.0078

0.0078

2

0

1

7

0.0155

0.0155

11

1

1

22

1.2273

1.2273

0.38559

10

Roos Joel
(biogas volley näfels I)

18

39

7

31

2

104

0.0032

0.0032

10

23

0

42

0.0036

0.0036

96

15

20

195

12.2

12.2

0.34582

11

Wyss Martin
(VBC Einsiedeln)

22

72

20

40

5

250

0.0074

0.0074

21

16

1

52

0.0062

0.0062

55

10

13

107

21.5327

21.5327

0.32797

12

Roth Yves
(TV Schönenwerd I)

18

39

4

22

1

86

0.0017

0.0017

12

13

0

31

0.0041

0.0041

74

24

18

182

6.8571

6.8571

0.31755

13

Dos Santos Antonio
(Chênois Genève Volleyball I)

14

32

3

14

0

84

0.0013

0.0013

3

7

2

24

0.0013

0.0013

54

19

7

134

6.6866

6.6866

0.30026

14

Steinacher Marco
(Burgstein Vitamine Volley Jona)

1

1

0

0

0

0

0

0

1

0

0

1

0.0076

0.0076

0

1

0

1

-1

-1

0.29737

15

Kasper Kilian
(Burgstein Vitamine Volley Jona)

16

32

2

4

1

59

0.0013

0.0013

9

2

0

11

0.004

0.004

41

8

14

76

8

8

0.28594

16

Brühwiler Roman
(Volley Amriswil I)

9

13

1

6

0

27

0.0007

0.0007

3

6

0

9

0.0021

0.0021

21

6

2

37

4.5676

4.5676

0.27401

17

Willimann Reto
(Volley Top Luzern)

12

20

1

6

1

30

0.0011

0.0011

1

2

0

3

0.0005

0.0005

14

6

3

35

2.8571

2.8571

0.26854

18

Kaeser Jonathan
(Lausanne UC I)

17

32

1

5

0

50

0.0003

0.0003

3

6

0

11

0.001

0.001

28

6

5

59

9.2203

9.2203

0.26763

19

Rey Yannick
(VBC Uni Bern)

15

22

1

2

1

38

0.0009

0.0009

0

1

1

2

0

0

4

3

7

27

-4.8889

-4.8889

0.26537

20

Schnüriger Dominik
(VBC Einsiedeln)

2

5

0

0

0

0

0

0

0

0

0

0

0

0

0

1

2

3

-5

-5

0.2612

21

Tomasetti Jeremy
(Burgstein Vitamine Volley Jona)

1

3

0

0

0

3

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0.2612

22

Perezic Anes
(Volley Top Luzern)

2

2

0

0

0

2

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