Volleyball League Men 2016/2017

Playoff Final + Playoff 3.-4 + 5.-6. + 7.-8.

Volleyball League Men 2016/2017 Best players MIDDLE BLOCKER
PlayerPlayedBlockBlockServeServeAttackAttackRanking
  MS#=/TotBl ind.Bl ind.#=/TotSv ind.Sv ind.#=/TotSp ind.Sp ind.Index

1

Hänggi Christoph
(TV Schönenwerd I)

1

3

4

1

0

5

0.0308

0.0308

0

0

1

9

0.0077

0.0077

5

1

0

9

1.3333

1.3333

0.5346

2

Hensler Ben
(Volley Top Luzern)

2

7

9

1

0

12

0.0261

0.0261

1

1

0

18

0.0029

0.0029

11

0

0

14

5.5

5.5

0.48991

3

Frame Christopher
(TV Schönenwerd I)

1

3

2

0

0

3

0.0154

0.0154

1

0

1

13

0.0154

0.0154

3

0

0

7

1.2857

1.2857

0.48125

4

Häfliger Marcel
(Volley Top Luzern)

2

7

5

1

0

7

0.0145

0.0145

3

2

0

15

0.0087

0.0087

14

2

0

17

4.9412

4.9412

0.44894

5

Van Berkel Lucas
(Volley Amriswil I)

3

10

5

7

0

12

0.011

0.011

3

3

3

47

0.0132

0.0132

16

4

2

29

3.4483

3.4483

0.44766

6

Ljubicic Aleksandar
(Volley Amriswil I)

3

10

8

11

0

19

0.0175

0.0175

1

2

1

28

0.0044

0.0044

10

1

3

22

2.7273

2.7273

0.44194

7

Botas Dos Santos Rui
(Chênois Genève Volleyball I)

2

7

6

2

0

11

0.0174

0.0174

1

2

0

17

0.0029

0.0029

11

0

0

15

5.1333

5.1333

0.43776

8

Ehrat Samuel
(biogas volley näfels I)

3

10

5

5

0

10

0.011

0.011

3

3

2

29

0.011

0.011

10

1

3

17

3.5294

3.5294

0.43699

9

Walzer Marc
(biogas volley näfels I)

3

10

6

7

0

13

0.0132

0.0132

0

1

1

31

0.0022

0.0022

14

1

3

23

4.3478

4.3478

0.40838

10

Stadelmann Jonas
(Burgstein Vitamine Volley Jona)

1

4

3

0

0

3

0.0141

0.0141

0

1

0

13

0

0

10

2

2

14

1.7143

1.7143

0.39884

11

Beeler Luca
(Burgstein Vitamine Volley Jona)

1

5

0

0

0

0

0

0

3

3

0

18

0.0141

0.0141

15

3

2

20

2.5

2.5

0.38708

12

Lux Jan
(VBC Einsiedeln)

1

5

2

0

0

2

0.0094

0.0094

0

5

0

11

0

0

10

1

0

11

4.0909

4.0909

0.37612

13

Jaquet Damien
(Chênois Genève Volleyball I)

2

7

1

0

0

2

0.0029

0.0029

2

2

0

17

0.0058

0.0058

5

0

0

8

4.375

4.375

0.36745

14

Stevanovic Radisa
(Lausanne UC I)

1

3

0

3

0

5

0

0

0

1

1

9

0.0077

0.0077

6

0

2

10

1.2

1.2

0.35524

15

Wyss Martin
(VBC Einsiedeln)

1

5

0

0

0

0

0

0

1

3

0

16

0.0047

0.0047

10

2

1

13

2.6923

2.6923

0.34394

16

Roosewelt De Oliveira Vasconcelos Filho
(biogas volley näfels I)

2

3

0

2

0

2

0

0

1

2

0

8

0.0035

0.0035

3

1

1

6

0.5

0.5

0.33523

17

Brändli Thomas
(Volley Amriswil I)

3

7

0

0

0

0

0

0

0

2

0

10

0

0

0

0

0

0

0

0

0.31911

18

Bürgi Marco
(Burgstein Vitamine Volley Jona)

1

4

0

0

0

0

0

0

0

0

0

6

0

0

0

0

0

0

0

0

0.31911

19

Birchler Michael
(VBC Einsiedeln)

1

2

0

0

0

0

0

0

0

0

0

1

0

0

0

0

0

0

0

0

0.31911

20

Riedi Gian-Reto
(Burgstein Vitamine Volley Jona)

1

1

0

0

0

0

0

0

0

0

0

2

0

0

0

0

0

0

0

0

0.31911

21

Altanov Vassil
(Lausanne UC I)

1

3

0

0

0

0

0

0

0

0

0

9

0

0

2

2

2

7

-0.8571

-0.8571

0.31785

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