Mobiliar Volley Cup

Mobiliar Volley Cup

Mobiliar Volley Cup Best players MIDDLE BLOCKER
PlayerPlayedServeServeBlockBlockAttackAttackRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.Index

1

Matter Madlaina
(Sm'Aesch Pfeffingen)

1

4

2

1

2

12

0.0245

0.0245

4

2

0

7

0.0245

0.0245

4

2

0

12

0.6667

0.6667

0.69692

2

Becker Kerley
(TS Volley Düdingen)

1

3

0

1

3

10

0.0229

0.0229

3

5

0

11

0.0229

0.0229

9

1

0

14

1.7143

1.7143

0.67676

3

Rothenbuehler Larissa
(Hôtel Christal VFM)

1

3

2

1

0

10

0.0163

0.0163

2

4

0

7

0.0163

0.0163

0

0

0

0

0

0

0.57765

4

Halter Martina
(Viteos NUC)

4

12

6

5

1

45

0.0136

0.0136

8

10

0

25

0.0156

0.0156

16

2

1

27

5.7778

5.7778

0.56093

5

Holaskova Katerina
(VC Kanti Schaffhausen)

1

3

1

0

0

9

0.0078

0.0078

3

1

0

7

0.0234

0.0234

4

2

0

8

0.75

0.75

0.55142

6

Girard Ségolène
(Viteos NUC)

4

12

2

8

1

37

0.0058

0.0058

10

8

0

23

0.0195

0.0195

14

2

3

38

2.8421

2.8421

0.51171

7

Borelli Francesca
(Volley Lugano)

2

7

5

3

0

22

0.0169

0.0169

1

6

0

7

0.0034

0.0034

11

1

6

23

1.2174

1.2174

0.50188

8

Todorova Mira
(Volero Zürich)

4

13

4

3

1

35

0.0092

0.0092

6

17

0

32

0.0111

0.0111

33

4

2

52

6.75

6.75

0.49421

9

Schottroff Gabi
(Volero Zürich)

4

13

2

6

1

45

0.0055

0.0055

6

8

0

28

0.0111

0.0111

7

2

1

19

2.7368

2.7368

0.45363

10

Moffett Sabel
(TS Volley Düdingen)

1

3

0

0

1

7

0.0076

0.0076

1

4

0

5

0.0076

0.0076

3

1

1

9

0.3333

0.3333

0.44516

11

Duarte Barbara
(Volley Köniz)

1

3

1

1

0

11

0.0075

0.0075

1

3

0

4

0.0075

0.0075

2

4

2

9

-1.3333

-1.3333

0.43937

12

Schauss Patricia
(Volley Köniz)

1

3

0

2

0

9

0

0

2

0

0

2

0.0149

0.0149

6

0

0

10

1.8

1.8

0.42817

13

Torterolo Larissa
(Volley Lugano)

2

6

0

1

0

14

0

0

4

4

0

11

0.0136

0.0136

2

0

0

6

2

2

0.41974

14

Lazarenko Angelina
(Volero Zürich)

4

7

0

0

0

0

0

0

6

5

0

15

0.0111

0.0111

9

0

0

12

5.25

5.25

0.40989

15

Zaloznik valentina
(Hôtel Christal VFM)

1

3

0

1

1

11

0.0081

0.0081

0

2

0

3

0

0

4

1

0

11

0.8182

0.8182

0.40126

16

Lutz Nina
(VC Kanti Schaffhausen)

1

3

0

0

0

9

0

0

1

2

0

4

0.0078

0.0078

1

0

0

1

3

3

0.37968

17

Lopes Da Silva Nuria
(KULAchange VBC Galina)

1

4

0

4

0

13

0

0

1

5

0

9

0.0057

0.0057

19

0

0

24

3.1667

3.1667

0.37222

18

Boss Christina
(KULAchange VBC Galina)

1

4

0

1

0

9

0

0

1

1

0

3

0.0057

0.0057

1

1

0

6

0

0

0.36653

19

Fanelli Ilaria
(Volley Lugano)

1

3

0

0

0

3

0

0

1

2

0

4

0.0057

0.0057

1

1

1

4

-0.75

-0.75

0.36519

20

White Jazmine
(Sm'Aesch Pfeffingen)

1

4

0

2

0

8

0

0

0

4

0

14

0

0

5

0

2

16

0.75

0.75

0.33374

21

Staffelbach Xenia
(Viteos NUC)

2

4

0

0

0

8

0

0

0

0

0

0

0

0

0

0

0

1

0

0

0.33246

22

Galic Tamara
(Volley Lugano)

2

4

0

1

0

2

0

0

0

1

0

2

0

0

0

0

0

0

0

0

0.33246

23

Troesch Carole
(Viteos NUC)

1

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0.33246

24

Gudenkauf Thea
(Viteos NUC)

1

1

0

0

0

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0.33246

25

Werfeli Lea
(Sm'Aesch Pfeffingen)

1

1

0

0

0

2

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0.33246

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