Volleyball League Women 2017/2018

Playoff semifinal + PO 5.-6. 7.-8.

Volleyball League Women 2017/2018 Best players MIDDLE BLOCKER
PlayerPlayedServeServeBlockBlockAttackAttackRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.Index

1

Moffett Sabel
(TS Volley Düdingen)

3

11

4

3

2

34

0.0127

0.0127

15

8

0

42

0.0318

0.0318

26

3

1

52

4.6538

4.6538

0.65352

2

Holaskova Katerina
(VC Kanti Schaffhausen)

2

6

2

2

1

16

0.0128

0.0128

7

7

0

17

0.0298

0.0298

7

0

1

15

2.4

2.4

0.63732

3

Schottroff Gabi
(Volero Zürich)

2

6

3

0

3

30

0.0255

0.0255

2

2

0

9

0.0085

0.0085

7

0

0

11

3.8182

3.8182

0.61525

4

Zaloznik valentina
(ZESAR-VFM)

1

3

1

0

0

11

0.0075

0.0075

4

0

0

6

0.0301

0.0301

6

0

0

11

1.6364

1.6364

0.59338

5

Borelli Francesca
(Volley Lugano)

1

3

2

2

1

12

0.0238

0.0238

1

0

0

1

0.0079

0.0079

3

0

0

5

1.8

1.8

0.59319

6

Todorova Mira
(Volero Zürich)

2

6

2

0

2

15

0.017

0.017

3

3

0

10

0.0128

0.0128

14

1

0

22

3.5455

3.5455

0.56844

7

Matter Madlaina
(Sm'Aesch Pfeffingen)

3

11

3

2

5

45

0.017

0.017

5

14

0

33

0.0106

0.0106

17

1

1

31

5.3226

5.3226

0.55753

8

Becker Kerley
(TS Volley Düdingen)

3

11

0

4

5

35

0.0106

0.0106

8

17

0

43

0.017

0.017

20

3

5

46

2.8696

2.8696

0.5381

9

White Jazmine
(Sm'Aesch Pfeffingen)

3

11

5

2

2

33

0.0149

0.0149

5

4

0

27

0.0106

0.0106

21

3

5

53

2.6981

2.6981

0.53371

10

Staffelbach Xenia
(Viteos NUC)

1

2

2

1

1

9

0.0226

0.0226

0

1

0

1

0

0

3

0

0

3

2

2

0.53108

11

Fanelli Ilaria
(Volley Lugano)

1

3

0

1

0

2

0

0

3

0

0

4

0.0238

0.0238

3

0

0

5

1.8

1.8

0.48629

12

Halter Martina
(Viteos NUC)

1

3

2

2

0

13

0.015

0.015

0

0

0

0

0

0

0

1

2

4

-2.25

-2.25

0.45586

13

Alons Johanna Willemina
(KULAchange VBC Galina)

1

3

0

2

0

8

0

0

2

0

0

4

0.0159

0.0159

2

1

1

10

0

0

0.4309

14

Girard Ségolène
(Viteos NUC)

1

3

0

0

0

4

0

0

2

0

0

5

0.015

0.015

6

1

1

12

1

1

0.42739

15

Lutz Nina
(VC Kanti Schaffhausen)

2

6

0

0

1

12

0.0043

0.0043

2

6

0

11

0.0085

0.0085

2

2

3

12

-1.5

-1.5

0.41776

16

Bigger Kathia
(KULAchange VBC Galina)

1

2

1

0

0

5

0.0079

0.0079

0

1

1

2

0

0

1

1

0

4

0

0

0.39809

17

Florin Janina
(KULAchange VBC Galina)

1

2

0

0

0

2

0

0

1

0

0

1

0.0079

0.0079

3

1

0

5

0.8

0.8

0.38191

18

Lazarenko Angelina
(Volero Zürich)

2

4

0

0

0

1

0

0

1

1

0

3

0.0043

0.0043

2

1

0

3

1.3333

1.3333

0.35783

19

Torterolo Larissa
(Volley Lugano)

1

3

0

0

0

9

0

0

0

0

0

0

0

0

1

0

0

1

3

3

0.33246

20

Smiljkovic Marija
(VC Kanti Schaffhausen)

2

2

0

0

0

1

0

0

0

1

0

1

0

0

0

0

0

1

0

0

0.33246

21

Werfeli Lea
(Sm'Aesch Pfeffingen)

1

1

0

0

0

1

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