1. Bundesliga Frauen

1. Bundesliga Frauen - Playoffs

1. Bundesliga Frauen Best players MIDDLE BLOCKER
PlayerPlayedServeServeBlockBlockAttackAttackRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.Index

1

Gründing Lisa
(SC Potsdam)

3

12

4

1

5

43

0.0179

0.0179

6

0

13

33

0.0119

0.0119

17

4

0

43

3.6279

3.6279

0.57081

2

McCage Mallory Grace
(Allianz MTV Stuttgart)

7

25

2

3

1

46

0.0027

0.0027

32

6

15

79

0.029

0.029

44

5

5

96

8.8542

8.8542

0.55825

3

Langgemach Juliane
(USC Münster)

2

6

4

2

1

23

0.0186

0.0186

2

1

0

6

0.0074

0.0074

6

2

5

17

-0.3529

-0.3529

0.54009

4

Stoeten Jeanine
(Ladies in black Aachen)

4

13

4

9

3

49

0.0116

0.0116

9

3

8

34

0.0149

0.0149

21

1

6

42

4.3333

4.3333

0.53621

5

Košova Simona
(VC Wiesbaden)

2

6

4

1

1

29

0.0175

0.0175

2

3

1

9

0.007

0.007

15

1

2

27

2.6667

2.6667

0.53387

6

Polder Tessa
(Ladies in black Aachen)

4

11

5

2

2

34

0.0116

0.0116

6

3

8

24

0.01

0.01

17

4

3

42

2.619

2.619

0.50015

7

Barfield Lauren
(SSC Palmberg Schwerin)

7

25

4

11

5

94

0.0082

0.0082

14

6

14

55

0.0128

0.0128

31

3

6

63

8.7302

8.7302

0.50007

8

Mrdak Ivana
(Dresdner SC)

5

18

7

7

1

55

0.01

0.01

8

0

25

50

0.01

0.01

34

5

4

82

5.4878

5.4878

0.49144

9

Planinšec Saša
(Dresdner SC)

5

19

2

12

2

58

0.005

0.005

13

2

20

68

0.0162

0.0162

29

8

3

61

5.6066

5.6066

0.48824

10

Pettke Jennifer
(Rote Raben Vilsbiburg)

2

6

2

3

1

16

0.0118

0.0118

2

2

1

10

0.0078

0.0078

12

2

4

24

1.5

1.5

0.48549

11

Tapp Paige
(Allianz MTV Stuttgart)

7

24

3

15

3

81

0.0054

0.0054

16

3

15

61

0.0145

0.0145

26

6

6

62

5.4194

5.4194

0.4805

12

Svobodnikova Ivona
(SC Potsdam)

3

12

0

3

4

25

0.008

0.008

6

3

5

27

0.0119

0.0119

17

3

4

48

2.5

2.5

0.48031

13

Sredic Tanja
(VC Wiesbaden)

2

6

4

5

0

24

0.014

0.014

1

1

1

10

0.0035

0.0035

10

3

2

20

1.5

1.5

0.47719

14

Lohuis Juliët
(USC Münster)

2

6

0

3

1

19

0.0037

0.0037

3

4

5

17

0.0112

0.0112

10

2

2

22

1.6364

1.6364

0.43603

15

Dumancic Beta
(SSC Palmberg Schwerin)

7

25

2

10

0

64

0.0018

0.0018

10

4

17

54

0.0091

0.0091

41

4

5

90

8.8889

8.8889

0.42

16

Schwertmann Leonie
(Rote Raben Vilsbiburg)

2

6

0

2

1

16

0.0039

0.0039

1

2

3

12

0.0039

0.0039

8

1

3

15

1.6

1.6

0.39148

17

Weitzel Camilla
(Dresdner SC)

1

1

1

0

0

3

0.0056

0.0056

0

0

0

0

0

0

0

0

0

0

0

0

0.37815

18

Wezorke Barbara Roxana
(Dresdner SC)

3

6

1

0

0

10

0.002

0.002

1

2

5

13

0.002

0.002

3

0

1

6

2

2

0.36404

19

Kalinovskaya-Guengoer Anna
(Ladies in black Aachen)

2

5

0

0

1

11

0.0031

0.0031

0

0

5

7

0

0

7

1

4

17

0.5882

0.5882

0.3589

20

Potts Jenna
(Allianz MTV Stuttgart)

1

1

0

0

0

1

0

0

0

0

0

0

0

0

1

0

0

1

1

1

0.33417

21

Tomazela Pissinato Micheli
(Allianz MTV Stuttgart)

3

4

0

2

0

7

0

0

0

0

2

2

0

0

1

0

1

4

0

0

0.33246

22

Hetmann Selma Theresa
(VC Wiesbaden)

1

2

0

0

0

3

0

0

0

0

1

1

0

0

0

0

0

0

0

0

0.33246

23

Wilczek Natalie
(SC Potsdam)

2

2

0

1

0

2

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0.33246

24

Schölzel Marie
(SSC Palmberg Schwerin)

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