1. Bundesliga Frauen

1. Bundesliga Frauen - Playoffs

Middle-Blocker

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

1

Stoeten Jeanine
(Ladies in Black Aachen)

4

14

3

11

9

57

0.019

0.019

6

7

13

48

0.0095

0.0095

19

2

1

42

5.3333

5.3333

0.56752

2

Keddy Jennifer
(USC Münster)

4

16

3

8

0

46

0.0044

0.0044

17

7

1

37

0.0249

0.0249

34

2

2

59

8.1356

8.1356

0.54447

3

McCage Mallory Grace
(VC Wiesbaden)

5

18

5

10

2

53

0.0085

0.0085

15

2

8

36

0.0183

0.0183

35

3

3

71

7.3521

7.3521

0.5368

4

Polder Tessa
(Ladies in Black Aachen)

4

14

6

5

4

47

0.0158

0.0158

6

4

15

45

0.0095

0.0095

9

6

1

36

0.7778

0.7778

0.53087

5

Lopes da Silva Nuria
(Köpenicker SC Berlin)

2

7

6

2

0

33

0.018

0.018

2

1

2

14

0.006

0.006

8

1

0

22

2.2273

2.2273

0.53

6

Tapp Hannah
(Schweriner SC)

7

25

5

7

5

76

0.0092

0.0092

18

2

24

68

0.0166

0.0166

37

9

6

87

6.3218

6.3218

0.52986

7

Košova Simona
(VC Wiesbaden)

5

19

7

6

3

75

0.0122

0.0122

8

0

7

32

0.0098

0.0098

39

2

2

68

9.7794

9.7794

0.51791

8

Tomazela Pissinato Micheli
(Allianz MTV Stuttgart)

8

30

5

7

11

108

0.0113

0.0113

13

9

21

85

0.0092

0.0092

48

5

4

85

13.7647

13.7647

0.51392

9

Svobodnikova Ivona
(SC Potsdam)

3

12

6

10

2

48

0.0154

0.0154

2

1

7

18

0.0039

0.0039

22

2

1

45

5.0667

5.0667

0.49896

10

Cross Jennifer
(Dresdner SC)

3

11

1

3

6

39

0.0125

0.0125

4

0

3

21

0.0072

0.0072

7

0

2

22

2.5

2.5

0.48993

11

Hroncekova Veronika
(VfB 91 Suhl)

2

7

3

4

0

23

0.0097

0.0097

3

3

0

11

0.0097

0.0097

15

2

0

24

3.7917

3.7917

0.48336

12

Purchartová Barbora
(Dresdner SC)

6

22

2

13

4

73

0.006

0.006

14

3

20

67

0.0139

0.0139

18

1

5

43

6.1395

6.1395

0.48239

13

Stöhr Celin
(Köpenicker SC Berlin)

2

7

2

5

1

19

0.009

0.009

4

3

4

14

0.012

0.012

2

1

5

14

-2

-2

0.48114

14

Lehnen Becker Kerley Liana
(Rote Raben Vilsbiburg)

3

10

0

4

3

21

0.0067

0.0067

6

1

5

31

0.0133

0.0133

15

4

6

34

1.4706

1.4706

0.47612

15

Pettke Jennifer
(Allianz MTV Stuttgart)

8

30

8

6

6

87

0.0099

0.0099

10

0

13

42

0.0071

0.0071

10

1

1

31

7.7419

7.7419

0.47571

16

Barfield Lauren
(Schweriner SC)

6

20

5

5

1

59

0.0062

0.0062

9

1

21

57

0.0094

0.0094

39

4

4

76

8.1579

8.1579

0.45901

17

Gründing Lisa
(SC Potsdam)

3

12

0

6

0

29

0

0

9

0

5

23

0.0174

0.0174

13

3

3

42

2

2

0.44445

18

Johnson Erin
(Dresdner SC)

3

10

0

6

1

23

0.0022

0.0022

6

4

6

31

0.0133

0.0133

13

0

7

29

2.069

2.069

0.43786

19

Schölzel Marie
(Schweriner SC)

4

10

3

2

2

27

0.0077

0.0077

4

0

6

14

0.0062

0.0062

4

2

2

13

0

0

0.43609

20

Carey Beth
(VfB 91 Suhl)

2

7

2

2

0

13

0.0065

0.0065

2

0

0

5

0.0065

0.0065

5

1

0

11

2.5455

2.5455

0.43128

21

Grant Nia
(Allianz MTV Stuttgart)

6

23

0

5

1

34

0.0009

0.0009

13

6

15

67

0.0119

0.0119

39

6

6

76

8.1711

8.1711

0.42832

22

Langgemach Juliane
(USC Münster)

4

10

4

2

0

37

0.0058

0.0058

3

3

1

13

0.0044

0.0044

15

5

5

38

1.3158

1.3158

0.41043

23

Schwertmann Leonie
(USC Münster)

2

7

2

1

0

24

0.0053

0.0053

1

4

0

13

0.0027

0.0027

11

2

0

27

2.3333

2.3333

0.39714

24

Wezorke Barbara Roxana
(Rote Raben Vilsbiburg)

3

7

1

1

0

13

0.0022

0.0022

2

1

9

17

0.0044

0.0044

4

1

1

7

2

2

0.38109

25

Cooper Brittnee
(Dresdner SC)

2

2

1

0

0

5

0.0032

0.0032

1

0

1

4

0.0032

0.0032

4

0

0

9

0.8889

0.8889

0.38024

26

Wagendorp Marlies
(Rote Raben Vilsbiburg)

3

8

0

4

0

19

0

0

3

3

4

20

0.0067

0.0067

4

1

2

14

0.5714

0.5714

0.37361

27

Nagy Eszter
(VC Wiesbaden)

2

4

0

2

0

6

0

0

1

1

1

5

0.0033

0.0033

2

0

0

4

2

2

0.35552

28

Silge Wiebke
(SC Potsdam)

3

6

1

0

0

9

0.0019

0.0019

0

0

0

0

0

0

0

0

0

0

0

0

0.34794

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

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