Austrian Volley League Women 2018/19

2. Phase

Austrian Volley League Women 2018/19 Best players MIDDLE BLOCKER
SpielerGespieltServiceServiceBlockBlockAngriffAngriffRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.Index

1

BAJIĆ Nikolina
(Wildcats)

5

20

13

8

8

93

0,0252

0,0252

17

8

0

32

0,0204

0,0204

46

3

3

74

10,8108

10,8108

0,69585

2

SERNOW Lisa
(PSV Salzbg. w)

2

6

4

2

0

27

0,0158

0,0158

7

0

0

7

0,0277

0,0277

7

1

1

13

2,3077

2,3077

0,64929

3

TUCKER Jordan
(PB Volleys)

5

21

7

6

6

71

0,0144

0,0144

21

4

0

36

0,0233

0,0233

74

9

8

153

7,8235

7,8235

0,62046

4

NESIMOVIĆ Nina
(UVC Graz w)

6

23

9

19

0

67

0,0094

0,0094

21

12

0

48

0,0219

0,0219

27

5

4

61

6,7869

6,7869

0,56651

5

OIWOH Noemi Laureen M.
(Wildcats)

4

15

4

11

3

50

0,0108

0,0108

10

7

0

24

0,0155

0,0155

32

5

1

52

7,5

7,5

0,53906

6

RYBAR Julia Maria
(Hartberg w)

5

20

8

9

0

56

0,0099

0,0099

9

1

0

10

0,0112

0,0112

16

2

2

29

8,2759

8,2759

0,50425

7

WOLFLEHNER Diana
(Bisamberg/H)

5

15

2

9

2

31

0,0066

0,0066

7

5

0

17

0,0116

0,0116

19

7

4

38

3,1579

3,1579

0,46705

8

CASH Samantha
(Linz/Steg)

5

20

2

4

2

41

0,0048

0,0048

9

9

0

35

0,0107

0,0107

29

8

2

72

5,2778

5,2778

0,44959

9

MAASS Sophie-Marie
(Linz/Steg)

5

19

4

4

2

60

0,0072

0,0072

7

9

0

27

0,0084

0,0084

8

2

4

31

1,2258

1,2258

0,44737

10

DUMPHART Eva Maria
(UVC Graz w)

6

23

5

8

0

63

0,0052

0,0052

8

12

0

36

0,0083

0,0083

32

9

2

68

7,1029

7,1029

0,44122

11

WESSELY Laura
(Trofaiach/E)

6

24

4

6

1

56

0,0048

0,0048

9

4

0

15

0,0087

0,0087

32

9

5

64

6,75

6,75

0,43987

12

GOGER Isabella Sijia
(Hartberg w)

5

20

1

9

0

38

0,0012

0,0012

12

0

0

12

0,0149

0,0149

4

3

3

24

-1,6667

-1,6667

0,43238

13

BERGMANN Maria
(Trofaiach/E)

4

10

6

2

2

25

0,0114

0,0114

0

0

0

1

0

0

0

1

0

1

-10

-10

0,42805

14

HILL Paige
(PSV Salzbg. w)

2

6

1

3

0

14

0,004

0,004

1

2

0

3

0,004

0,004

18

0

0

24

4,5

4,5

0,39728

15

TULUK Sema Gül
(UVC Graz w)

1

1

0

0

0

1

0

0

1

0

0

1

0,0085

0,0085

0

0

0

0

0

0

0,3838

16

BRUCKNER Sarah Nadine
(Hartberg w)

3

7

3

1

0

16

0,0061

0,0061

0

0

0

0

0

0

0

0

0

0

0

0

0,38245

17

DUVNJAK Andrea
(Linz/Steg)

3

4

0

2

0

4

0

0

4

0

0

5

0,0073

0,0073

1

2

0

5

-0,8

-0,8

0,37496

18

WEISS Stephanie
(Bisamberg/H)

2

5

1

1

0

7

0,0044

0,0044

0

0

0

0

0

0

0

0

0

1

0

0

0,36811

19

GRENTNER Theresa
(Trofaiach/E)

5

15

1

4

1

22

0,0022

0,0022

1

0

0

1

0,0011

0,0011

12

3

2

19

5,5263

5,5263

0,36656

20

STRIEK Linda
(Wildcats)

1

4

0

1

0

9

0

0

0

1

0

4

0

0

4

0

0

7

2,2857

2,2857

0,33638

21

PEISCHL Linda
(UVC Graz w)

1

1

0

1

0

2

0

0

0

0

0

0

0

0

1

0

0

2

0,5

0,5

0,33332

22

LAMATSCH Ulrike
(Bisamberg/H)

2

3

0

1

0

3

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0,33246

Ranking Berechnung

Mittelblocker

Das Ranking berücksichtigt:

  • 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

Service

  • # Service Ass

  • / half point

  • = Service Fehler

Angriff

  • # Punkt

  • / blockiert

  • = Fehler

Block

  • # Punkt

  • / Netzberührung

  • = Blockout

Filters applied

  • Minimum number of Matches played:  1