Ligue A Féminine

Play-Offs LAF 14/15

Ligue A Féminine Best players MIDDLE BLOCKER
JoueursJouésServeServeBLKBLKAttaqueAttaqueRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.Index

1

KLOSTER Myriam
(LE CANNET )

7

30

11

12

3

120

0,0109

0,0109

28

9

28

91

0,0219

0,0219

32

3

4

76

9,8684

9,8684

0,58595

2

HUTINSKI Sara
(PAYS D'AIX VENELLES VB)

3

12

1

4

4

37

0,0097

0,0097

12

4

9

42

0,0233

0,0233

19

2

2

41

4,3902

4,3902

0,57458

3

OULMOU Lydia
(PAYS D'AIX VENELLES VB)

3

12

4

7

2

44

0,0117

0,0117

11

1

14

35

0,0214

0,0214

13

5

2

37

1,9459

1,9459

0,57441

4

ONYEJEKWE Nneka Obiamaka
(RC CANNES)

3

13

5

2

2

52

0,0122

0,0122

10

13

0

40

0,0174

0,0174

23

3

2

43

5,4419

5,4419

0,55907

5

TASCA Federica
(VOLLEY-BALL NANTES)

3

11

2

2

0

32

0,004

0,004

11

2

0

13

0,0219

0,0219

15

4

2

30

3,3

3,3

0,51226

6

ALBU Alina
(ASPTT MULHOUSE)

2

6

2

5

1

24

0,0113

0,0113

3

6

0

10

0,0113

0,0113

9

2

2

23

1,3043

1,3043

0,50342

7

CATRY Maud
(SF PARIS SAINT-CLOUD)

5

19

2

1

4

76

0,0073

0,0073

12

3

8

40

0,0146

0,0146

38

4

5

65

8,4769

8,4769

0,50322

8

RAVVA Victoria
(RC CANNES)

3

13

2

1

1

26

0,0052

0,0052

9

21

0

42

0,0156

0,0156

33

7

4

69

4,1449

4,1449

0,48335

9

CARTER Grace
(SF PARIS SAINT-CLOUD)

5

19

1

2

3

57

0,0049

0,0049

11

5

9

32

0,0133

0,0133

36

7

3

64

7,7187

7,7187

0,47209

10

GAUTHIER-RAT Marion
(VOLLEY-BALL NANTES)

3

11

3

6

0

48

0,006

0,006

6

4

0

10

0,012

0,012

12

4

0

30

2,9333

2,9333

0,4637

11

PAVAN Rebecca Ann
(BEZIERS VOLLEY)

4

14

6

4

1

53

0,0103

0,0103

4

4

0

10

0,0059

0,0059

18

6

4

39

2,8718

2,8718

0,46212

12

LAZCANO Julieta
(ISTRES OUEST PROVENCE VB)

1

4

0

0

1

7

0,0053

0,0053

2

4

0

13

0,0105

0,0105

7

2

1

17

0,9412

0,9412

0,44425

13

DASCALU Silvana
(ISTRES OUEST PROVENCE VB)

1

4

1

1

0

9

0,0053

0,0053

2

5

0

14

0,0105

0,0105

3

2

0

12

0,3333

0,3333

0,44309

14

ZAMBELLI Marina
(LE CANNET )

7

30

3

5

0

71

0,0023

0,0023

12

10

15

61

0,0094

0,0094

64

9

5

121

12,3967

12,3967

0,43284

15

MARTIN Pauline
(BEZIERS VOLLEY)

4

8

4

3

0

22

0,0059

0,0059

0

1

0

4

0

0

2

1

0

8

1

1

0,38245

16

TRACH Olga
(ASPTT MULHOUSE)

2

6

0

0

0

13

0

0

2

8

0

14

0,0075

0,0075

6

1

1

18

1,3333

1,3333

0,38028

17

MANN Genevieve Chloe
(BEZIERS VOLLEY)

4

15

1

3

0

43

0,0015

0,0015

3

4

0

14

0,0044

0,0044

19

5

1

44

4,4318

4,4318

0,37897

18

ABRHAMOVA Michaela
(LE CANNET )

1

1

0

0

1

2

0,0049

0,0049

0

0

0

0

0

0

0

0

0

0

0

0

0,37201

19

MATOS HOFFMANN Tamara
(PAYS D'AIX VENELLES VB)

3

5

1

1

0

5

0,0019

0,0019

0

3

0

3

0

0

2

1

0

4

1,25

1,25

0,34807

20

NOLIER Sophie
(SF PARIS SAINT-CLOUD)

5

7

0

1

1

10

0,0012

0,0012

0

0

0

0

0

0

0

0

0

0

0

0

0,34215

21

HARAGOVA Vendula
(ISTRES OUEST PROVENCE VB)

1

1

0

0

0

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0,33246

Calcul du classement

Central

Le classement prend en compte :

  • 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

Attaque

  • # point

  • / blocked

  • = error

BLK

  • # point

  • / invasion

  • = hand out

Filters applied

  • Minimum number of Matches played:  1