Ligue A Féminine 16/17

Competition

Ligue A Féminine 16/17 Best players OPPOSITE
JoueursJouésServeServeBLKBLKAttaqueAttaqueRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.Index

1

HAAK Isabelle
(BEZIERS VOLLEY)

23

91

38

55

25

368

0,0159

0,0159

49

41

7

140

0,0124

0,0124

446

78

24

1004

31,1793

31,1793

0,63546

2

KAJALINA Anna
(SAINT RAPHAËL VAR VB)

23

89

30

35

22

350

0,0131

0,0131

19

13

15

81

0,0048

0,0048

218

47

21

593

22,5126

22,5126

0,55815

3

DASCALU Alexandra
(SF PARIS SAINT-CLOUD)

20

77

24

37

28

273

0,0154

0,0154

26

36

2

96

0,0077

0,0077

286

88

51

702

16,1239

16,1239

0,55198

4

ORLE Maeva
(ASPTT MULHOUSE)

23

84

9

32

19

259

0,0073

0,0073

32

32

4

85

0,0083

0,0083

231

58

41

534

20,764

20,764

0,4992

5

STOYANOVA Yuliya
(VANDOEUVRE NANCY VOLLEY BALL)

21

78

9

25

23

275

0,0091

0,0091

29

28

3

95

0,0083

0,0083

247

57

66

717

13,4895

13,4895

0,47964

6

SAVENCHUK Olga
(RC CANNES)

21

83

5

23

13

234

0,0047

0,0047

40

32

9

116

0,0105

0,0105

246

46

55

640

18,8047

18,8047

0,46804

7

BACSIS Roxana Denisa
(VOLLEY-BALL NANTES)

22

78

12

35

19

232

0,0077

0,0077

32

27

4

80

0,008

0,008

121

20

35

379

13,5831

13,5831

0,46659

8

OLIVEIRA SOUZA Julie
(EVREUX VOLLEY-BALL)

11

38

9

15

6

78

0,0081

0,0081

11

20

1

34

0,0059

0,0059

60

26

12

197

4,2437

4,2437

0,42063

9

MENDARO LEYVA Yaremis
(QUIMPER VOLLEY 29)

21

71

18

41

3

195

0,0058

0,0058

22

15

5

52

0,0061

0,0061

203

75

65

577

7,7522

7,7522

0,41735

10

DRUENNE Clémentine
(VOLLEY-BALL NANTES)

7

27

6

3

3

73

0,007

0,007

1

12

0

13

0,0008

0,0008

76

12

17

196

6,4745

6,4745

0,41588

11

FRANCO MARRA C NASCIMENTO Ivna
(LE CANNET )

7

25

4

4

2

88

0,0051

0,0051

17

6

0

23

0,0144

0,0144

99

21

14

245

6,5306

6,5306

0,41506

12

FERRER FONTANEZ Shirley
(PAYS D'AIX VENELLES VB)

14

53

7

8

1

154

0,0032

0,0032

19

6

0

25

0,0077

0,0077

230

50

45

632

11,3212

11,3212

0,41334

13

ZONGO Safiatou
(BEZIERS VOLLEY)

18

54

8

16

5

123

0,0042

0,0042

8

15

11

64

0,0026

0,0026

88

21

23

247

9,6194

9,6194

0,40755

14

LICAN Ludmilla
(TERVILLE FLORANGE)

13

49

3

26

4

151

0,0032

0,0032

13

14

3

44

0,006

0,006

183

57

45

525

7,56

7,56

0,39304

15

HASSENI Roxane
(QUIMPER VOLLEY 29)

6

19

1

5

1

38

0,0019

0,0019

12

1

0

13

0,0114

0,0114

23

11

4

79

1,9241

1,9241

0,36082

16

BRYAN Kennedy
(EVREUX VOLLEY-BALL)

6

16

1

3

1

48

0,0019

0,0019

4

1

0

7

0,0037

0,0037

36

14

9

106

1,9623

1,9623

0,35174

17

DJILALI Alexia
(VANDOEUVRE NANCY VOLLEY BALL)

4

11

2

2

0

15

0,0028

0,0028

2

1

0

3

0,0028

0,0028

12

9

2

37

0,2973

0,2973

0,35079

18

DAVIDOVIC Lara
(ASPTT MULHOUSE)

19

38

3

6

3

48

0,0019

0,0019

7

10

2

24

0,0022

0,0022

34

11

6

89

7,2584

7,2584

0,34148

19

CHIMISANAS Elena
(PAYS D'AIX VENELLES VB)

6

14

2

2

0

28

0,0018

0,0018

0

0

0

0

0

0

3

2

1

16

0

0

0,3378

20

FOFANA Fanta
(VOLLEY-BALL NANTES)

4

7

0

0

0

7

0

0

0

0

0

0

0

0

0

1

0

1

-7

-7

0,32305

21

NEVOT Marie
(QUIMPER VOLLEY 29)

4

5

0

1

0

4

0

0

0

1

0

1

0

0

0

0

0

0

0

0

0,32305

Calcul du classement

Pointu

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:  3

Serve

  • # serve ace

  • / half point

  • = serve error

Attaque

  • # point

  • / blocked

  • = error

BLK

  • # point

  • / invasion

  • = hand out

Filters applied

  • Minimum number of Matches played:  4