Saforelle Power 6

Saison Régulière

Saforelle Power 6 Best players OPPOSITE
JoueursJouésServeServeBLKBLKAttaqueAttaqueRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.Index

1

MERCADO ERIKA
(BEZIERS)

18

65

26

42

15

212

0,014

0,014

26

15

14

86

0,0089

0,0089

176

58

37

451

11,6741

11,6741

0,5176

2

WILSON Megan
(TERVILLE FLORANGE)

15

58

9

26

11

191

0,0081

0,0081

30

55

8

156

0,0121

0,0121

79

12

9

199

16,9045

16,9045

0,49203

3

KINDERMANN Lena
(LEVALLOIS PARIS)

14

49

12

23

12

125

0,0106

0,0106

11

32

6

76

0,0049

0,0049

136

36

22

330

11,5818

11,5818

0,48031

4

ABDA NESRINE
(MARCQ EN BAROEUL)

17

61

14

31

10

182

0,0096

0,0096

27

28

7

91

0,0108

0,0108

250

70

65

619

11,3328

11,3328

0,47626

5

RUTHERFORD Reagan
(MULHOUSE)

19

63

8

27

6

106

0,0045

0,0045

20

39

3

119

0,0065

0,0065

197

32

21

463

19,594

19,594

0,46507

6

TOSIC Milica
(EVREUX)

18

67

16

33

10

186

0,0091

0,0091

28

20

25

112

0,0098

0,0098

194

63

52

609

8,6913

8,6913

0,45783

7

KOKRAM Pimpichaya
(VANDOEUVRE NANCY)

16

54

4

17

11

140

0,0063

0,0063

18

34

5

86

0,0076

0,0076

167

25

38

387

14,5116

14,5116

0,4577

8

INNEH-PASCU ELIZABET
(VOLERO LE CANNET)

8

32

7

9

4

92

0,0081

0,0081

9

15

1

44

0,0066

0,0066

124

17

27

292

8,7671

8,7671

0,44468

9

BJERREGARD-MADSEN Rosa Yasmine
(BORDEAUX MERIGNAC)

19

65

5

14

11

166

0,0047

0,0047

14

4

14

62

0,0041

0,0041

168

27

37

453

14,9227

14,9227

0,44013

10

RICKS LAILA
(CHAMALIERES)

19

65

9

26

6

183

0,0053

0,0053

25

18

7

60

0,0089

0,0089

119

52

19

344

9,0698

9,0698

0,42284

11

DEPIE Cyrielle
(LEVALLOIS PARIS)

16

55

8

11

3

88

0,0041

0,0041

13

9

3

45

0,0049

0,0049

104

30

22

275

10,4

10,4

0,41374

12

TAOFIFENUA Gloria
(TERVILLE FLORANGE)

15

50

2

12

7

134

0,0039

0,0039

19

24

6

65

0,0082

0,0082

68

20

21

213

6,338

6,338

0,39537

13

BODINIER Juliette
(BEZIERS)

1

1

1

0

0

4

0,0083

0,0083

0

0

0

0

0

0

0

0

0

0

0

0

0,39469

14

WILHITE PEYTON
(MARCQ EN BAROEUL)

18

56

3

10

6

110

0,0034

0,0034

10

23

9

57

0,0038

0,0038

66

15

23

227

6,9075

6,9075

0,38899

15

ZUMACH Kari
(SAINT-DIE)

15

52

1

5

1

49

0,0008

0,0008

11

11

4

35

0,0046

0,0046

88

23

22

212

10,5472

10,5472

0,37675

16

MAEDER FIONA
(BEZIERS)

10

20

0

1

1

22

0,0006

0,0006

7

4

0

19

0,0043

0,0043

29

9

1

67

5,6716

5,6716

0,35895

17

BENNOUR MAY
(VANDOEUVRE NANCY)

17

41

4

9

3

41

0,0027

0,0027

12

13

4

41

0,0047

0,0047

43

11

5

102

10,8529

10,8529

0,3514

18

ILOAI Malia
(BORDEAUX MERIGNAC)

8

12

0

0

1

17

0,0008

0,0008

0

1

2

11

0

0

10

4

4

31

0,7742

0,7742

0,32951

19

KRAIDUBA Anastasiia
(LEVALLOIS PARIS)

2

6

0

0

0

6

0

0

1

1

0

8

0,0029

0,0029

9

5

3

26

0,2308

0,2308

0,32733

20

MARGATSKA Milena
(FRANCE AVENIR)

8

18

0

4

0

19

0

0

1

5

1

14

0,001

0,001

17

13

2

56

0,6429

0,6429

0,32696

21

ROVIRA Fetia-Here
(CANNES)

4

5

0

2

0

4

0

0

0

0

0

1

0

0

3

0

0

10

1,5

1,5

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:  1