Saforelle Power 6

Competition

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

1

WILSON Megan
(TERVILLE FLORANGE)

23

86

17

34

17

287

0,009

0,009

48

77

17

223

0,0127

0,0127

127

18

17

305

25,941

25,941

0,54667

2

RUTHERFORD Reagan
(MULHOUSE)

31

105

10

42

10

192

0,0039

0,0039

37

58

7

189

0,0073

0,0073

361

61

35

810

34,3519

34,3519

0,53489

3

KOKRAM Pimpichaya
(VANDOEUVRE NANCY)

26

93

9

24

16

244

0,0061

0,0061

30

56

14

162

0,0073

0,0073

344

51

68

784

26,6901

26,6901

0,51664

4

MERCADO ERIKA
(BEZIERS)

25

92

31

53

27

298

0,0141

0,0141

35

18

22

132

0,0085

0,0085

228

92

58

638

11,2476

11,2476

0,51612

5

DEPIE Cyrielle
(LEVALLOIS PARIS)

28

99

17

28

10

200

0,0057

0,0057

26

34

7

112

0,0055

0,0055

256

65

35

625

24,7104

24,7104

0,50064

6

KINDERMANN Lena
(LEVALLOIS PARIS)

15

53

14

24

12

139

0,0107

0,0107

13

32

6

78

0,0054

0,0054

154

38

25

365

13,2137

13,2137

0,48981

7

BJERREGARD-MADSEN Rosa Yasmine
(BORDEAUX MERIGNAC)

29

94

15

15

18

244

0,0063

0,0063

19

10

22

87

0,0036

0,0036

237

36

52

645

21,7147

21,7147

0,48918

8

ABDA NESRINE
(MARCQ EN BAROEUL)

22

78

15

35

14

220

0,0088

0,0088

32

34

7

105

0,0098

0,0098

300

86

81

754

13,7586

13,7586

0,48035

9

TOSIC Milica
(EVREUX)

25

90

18

48

15

252

0,0085

0,0085

39

22

33

153

0,01

0,01

270

83

70

814

12,9361

12,9361

0,47291

10

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

11

RICKS LAILA
(CHAMALIERES)

26

92

13

31

7

255

0,005

0,005

35

26

9

84

0,0088

0,0088

175

85

35

519

9,7495

9,7495

0,42326

12

TAOFIFENUA Gloria
(TERVILLE FLORANGE)

16

51

3

12

8

139

0,0045

0,0045

19

24

6

65

0,0077

0,0077

68

22

21

217

5,8756

5,8756

0,39797

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

ZUMACH Kari
(SAINT-DIE)

20

65

1

5

1

62

0,0006

0,0006

11

14

4

41

0,0034

0,0034

100

27

24

245

13

13

0,38705

15

WILHITE PEYTON
(MARCQ EN BAROEUL)

21

64

3

11

6

120

0,0029

0,0029

11

24

9

64

0,0036

0,0036

70

18

25

246

7,0244

7,0244

0,38463

16

KRAIDUBA Anastasiia
(LEVALLOIS PARIS)

13

42

2

5

2

30

0,0018

0,0018

8

5

4

33

0,0035

0,0035

61

17

12

156

8,6154

8,6154

0,36641

17

ILOAI Malia
(BORDEAUX MERIGNAC)

14

24

1

2

3

39

0,0017

0,0017

5

1

6

23

0,0021

0,0021

25

13

7

89

1,3483

1,3483

0,34543

18

BENNOUR MAY
(VANDOEUVRE NANCY)

27

67

4

9

3

41

0,0016

0,0016

16

15

5

52

0,0037

0,0037

48

13

6

128

15,1797

15,1797

0,32716

19

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

20

MAEDER FIONA
(BEZIERS)

17

30

1

2

1

29

0,0007

0,0007

8

6

0

24

0,0029

0,0029

33

11

3

89

6,4045

6,4045

0,3262

21

ROVIRA Fetia-Here
(CANNES RC)

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