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

DASCALU Alexandra
(VC MARCQ-EN-BAROEUL LILLE METROPOLE)

26

103

38

52

31

363

0,0149

0,0149

29

15

35

131

0,0063

0,0063

351

77

53

887

25,6629

25,6629

0,59264

2

KINDERMANN Lena
(PAYS D'AIX VENELLES VOLLEY-BALL)

25

99

23

38

26

338

0,011

0,011

28

30

16

112

0,0063

0,0063

378

69

61

861

28,5157

28,5157

0,57024

3

CUGNO Bianca
(LEVALLOIS PARIS SAINT-CLOUD)

26

96

24

44

27

317

0,0112

0,0112

48

44

19

170

0,0106

0,0106

376

66

62

922

25,8221

25,8221

0,56471

4

SUNDERLIKOVA KARIN
(BEZIERS VOLLEY)

25

100

37

73

18

367

0,0126

0,0126

35

38

18

112

0,008

0,008

407

118

66

968

23,0372

23,0372

0,56064

5

FINGALL MORGAHN
(VOLERO LE CANNET)

26

100

29

32

16

356

0,0102

0,0102

46

55

23

208

0,0104

0,0104

471

94

86

1120

25,9821

25,9821

0,55522

6

BENNETT Haylie
(NEPTUNES DE NANTES)

25

95

26

52

16

283

0,01

0,01

39

25

32

141

0,0093

0,0093

378

72

69

922

24,4197

24,4197

0,5446

7

MATTHEWS Lauren
(RACING CLUB DE CANNES)

24

92

21

52

20

312

0,0102

0,0102

39

26

46

157

0,0097

0,0097

344

80

78

837

20,4444

20,4444

0,52718

8

BJERREGåRD-MADSEN Rosa Yasmine
(QUIMPER VOLLEY 29)

26

100

25

19

7

344

0,0071

0,0071

18

46

5

107

0,004

0,004

368

67

61

1037

23,1437

23,1437

0,50467

9

DIOUF Valentina
(VOLLEY MULHOUSE ALSACE)

11

36

14

11

9

149

0,0119

0,0119

14

6

5

38

0,0072

0,0072

103

20

19

269

8,5651

8,5651

0,47989

10

OKENWA Akuabata
(VOLLEY BALL CLUB CHAMALIERES)

25

98

18

40

14

325

0,0077

0,0077

32

24

13

112

0,0077

0,0077

272

96

63

757

14,6288

14,6288

0,47099

11

GAMANOVICH VALERIIA
(VANDOEUVRE NANCY VOLLEY BALL)

26

81

12

41

9

170

0,0052

0,0052

37

27

10

132

0,0091

0,0091

204

49

52

519

16,0751

16,0751

0,45697

12

RUTHERFORD Reagan
(VOLLEY MULHOUSE ALSACE)

10

41

13

12

3

124

0,0084

0,0084

12

14

17

66

0,0063

0,0063

144

34

24

329

10,7173

10,7173

0,45686

13

LINDGREN Saana
(TERVILLE FLORANGE OLYMPIQUE CLUB)

26

92

11

40

18

273

0,0065

0,0065

30

26

40

146

0,0067

0,0067

202

64

38

651

14,1321

14,1321

0,45654

14

FOUCHER Victoria
(VANDOEUVRE NANCY VOLLEY BALL)

25

65

5

17

3

77

0,002

0,002

19

14

6

63

0,0049

0,0049

111

24

23

293

14,198

14,198

0,41314

15

ZEGGAGH Lalie
(PAYS D'AIX VENELLES VOLLEY-BALL)

11

19

4

8

2

44

0,0032

0,0032

2

2

0

5

0,0011

0,0011

27

6

4

57

5,6667

5,6667

0,37745

16

TAOFIFENUA Gloria
(TERVILLE FLORANGE OLYMPIQUE CLUB)

5

13

1

4

1

28

0,0025

0,0025

1

3

7

19

0,0012

0,0012

27

6

6

62

3,1452

3,1452

0,35978

17

MATUCA NILDA
(VOLERO LE CANNET)

7

8

0

0

0

0

0

0

2

1

2

5

0,0015

0,0015

1

1

0

4

0

0

0,32475

18

DEPIE Cyrielle
(LEVALLOIS PARIS SAINT-CLOUD)

22

47

2

6

0

46

0,0005

0,0005

6

11

0

33

0,0015

0,0015

54

14

9

132

11,0379

11,0379

0,32473

19

HOURDIN-SOLOVIEFF Elena
(LEVALLOIS PARIS SAINT-CLOUD)

1

1

0

0

0

0

0

0

0

0

0

0

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:  1