Ligue A Féminine 22-23

Competition

Ligue A Féminine 22-23 Best players OPPOSITE
JoueursJouésServeServeBLKBLKAttaqueAttaqueRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.Index

1

AKIMOVA Vita
(LE CANNET)

34

131

47

92

42

457

0,0151

0,0151

58

73

6

203

0,0098

0,0098

621

136

100

1448

34,8308

34,8308

0,64199

2

MIMS Taylor
(NANTES)

26

100

26

27

19

364

0,0104

0,0104

38

38

11

126

0,0088

0,0088

428

84

42

1063

28,4102

28,4102

0,56746

3

MARKOVIC Nika
(VANDOEUVRE NANCY)

26

95

27

37

21

323

0,0115

0,0115

44

16

38

164

0,0106

0,0106

296

56

55

695

25,2878

25,2878

0,56487

4

FRICANO Taylor
(TERVILLE-FLORANGE)

27

105

25

57

16

375

0,0088

0,0088

45

42

10

125

0,0097

0,0097

402

82

55

1044

26,6523

26,6523

0,5451

5

CUGNO Bianca
(BEZIERS)

30

107

24

51

14

345

0,0075

0,0075

32

56

11

158

0,0063

0,0063

387

79

57

930

28,8785

28,8785

0,53984

6

TCHOUDJANG NANA Christelle
(MULHOUSE)

30

109

16

22

12

367

0,0056

0,0056

53

30

42

190

0,0107

0,0107

378

74

66

872

29,75

29,75

0,5321

7

LAAK Kertu
(CANNES)

27

100

29

41

22

313

0,0109

0,0109

36

18

26

97

0,0077

0,0077

316

85

69

889

18,2227

18,2227

0,51972

8

TERRELL Malina
(ST RAPHAEL)

24

91

15

39

25

354

0,01

0,01

19

17

22

94

0,0047

0,0047

305

49

70

878

19,2779

19,2779

0,51269

9

MARINOVA Radostina
(PARIS ST CLOUD)

26

103

18

40

11

310

0,0063

0,0063

20

45

14

124

0,0043

0,0043

282

53

53

759

23,8841

23,8841

0,50031

10

DASCALU Alexandra
(MARCQ-EN-BAROEUL)

26

91

10

43

20

228

0,0066

0,0066

29

14

36

123

0,0064

0,0064

286

58

56

703

22,2646

22,2646

0,49794

11

FINE MARTINEZ Greisy
(CHAMALIERES)

23

68

11

32

13

214

0,007

0,007

20

37

10

106

0,0058

0,0058

247

53

35

636

17

17

0,47426

12

DEPIE Cyrielle
(FRANCE AVENIR 2024)

20

62

13

35

9

166

0,0082

0,0082

15

3

12

42

0,0056

0,0056

225

79

31

571

12,4869

12,4869

0,46304

13

SAVIC Vanja
(LE CANNET)

26

56

6

17

6

87

0,0027

0,0027

4

4

1

12

0,0009

0,0009

33

8

12

96

7,5833

7,5833

0,34643

14

GIRGENTI Lila
(FRANCE AVENIR 2024)

17

39

2

22

1

71

0,0013

0,0013

6

9

7

33

0,0027

0,0027

53

25

19

203

1,7291

1,7291

0,34505

15

ILOAI Malia
(FRANCE AVENIR 2024)

3

8

0

0

0

13

0

0

4

1

1

9

0,0079

0,0079

12

4

2

38

1,2632

1,2632

0,33746

16

OLIVEIRA SOUZA Julie
(MULHOUSE)

24

48

2

12

2

49

0,001

0,001

14

9

4

39

0,0036

0,0036

53

8

7

123

14,8293

14,8293

0,33562

17

SECRETANT Noémie
(PARIS ST CLOUD)

12

17

1

0

2

16

0,0014

0,0014

3

2

0

5

0,0014

0,0014

8

1

1

19

5,3684

5,3684

0,32464

18

KOSTOVIC Milica
(MULHOUSE)

1

1

0

0

0

1

0

0

0

0

0

1

0

0

2

1

0

3

0,3333

0,3333

0,32453

19

TAOFIFENUA Gloria
(TERVILLE-FLORANGE)

5

7

0

0

0

2

0

0

1

1

0

2

0,0011

0,0011

0

0

0

1

0

0

0,32424

20

VELINOV Elitsa
(BEZIERS)

3

4

0

2

0

6

0

0

0

0

0

0

0

0

1

0

0

4

1

1

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