Ligue A Féminine

Play-Offs LAF

Ligue A Féminine Best players MIDDLE BLOCKER
JoueursJouésServeServeBLKBLKAttaqueAttaqueRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.Index

1

FELIX Claire Davis
(CANNES)

4

17

1

2

9

61

0,0133

0,0133

22

20

0

62

0,0292

0,0292

39

2

3

77

7,5065

7,5065

0,64714

2

ALEKSIC Maja
(LE CANNET)

7

27

3

11

4

82

0,0059

0,0059

24

21

0

69

0,0201

0,0201

46

2

5

79

13,3291

13,3291

0,53622

3

SIDIBE MARIAM
(TERVILLE FLORANGE)

4

14

2

1

3

53

0,0078

0,0078

12

23

0

55

0,0188

0,0188

34

5

1

64

6,125

6,125

0,53131

4

VAN AVERMAET Silke
(MULHOUSE)

7

27

5

8

6

102

0,009

0,009

20

18

0

52

0,0163

0,0163

48

4

6

115

8,9217

8,9217

0,53084

5

KLOSTER Myriam
(PAYS D'AIX VENELLES)

2

8

2

1

3

28

0,0145

0,0145

3

13

0

27

0,0087

0,0087

5

1

3

17

0,4706

0,4706

0,51295

6

BLENCKERS Lynn
(SAINT-RAPHAEL)

2

6

0

3

1

16

0,0037

0,0037

5

1

0

6

0,0187

0,0187

10

1

1

18

2,6667

2,6667

0,4873

7

PARADZIK Ajla
(SAINT-RAPHAEL)

1

3

0

1

1

11

0,007

0,007

2

0

0

2

0,0141

0,0141

7

2

0

17

0,8824

0,8824

0,48328

8

POLDER Tessa
(LE CANNET)

7

27

4

6

2

106

0,005

0,005

14

20

0

49

0,0117

0,0117

45

6

3

81

12

12

0,47106

9

VEGLIA Tiziana
(CANNES)

4

17

1

4

2

61

0,004

0,004

10

24

0

58

0,0133

0,0133

21

1

2

52

5,8846

5,8846

0,46038

10

SAGER-WEIDER Isaline
(TERVILLE FLORANGE)

3

8

3

3

0

36

0,0071

0,0071

4

13

0

25

0,0095

0,0095

4

1

0

18

1,3333

1,3333

0,45508

11

TRACH Olga
(PAYS D'AIX VENELLES)

2

8

0

0

1

26

0,0029

0,0029

5

13

0

28

0,0145

0,0145

12

1

0

28

3,1429

3,1429

0,45309

12

STANIULYTE Ruta
(TERVILLE FLORANGE)

2

6

0

4

1

21

0,0028

0,0028

5

9

0

22

0,0141

0,0141

12

2

0

22

2,7273

2,7273

0,44959

13

YLLESCAS Clarivett
(MARCQ EN BAROEUL)

2

7

0

2

2

19

0,0069

0,0069

2

4

0

7

0,0069

0,0069

11

1

0

22

3,1818

3,1818

0,43892

14

CARABALI DE LA CRUZ Valerin
(MARCQ EN BAROEUL)

2

7

0

2

2

20

0,0069

0,0069

2

3

0

7

0,0069

0,0069

8

3

3

22

0,6364

0,6364

0,43409

15

KEENE Jaelyn
(NANTES)

2

6

0

3

1

25

0,0035

0,0035

3

11

2

20

0,0105

0,0105

8

0

3

18

1,6667

1,6667

0,4302

16

OLINGA ANDELA Leandra
(MULHOUSE)

7

20

2

4

2

62

0,0033

0,0033

10

29

0

52

0,0082

0,0082

26

2

2

45

9,7778

9,7778

0,42812

17

LAMPROUSI Georgia
(MULHOUSE)

5

17

3

2

1

43

0,0046

0,0046

3

3

0

10

0,0035

0,0035

7

2

1

20

3,4

3,4

0,39766

18

MEYER Lou
(NANTES)

1

3

0

0

1

3

0,0066

0,0066

0

0

0

0

0

0

0

0

0

0

0

0

0,38652

19

SCHAD Lauren
(NANTES)

2

5

0

0

0

9

0

0

1

5

0

9

0,0035

0,0035

6

1

1

16

1,25

1,25

0,35552

20

KULLERKANN Liis
(PAYS D'AIX VENELLES)

2

5

0

0

0

9

0

0

1

1

0

2

0,0029

0,0029

2

0

0

4

2,5

2,5

0,3496

21

MINIUK Yulia
(CANNES)

1

1

0

0

0

0

0

0

0

1

0

1

0

0

2

0

0

2

1

1

0,33417

22

JACOBSEN Megan
(NANTES)

1

2

0

0

0

3

0

0

0

3

0

3

0

0

1

0

0

3

0,6667

0,6667

0,3336

23

GATARD Fantine
(SAINT-RAPHAEL)

1

1

0

0

0

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0,33246

Calcul du classement

Central

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:  1

Serve

  • # serve ace

  • / half point

  • = serve error

Attaque

  • # point

  • / blocked

  • = error

BLK

  • # point

  • / invasion

  • = hand out

Filters applied

  • Minimum number of Matches played:  1