Coupe de France PRO 2018 Féminine

Phases finales

Coupe de France PRO 2018 Féminine Best players MIDDLE BLOCKER
JoueursJouésServeServeBLKBLKAttaqueAttaqueRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.Index

1

MICHEL Ciara
(ASPTT MULHOUSE)

1

4

2

2

2

13

0,0204

0,0204

3

2

0

5

0,0153

0,0153

10

1

1

16

2

2

0,61103

2

VUKASOVIC Lara
(SF PARIS SC)

1

4

2

0

0

10

0,0114

0,0114

4

2

0

11

0,0229

0,0229

4

1

0

10

1,2

1,2

0,58026

3

HASANOVA Olena
(ENTENTE SPORTIVE DU CANNET ROCHEVILLE VOLLEY-BALL)

2

9

0

1

2

22

0,0052

0,0052

11

6

1

24

0,0286

0,0286

15

2

3

30

3

3

0,56664

4

TRACH Olga
(ASPTT MULHOUSE)

1

3

4

0

1

15

0,0255

0,0255

0

0

0

0

0

0

2

0

1

7

0,4286

0,4286

0,55427

5

LAZCANO Julieta
(AS SP ST RAPHAEL)

1

4

1

0

0

18

0,0051

0,0051

5

3

0

8

0,0255

0,0255

9

1

1

18

1,5556

1,5556

0,54252

6

KLOSTER Myriam
(RC CANNES)

1

5

1

0

0

18

0,0048

0,0048

5

0

0

5

0,0239

0,0239

4

0

2

12

0,8333

0,8333

0,52789

7

ROLFZEN Amber
(BEZIERS VOLLEY)

1

4

2

2

0

16

0,0099

0,0099

3

10

0

13

0,0148

0,0148

6

0

0

12

2

2

0,51511

8

LEGGS Kiesha
(AS SP ST RAPHAEL)

1

3

0

1

1

8

0,0051

0,0051

4

0

0

4

0,0204

0,0204

6

1

1

10

1,2

1,2

0,50827

9

KAUFFELDT Berit
(VOLLEY-BALL NANTES)

1

4

1

1

1

15

0,0099

0,0099

2

3

0

5

0,0099

0,0099

8

0

0

17

1,8824

1,8824

0,48239

10

ORLE Maeva
(SF PARIS SC)

1

4

2

5

0

13

0,0114

0,0114

1

2

0

8

0,0057

0,0057

6

2

0

16

1

1

0,46751

11

PIHLAJAMAKI Laura
(VOLLEY-BALL NANTES)

1

4

2

1

1

9

0,0148

0,0148

0

3

0

3

0

0

1

0

0

2

2

2

0,45787

12

BLAND Angie
(RC CANNES)

1

2

1

1

1

7

0,0096

0,0096

1

0

0

1

0,0048

0,0048

3

1

0

5

0,8

0,8

0,44457

13

GIEL RAMOS ROSANNA
(ENTENTE SPORTIVE DU CANNET ROCHEVILLE VOLLEY-BALL)

2

9

0

5

2

18

0,0052

0,0052

2

2

0

4

0,0052

0,0052

12

3

1

21

3,4286

3,4286

0,4141

14

ZAHORA VLATKA
(AS SP ST RAPHAEL)

1

3

0

2

1

5

0,0051

0,0051

1

0

0

1

0,0051

0,0051

1

0

0

1

3

3

0,4061

15

GAUTHIER-RAT Marion
(VOLLEY-BALL NANTES)

1

3

1

1

0

11

0,0049

0,0049

1

4

0

5

0,0049

0,0049

4

1

0

15

0,6

0,6

0,40458

16

CASANOVA ALVAREZ Heidy
(ENTENTE SPORTIVE DU CANNET ROCHEVILLE VOLLEY-BALL)

2

7

1

3

0

14

0,0026

0,0026

2

1

0

3

0,0052

0,0052

25

4

4

57

2,0877

2,0877

0,38925

17

SOTO Yeisy
(BEZIERS VOLLEY)

1

4

0

1

0

19

0

0

1

6

0

7

0,0049

0,0049

10

1

0

19

1,8947

1,8947

0,36529

18

ABRHAMOVA Michaela
(ASPTT MULHOUSE)

1

2

0

0

0

5

0

0

1

2

0

3

0,0051

0,0051

5

0

2

11

0,5455

0,5455

0,36396

19

BAUER Christina
(RC CANNES)

1

4

0

0

0

10

0

0

0

0

0

0

0

0

6

2

0

12

1,3333

1,3333

0,33475

20

KULLERKANN Liis
(SF PARIS SC)

1

3

0

2

0

6

0

0

0

2

0

2

0

0

1

0

0

3

1

1

0,33417

21

GARREAU DJE Marie-France
(ENTENTE SPORTIVE DU CANNET ROCHEVILLE VOLLEY-BALL)

2

2

0

1

0

2

0

0

0

1

0

1

0

0

1

1

0

6

0

0

0,33246

22

GARCIA Clémence
(BEZIERS VOLLEY)

1

1

0

1

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