Ligue A Masculine

Play-Offs LAM 14/15

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

1

TUITOGA Philippe
(SPACER'S TOULOUSE)

2

8

11

4

0

15

0,0306

0,0306

0

2

0

20

0

0

9

1

1

16

3,5

3,5

0,49867

2

MC DONNELL Daniel
(TOURS VOLLEY-BALL)

3

12

9

16

0

27

0,0167

0,0167

1

7

2

43

0,0056

0,0056

16

3

0

27

5,7778

5,7778

0,44767

3

AGUENIER Jonas
(AS CANNES VOLLEY-BALL)

2

8

4

1

0

5

0,0111

0,0111

1

4

3

37

0,0111

0,0111

14

0

0

20

5,6

5,6

0,44204

4

KREEK Ardo
(PARIS VOLLEY)

6

25

11

17

0

33

0,0098

0,0098

7

16

5

93

0,0107

0,0107

32

4

7

53

9,9057

9,9057

0,43954

5

SIMAC Adam
(ASUL LYON VOLLEY)

5

20

13

24

0

49

0,0149

0,0149

2

4

1

58

0,0034

0,0034

17

5

1

38

5,7895

5,7895

0,42674

6

MCGIVERN Mark
(ASUL LYON VOLLEY)

5

18

11

10

0

28

0,0126

0,0126

3

2

0

63

0,0034

0,0034

21

2

1

36

9

9

0,41876

7

SMITH David
(TOURS VOLLEY-BALL)

3

12

6

8

1

21

0,0111

0,0111

1

7

2

38

0,0056

0,0056

20

3

0

26

7,8462

7,8462

0,41861

8

FERNANDEZ Jorge
(PARIS VOLLEY)

6

25

11

21

0

39

0,0098

0,0098

4

11

1

94

0,0045

0,0045

39

2

4

63

13,0952

13,0952

0,41439

9

RADTKE André Luiz
(SPACER'S TOULOUSE)

2

8

5

5

0

10

0,0139

0,0139

0

1

0

23

0

0

4

2

0

10

1,6

1,6

0,39754

10

BAHOV Dmitrii
(PARIS VOLLEY)

6

25

4

7

0

11

0,0036

0,0036

7

15

4

83

0,0098

0,0098

69

9

17

142

7,5704

7,5704

0,3952

11

VERHOEFF Rudy
(GFC AJACCIO VB)

2

7

2

0

0

5

0,0058

0,0058

1

0

2

23

0,0087

0,0087

7

2

2

18

1,1667

1,1667

0,39221

12

PETREAS Georgios
(GFC AJACCIO VB)

2

8

4

4

0

8

0,0116

0,0116

0

2

0

16

0

0

6

0

1

12

3,3333

3,3333

0,38731

13

JOUFFROY Quentin
(ASUL LYON VOLLEY)

4

10

5

3

0

8

0,0068

0,0068

2

4

0

22

0,0027

0,0027

3

1

0

8

2,5

2,5

0,36755

14

KOELEWIJN Thomas
(ARAGO SETE VOLLEY BALL)

1

3

1

1

0

2

0,0074

0,0074

0

0

0

4

0

0

5

0

0

5

3

3

0,36337

15

RADIC Dejan
(AS CANNES VOLLEY-BALL)

2

8

2

4

0

6

0,0056

0,0056

0

0

0

24

0

0

23

4

1

32

4,5

4,5

0,35556

16

KRAL Jiri
(BEAUVAIS OISE UC)

1

4

1

0

0

1

0,0053

0,0053

0

1

0

8

0

0

7

1

1

12

1,6667

1,6667

0,34986

17

DAILEY BRETT
(GFC AJACCIO VB)

2

3

1

1

0

7

0,0029

0,0029

1

0

0

9

0,0029

0,0029

3

1

1

10

0,3

0,3

0,34778

18

GENDREY Gary
(BEAUVAIS OISE UC)

1

4

0

0

0

0

0

0

0

1

1

11

0,0053

0,0053

5

1

0

9

1,7778

1,7778

0,34535

19

KABA Kevin
(PARIS VOLLEY)

1

1

1

0

0

1

0,0043

0,0043

0

0

0

0

0

0

1

0

0

1

1

1

0,34329

20

RODRIGUEZ Kévin
(BEAUVAIS OISE UC)

1

3

0

0

0

0

0

0

0

0

1

3

0,0053

0,0053

0

0

0

0

0

0

0,34262

21

HENRY Mederic
(ARAGO SETE VOLLEY BALL)

1

3

0

1

0

1

0

0

0

1

0

2

0

0

2

0

0

3

2

2

0,32208

22

RASIC Milan
(AS CANNES VOLLEY-BALL)

2

5

0

0

0

0

0

0

0

1

0

5

0

0

1

0

0

1

5

5

0,31911

23

BUREL Nicolas
(SPACER'S TOULOUSE)

2

3

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0,31911

24

SENGER Tommy
(ARAGO SETE VOLLEY BALL)

1

2

0

1

0

1

0

0

0

2

0

9

0

0

1

1

1

3

-0,6667

-0,6667

0,31813

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