Marmara SpikeLigue

Saison Régulière

Marmara SpikeLigue Best players OPPOSITE
JoueursJouésServeServeBLKBLKAttaqueAttaqueRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.Index

1

HIRSCH Simon
(NICE VOLLEY BALL)

4

15

6

13

3

52

0,0136

0,0136

12

12

1

36

0,0181

0,0181

57

7

15

134

3,9179

3,9179

0,44723

2

DIMITROV Dimitar
(MONTPELLIER HERAULT SPORTING CLUB VOLLEY)

4

14

8

15

3

56

0,0174

0,0174

7

3

1

18

0,0111

0,0111

61

8

11

112

5,25

5,25

0,43537

3

NIKOLIC Dusan
(ALTERNA STADE POITEVIN VOLLEY-BALL PRO)

4

13

7

16

3

68

0,0162

0,0162

6

10

0

27

0,0097

0,0097

54

6

10

108

4,5741

4,5741

0,4166

4

HAIKAL Reda
(AS CANNES)

3

12

6

13

2

48

0,0152

0,0152

4

8

0

14

0,0076

0,0076

31

9

5

81

2,5185

2,5185

0,38928

5

KOUKARTSEV Pablo
(SAEMS TOURCOING VOLLEY-BALL LILLE METROPOLE)

4

17

2

11

3

63

0,0067

0,0067

10

11

1

33

0,0135

0,0135

62

6

12

138

5,4203

5,4203

0,38847

6

TOLEDO Pierre
(CHAUMONT VOLLEY-BALL 52 HAUTE-MARNE)

4

16

6

16

2

55

0,0113

0,0113

5

21

1

33

0,007

0,007

54

4

9

117

5,6068

5,6068

0,37863

7

CANHAM Jordan
(SAINT-NAZAIRE VOLLEY-BALL ATLANTIQUE )

3

10

1

12

3

30

0,0084

0,0084

4

10

0

15

0,0084

0,0084

19

5

6

57

1,4035

1,4035

0,35071

8

SCHLIENGER Tristan
(ARAGO DE SETE VB)

3

8

3

5

1

27

0,0085

0,0085

3

3

0

9

0,0064

0,0064

26

4

4

45

3,2

3,2

0,34896

9

PLATACS Kristaps
(PLESSIS-ROBINSON VOLLEY-BALL)

3

9

0

8

2

30

0,005

0,005

3

8

0

18

0,0075

0,0075

30

8

5

65

2,3538

2,3538

0,3327

10

MUJANOVIC Nik
(PARIS VOLLEY)

3

9

2

11

1

31

0,0072

0,0072

2

7

1

14

0,0048

0,0048

38

12

8

94

1,7234

1,7234

0,32689

11

NIKULA Aaro
(NARBONNE VOLLEY)

3

10

2

2

2

22

0,0074

0,0074

1

4

0

11

0,0018

0,0018

24

6

6

54

2,2222

2,2222

0,31491

12

CARDIN Célestin
(ARAGO DE SETE VB)

1

3

0

3

1

10

0,0054

0,0054

1

3

0

6

0,0054

0,0054

6

2

3

17

0,1765

0,1765

0,31392

13

WINKELMULLER Julien
(SPACER'S TOULOUSE VOLLEY)

3

14

1

7

2

47

0,005

0,005

0

7

0

16

0

0

53

4

8

92

6,2391

6,2391

0,31046

14

SCHOUTEN CASEY
(NARBONNE VOLLEY)

1

5

0

5

0

16

0

0

1

3

0

4

0,0049

0,0049

22

4

1

34

2,5

2,5

0,29443

15

FERAL Nathan
(SPACER'S TOULOUSE VOLLEY)

3

12

1

6

0

12

0,0017

0,0017

0

0

0

0

0

0

3

0

1

4

6

6

0,26884

16

FAGANAS Julien
(TOURS VOLLEY-BALL)

3

5

0

1

0

5

0

0

0

0

0

0

0

0

0

3

0

7

-2,1429

-2,1429

0,2612

17

LEON Henri
(SAINT-NAZAIRE VOLLEY-BALL ATLANTIQUE )

3

4

0

3

0

6

0

0

0

1

0

6

0

0

5

2

3

16

0

0

0,2612

18

DIOP Cheikh
(CHAUMONT VOLLEY-BALL 52 HAUTE-MARNE)

2

2

0

1

0

2

0

0

0

1

0

2

0

0

1

0

0

3

0,6667

0,6667

0,2612

19

NAMBOUE Check-Ethan
(NICE VOLLEY BALL)

1

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0,2612

20

BYAM Christopher
(ALTERNA STADE POITEVIN VOLLEY-BALL PRO)

1

1

0

1

0

3

0

0

0

0

0

0

0

0

2

1

1

5

0

0

0,2612

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