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

MUJANOVIC Nik
(TOURS)

4

15

6

16

2

59

0,012

0,012

13

7

0

38

0,0194

0,0194

76

6

7

136

6,9485

6,9485

0,46015

2

MOLOTKOV VASILI
(PARIS)

4

17

6

23

3

70

0,0118

0,0118

11

10

0

28

0,0144

0,0144

65

9

9

137

5,8321

5,8321

0,42478

3

NIKOLIC Dusan
(POITIERS)

2

7

6

7

1

27

0,0198

0,0198

3

3

0

6

0,0085

0,0085

16

3

2

36

2,1389

2,1389

0,4192

4

SCHLIENGER Tristan
(SETE)

4

16

4

23

5

57

0,0132

0,0132

7

8

0

23

0,0103

0,0103

49

10

14

95

4,2105

4,2105

0,40112

5

DULSKI DAWID
(NICE)

4

18

5

9

1

78

0,0078

0,0078

8

8

0

28

0,0103

0,0103

86

11

13

154

7,2468

7,2468

0,38508

6

JOHN Filip
(SAINT-NAZAIRE)

4

17

2

11

8

60

0,0131

0,0131

4

9

1

17

0,0052

0,0052

74

12

10

155

5,7032

5,7032

0,37911

7

HIRSCH Simon
(MONTPELLIER)

4

12

2

14

4

51

0,0088

0,0088

5

8

0

26

0,0073

0,0073

49

7

6

99

4,3636

4,3636

0,36106

8

WA BALA Joevin
(PLESSIS-ROBINSON)

4

17

4

14

1

57

0,0066

0,0066

6

12

1

25

0,0079

0,0079

54

11

20

116

3,3707

3,3707

0,3475

9

MARTINS DE PINHO Daniel
(AJACCIO)

4

14

4

9

3

60

0,0107

0,0107

2

5

0

17

0,0031

0,0031

61

9

18

127

3,748

3,748

0,34547

10

MARTY Joshua
(CHAUMONT)

4

13

4

16

0

41

0,0061

0,0061

5

9

0

24

0,0077

0,0077

27

4

6

67

3,2985

3,2985

0,34338

11

KETRZYNSKI XANDER
(CANNES)

4

15

3

19

1

58

0,0058

0,0058

4

15

0

27

0,0058

0,0058

69

10

11

145

4,9655

4,9655

0,33895

12

BERIOT Timo
(TOULOUSE)

4

17

1

13

2

59

0,0038

0,0038

6

12

0

25

0,0076

0,0076

79

20

14

172

4,4477

4,4477

0,336

13

ANTOV Venislav
(TOURCOING)

4

15

4

19

1

49

0,0072

0,0072

3

9

0

28

0,0043

0,0043

57

6

17

124

4,1129

4,1129

0,3354

14

KOBRINE Kévin
(POITIERS)

4

15

2

10

1

41

0,0042

0,0042

4

8

0

21

0,0057

0,0057

35

8

5

78

4,2308

4,2308

0,32712

15

TOLEDO Pierre
(CHAUMONT)

4

8

1

11

0

22

0,0015

0,0015

4

5

1

14

0,0061

0,0061

23

6

9

70

0,9143

0,9143

0,30135

16

CHERFAN Anthony
(SAINT-NAZAIRE)

1

2

0

1

0

2

0

0

1

0

0

3

0,0052

0,0052

3

0

0

7

0,8571

0,8571

0,28893

17

MATHIAS Vincent
(MONTPELLIER)

4

13

1

2

1

11

0,0029

0,0029

2

2

0

8

0,0029

0,0029

17

3

2

30

5,2

5,2

0,27477

18

BOUALLEGUE Khaled
(AJACCIO)

4

10

2

2

0

7

0,0031

0,0031

1

1

0

3

0,0015

0,0015

3

3

1

9

-1,1111

-1,1111

0,26821

19

BISGAARD KRISTOFFER
(NARBONNE)

4

7

0

0

0

6

0

0

1

1

0

2

0,0014

0,0014

5

0

2

11

1,9091

1,9091

0,26778

20

SABLATNIG Benedikt
(SETE)

4

6

0

1

0

1

0

0

0

0

0

0

0

0

1

0

1

2

0

0

0,2612

21

TAKAHASHI Keihan
(PARIS)

2

2

0

1

0

1

0

0

0

1

0

1

0

0

0

0

0

2

0

0

0,2612

22

NAMBOUE Check-Ethan
(NICE)

1

1

0

0

0

0

0

0

0

0

0

0

0

0

1

0

0

1

1

1

0,2612

23

SAMBOU MOUSTAPHA
(AJACCIO)

1

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0,2612

24

DA SILVA JUNIOR Marcelo José
(TOULOUSE)

1

1

0

1

0

1

0

0

0

0

0

1

0

0

0

0

0

0

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