Marmara SpikeLigue

Play-Offs MSL

Marmara SpikeLigue Best players MIDDLE BLOCKER
JoueursJouésBLKBLKServeServeAttaqueAttaqueRanking
  MS#=/TotBl ind.Bl ind.#=/TotSv ind.Sv ind.#=/TotSp ind.Sp ind.Index

1

HUETZ François
(NANTES REZE)

3

12

11

14

2

33

0,0201

0,0201

1

12

1

31

0,0037

0,0037

11

2

2

28

3

3

0,45417

2

MENDES SPENCER Helder Roni
(SAINT-NAZAIRE)

7

28

16

29

1

70

0,0127

0,0127

6

15

2

99

0,0063

0,0063

68

1

2

91

20

20

0,45181

3

FASTELAND Rune
(TOURCOING )

2

6

8

7

0

20

0,0223

0,0223

0

0

0

8

0

0

10

1

1

14

3,4286

3,4286

0,44941

4

GASMAN Patrick
(CHAUMONT)

5

20

12

25

1

52

0,013

0,013

3

23

4

63

0,0076

0,0076

43

4

2

65

11,3846

11,3846

0,44589

5

GARGIULO Giovanni-Maria
(TOURCOING )

7

22

17

35

0

75

0,0134

0,0134

2

5

4

76

0,0047

0,0047

44

6

4

66

11,3333

11,3333

0,4337

6

PARKINSON Michael
(TOURS)

6

27

19

30

1

81

0,016

0,016

1

1

0

64

0,0008

0,0008

36

3

4

61

12,8361

12,8361

0,43245

7

SCHNITZER Jordan
(SAINT-NAZAIRE)

7

28

14

28

1

64

0,0111

0,0111

3

26

4

81

0,0055

0,0055

50

4

1

81

15,5556

15,5556

0,43115

8

MAASE LUKAS
(PARIS)

3

11

4

13

1

19

0,0077

0,0077

2

6

4

39

0,0116

0,0116

16

2

1

32

4,4687

4,4687

0,42263

9

MC DONNELL Daniel
(CHAUMONT)

5

15

4

17

0

32

0,0043

0,0043

7

5

6

75

0,0141

0,0141

26

3

2

41

7,6829

7,6829

0,42075

10

KRAGE Florian
(TOULOUSE)

5

20

12

27

1

52

0,0133

0,0133

1

10

1

57

0,0022

0,0022

39

5

5

60

9,6667

9,6667

0,41823

11

NASCIMENTO DOS SANTOS Leandro
(TOURS)

6

27

10

29

1

76

0,0084

0,0084

3

22

3

102

0,0051

0,0051

26

0

4

46

12,913

12,913

0,40902

12

LE GOFF Nicolas
(MONTPELLIER)

3

14

6

16

0

40

0,0098

0,0098

0

3

2

46

0,0033

0,0033

23

2

1

35

8

8

0,40016

13

DEMYANENKO Danny
(MONTPELLIER)

1

5

2

7

0

11

0,0092

0,0092

0

4

1

19

0,0046

0,0046

9

1

1

15

2,3333

2,3333

0,39409

14

DE OLIVEIRA MONTES DA SILVA Petrus
(NANTES REZE)

3

12

5

14

1

26

0,0092

0,0092

1

3

1

43

0,0037

0,0037

14

3

1

33

3,6364

3,6364

0,39137

15

WETTER Daniel
(PARIS)

3

10

4

10

1

19

0,0077

0,0077

0

5

2

38

0,0039

0,0039

9

3

0

20

3

3

0,38316

16

NACK MINYEM Lohan
(TOULOUSE)

5

20

6

16

2

41

0,0067

0,0067

2

14

1

73

0,0033

0,0033

18

5

2

45

4,8889

4,8889

0,37772

17

FREIMANIS Gustavs
(TOURCOING )

8

26

11

27

0

63

0,0076

0,0076

0

8

0

43

0

0

30

1

6

58

10,3103

10,3103

0,37606

18

SEDDIK Joris
(MONTPELLIER)

2

9

3

9

0

22

0,0076

0,0076

0

10

1

20

0,0025

0,0025

10

4

3

23

1,1739

1,1739

0,37314

19

JURKOVICS Mathaus
(PARIS)

2

4

2

4

0

8

0,0061

0,0061

0

2

0

7

0

0

1

0

0

1

4

4

0,35171

20

MARSHMAN Michael
(CHAUMONT)

4

13

2

6

0

10

0,0027

0,0027

1

3

1

39

0,0027

0,0027

7

1

2

17

3,0588

3,0588

0,35047

21

MAGNIN Simon
(NANTES REZE)

3

6

1

1

1

3

0,0018

0,0018

0

3

1

9

0,0018

0,0018

2

1

0

3

2

2

0,3368

22

PREVERT Gildas
(TOURS)

4

6

0

0

0

0

0

0

1

0

1

7

0,0025

0,0025

0

0

0

0

0

0

0,32999

23

BUREL Nicolas
(SAINT-NAZAIRE)

7

17

0

0

0

0

0

0

0

3

0

26

0

0

0

0

0

0

0

0

0,31911

24

MICHEL Axel
(TOULOUSE)

3

5

0

1

0

2

0

0

0

0

0

1

0

0

0

0

0

1

0

0

0,31911

25

KLAJMON Jakub
(TOURS)

3

4

0

0

0

2

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0,31911

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