Ligue B Masculine

Play-Offs LBM

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

1

BIGLINO Omar
(CANNES)

7

25

5

13

4

89

0,0081

0,0081

13

23

0

43

0,0117

0,0117

45

2

1

68

15,4412

15,4412

0,44714

2

WEIDNER Killian
(AJACCIO)

8

33

2

13

5

77

0,0047

0,0047

21

24

0

61

0,0142

0,0142

34

5

4

65

12,6923

12,6923

0,44035

3

LOUIS MARIE William
(CAMBRAI)

7

28

0

6

1

78

0,0008

0,0008

22

24

10

74

0,0172

0,0172

32

3

5

55

12,2182

12,2182

0,43788

4

WEIR James
(CANNES)

7

25

4

8

5

99

0,0081

0,0081

12

17

0

39

0,0108

0,0108

30

8

2

56

8,9286

8,9286

0,43093

5

KOFANE BOYOMO Joseph-Hervé
(ROYAN)

6

20

1

8

3

66

0,0044

0,0044

13

21

5

58

0,0141

0,0141

28

3

7

59

6,1017

6,1017

0,42751

6

KABA Kevin
(SAINT-QUENTIN)

4

17

1

7

1

52

0,0027

0,0027

10

6

7

44

0,0133

0,0133

31

5

1

52

8,1731

8,1731

0,41789

7

ROATTA Sebastian
(AJACCIO)

8

35

2

12

2

107

0,0027

0,0027

16

31

0

60

0,0108

0,0108

40

3

6

75

14,4667

14,4667

0,41378

8

RIBEIRO DE OLIVEIRA Luiz-Philippe
(SAINT-QUENTIN)

4

15

1

3

2

48

0,004

0,004

8

7

10

32

0,0107

0,0107

18

2

1

34

6,6176

6,6176

0,40638

9

STROUKAREVITS Marios
(MARTIGUES)

3

14

0

8

2

46

0,0036

0,0036

6

7

0

17

0,0108

0,0108

16

3

1

43

3,907

3,907

0,40082

10

PRANKO Vadzim
(CAMBRAI)

7

28

2

1

0

86

0,0016

0,0016

12

19

10

62

0,0094

0,0094

31

2

4

69

10,1449

10,1449

0,39309

11

BRUCKERT Thiebault
(ROYAN)

4

12

4

5

1

47

0,0085

0,0085

3

13

1

26

0,0051

0,0051

15

2

2

32

4,125

4,125

0,39191

12

MOCANU Pavel
(MARTIGUES)

3

14

2

2

1

42

0,0054

0,0054

4

10

0

18

0,0072

0,0072

22

1

4

43

5,5349

5,5349

0,39154

13

DE SOUZA FAUSTINO PEREIRA MATHEUS
(MENDE)

3

10

0

1

4

25

0,0089

0,0089

2

10

0

12

0,0045

0,0045

14

1

3

24

4,1667

4,1667

0,39077

14

SALLES ARAUJO LUCAS
(MENDE)

3

10

3

6

0

27

0,0067

0,0067

3

21

0

27

0,0067

0,0067

15

4

2

34

2,6471

2,6471

0,39037

15

SOL Jean-Philippe
(FREJUS)

4

13

1

0

4

40

0,0077

0,0077

2

13

3

28

0,0031

0,0031

9

0

1

26

4

4

0,37661

16

PAUMELLE Marius
(CANNES)

1

1

0

0

0

0

0

0

1

0

0

1

0,0081

0,0081

1

0

0

1

1

1

0,36421

17

VIEUX Corentin
(ROYAN)

5

11

1

3

2

33

0,0041

0,0041

1

5

1

24

0,0014

0,0014

4

0

1

12

2,75

2,75

0,34854

18

KLOPOVS Olegs
(CAMBRAI)

4

8

3

5

0

25

0,0042

0,0042

1

2

0

5

0,0014

0,0014

2

1

0

7

1,1429

1,1429

0,34538

19

SOLTIN Joël
(SAINT-QUENTIN)

3

4

1

0

1

9

0,0037

0,0037

0

2

2

7

0

0

4

0

0

6

2,6667

2,6667

0,33927

20

SOCIE Victor
(AJACCIO)

2

6

1

2

0

8

0,0029

0,0029

0

0

0

0

0

0

1

0

0

1

6

6

0,33201

21

MABIALA Vincent
(AJACCIO)

6

17

1

3

0

29

0,0009

0,0009

1

2

0

5

0,0009

0,0009

2

0

1

5

3,4

3,4

0,32781

22

ROULLEAU Antonin
(MARTIGUES)

2

2

0

0

0

2

0

0

0

0

0

0

0

0

2

0

0

3

1,3333

1,3333

0,32109

23

RULKIN Noah
(CAMBRAI)

1

3

0

1

0

4

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0,31911

24

SERAFIN Sergiusz
(AJACCIO)

1

2

0

1

0

1

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