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

JOUFFROY Quentin
(MONTPELLIER)

6

20

12

25

0

78

0,0135

0,0135

6

11

7

77

0,0147

0,0147

24

1

2

53

7,9245

7,9245

0,47804

2

STAHL Mitchell
(TOURCOING)

2

8

6

8

0

26

0,0168

0,0168

1

7

3

29

0,0112

0,0112

6

0

2

11

2,9091

2,9091

0,47165

3

MAGNIN Simon
(POITIERS)

6

20

11

20

0

57

0,0126

0,0126

6

26

6

79

0,0137

0,0137

27

3

3

49

8,5714

8,5714

0,46842

4

LE GOFF Nicolas
(MONTPELLIER)

6

20

16

20

0

52

0,0181

0,0181

2

5

3

89

0,0056

0,0056

39

2

2

60

11,6667

11,6667

0,4663

5

HUETZ François
(PARIS)

4

16

10

25

1

61

0,0141

0,0141

4

14

3

55

0,0099

0,0099

25

1

2

38

9,2632

9,2632

0,45978

6

VAN DER ENT Cornelis Luuc
(SETE)

4

15

9

21

0

54

0,0133

0,0133

5

11

1

59

0,0089

0,0089

29

3

2

44

8,1818

8,1818

0,44816

7

MAASE LUKAS
(POITIERS)

2

6

6

9

1

28

0,0179

0,0179

0

3

1

16

0,003

0,003

9

0

2

16

2,625

2,625

0,43667

8

WETTER Daniel
(PARIS)

4

16

7

12

0

27

0,0099

0,0099

2

11

1

63

0,0042

0,0042

18

1

2

24

10

10

0,40859

9

KALATO Jean-Marc
(SETE)

1

3

3

2

0

9

0,0138

0,0138

0

1

0

9

0

0

2

1

0

4

0,75

0,75

0,39543

10

ZERBA Nicolas
(SETE)

4

13

6

15

0

50

0,0089

0,0089

0

8

1

34

0,0015

0,0015

19

4

5

44

2,9545

2,9545

0,37828

11

TELLEZ RODRIGUEZ Axel
(TOULOUSE)

2

5

2

5

0

11

0,0074

0,0074

1

5

0

12

0,0037

0,0037

3

2

0

10

0,5

0,5

0,37664

12

EKMAN Jacob
(CANNES AS)

2

7

2

9

0

19

0,0065

0,0065

0

5

1

23

0,0033

0,0033

7

0

0

10

4,9

4,9

0,37659

13

ESHENKO Pearson
(POITIERS)

6

15

2

13

2

25

0,0023

0,0023

1

2

3

45

0,0046

0,0046

20

0

1

32

8,9062

8,9062

0,3655

14

VOSS MESSIAS DOS SANTOS Guilherme
(TOURS)

2

6

2

6

0

19

0,0055

0,0055

0

1

0

20

0

0

7

0

0

11

3,8182

3,8182

0,35433

15

MARSHMAN Michael
(TOURS)

2

4

2

3

0

10

0,0055

0,0055

0

4

0

13

0

0

4

0

0

5

3,2

3,2

0,35336

16

ROEHRIG Simon
(TOURCOING)

2

7

2

4

0

15

0,0056

0,0056

0

4

0

15

0

0

7

3

1

18

1,1667

1,1667

0,35062

17

NASCIMENTO DOS SANTOS Leandro
(TOURS)

2

6

1

8

0

11

0,0028

0,0028

0

7

0

19

0

0

6

1

1

10

2,4

2,4

0,33724

18

TUITOGA Philippe
(TOURCOING)

2

6

1

2

0

6

0,0028

0,0028

0

1

0

18

0

0

2

0

1

9

0,6667

0,6667

0,33481

19

WEIR James
(CANNES AS)

2

3

0

3

0

5

0

0

1

0

0

10

0,0033

0,0033

3

2

1

8

0

0

0,33341

20

DUTHOIT Jules
(TOULOUSE)

2

6

0

7

0

9

0

0

0

1

0

16

0

0

9

0

1

14

3,4286

3,4286

0,32421

21

BIGLINO Omar
(CANNES AS)

2

5

0

1

0

5

0

0

0

2

0

15

0

0

5

0

2

11

1,3636

1,3636

0,32114

22

LAURENCE Yann
(PARIS)

2

5

0

0

0

1

0

0

0

0

0

2

0

0

0

0

0

0

0

0

0,31911

23

GUERIN Augustin
(TOULOUSE)

2

3

0

2

0

2

0

0

0

2

0

6

0

0

0

0

0

1

0

0

0,31911

24

PAUMELLE Marius
(CANNES AS)

1

1

0

0

0

0

0

0

0

1

0

1

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