Coupe de France Pro M 2019

CDF Pro M 19

Coupe de France Pro M 2019 Best players MIDDLE BLOCKER
JoueursJouésServeServeBLKBLKAttaqueAttaqueRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.Index

1

TERYOMENKO Dmytro
(TOURS)

3

12

8

8

5

56

0,0233

0,0233

12

8

4

29

0,0215

0,0215

11

3

1

19

4,4211

4,4211

0,56225

2

TUITOGA Philippe
(NANTES REZE)

1

4

2

1

2

18

0,0213

0,0213

4

4

0

19

0,0213

0,0213

4

0

0

11

1,4545

1,4545

0,54594

3

KOELEWIJN Thomas
(POITIERS)

1

4

1

1

0

18

0,0052

0,0052

5

0

0

5

0,0262

0,0262

4

0

0

6

2,6667

2,6667

0,49729

4

DEMYANENKO Danny
(TOULOUSE)

1

5

4

2

0

16

0,0183

0,0183

3

0

1

4

0,0138

0,0138

5

0

2

9

1,6667

1,6667

0,48702

5

CHINENYEZE Barthélémy
(TOURS)

3

13

2

4

3

35

0,009

0,009

8

6

2

24

0,0143

0,0143

28

1

1

37

9,1351

9,1351

0,45641

6

SOL Jean-Philippe
(NARBONNE)

3

13

1

9

1

41

0,0034

0,0034

11

10

0

39

0,0188

0,0188

13

2

2

28

4,1786

4,1786

0,44681

7

AVERILL Taylor
(CHAUMONT)

2

6

0

6

2

17

0,0065

0,0065

3

8

0

19

0,0097

0,0097

13

0

1

18

4

4

0,40887

8

GEORGIEV Krasimir
(RENNES)

3

11

1

5

0

26

0,0018

0,0018

7

8

0

22

0,0126

0,0126

13

1

1

27

4,4815

4,4815

0,40329

9

PREVERT Gildas
(RENNES)

3

11

2

5

0

31

0,0036

0,0036

5

7

0

17

0,009

0,009

8

0

2

14

4,7143

4,7143

0,39175

10

VIGIL Alejandro
(NARBONNE)

3

11

2

9

2

33

0,0068

0,0068

2

11

0

28

0,0034

0,0034

17

4

2

31

3,9032

3,9032

0,37436

11

TOLEDO Pierre
(RENNES)

2

5

2

5

2

15

0,0108

0,0108

0

0

0

2

0

0

2

1

1

4

0

0

0,36759

12

RADTKE André Luiz
(TOULOUSE)

1

5

0

2

1

15

0,0046

0,0046

1

0

4

5

0,0046

0,0046

5

1

1

8

1,875

1,875

0,36724

13

MANUOHALALO Rodrigue
(NARBONNE)

3

11

2

4

1

33

0,0051

0,0051

2

9

0

15

0,0034

0,0034

8

2

3

21

1,5714

1,5714

0,36273

14

RODRIGUEZ Kévin
(CHAUMONT)

1

2

0

0

0

4

0

0

1

0

0

3

0,0078

0,0078

0

0

0

0

0

0

0,36088

15

FERNANDEZ Jorge
(CHAUMONT)

2

7

0

4

0

27

0

0

2

4

0

9

0,0065

0,0065

8

0

1

11

4,4545

4,4545

0,36063

16

ZOPIE Marc
(POITIERS)

1

4

0

1

0

8

0

0

1

0

0

1

0,0052

0,0052

5

0

0

8

2,5

2,5

0,3507

17

HENRY Mederic
(NANTES REZE)

1

4

0

3

1

14

0,0053

0,0053

0

8

0

14

0

0

2

0

1

4

1

1

0,34416

18

STAHL Mitchell
(TOURS)

1

1

0

1

0

2

0

0

1

2

0

4

0,0047

0,0047

0

1

0

5

-0,2

-0,2

0,34373

19

BUNEL Thomas
(RENNES)

1

4

0

0

0

5

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0,31911

20

KUTSMUS Andrii
(POITIERS)

1

2

0

1

0

2

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0,31911

21

BUREL Nicolas
(TOULOUSE)

1

1

0

0

0

1

0

0

0

0

0

0

0

0

0

0

0

2

0

0

0,31911

22

IOTEFA Baptiste
(RENNES)

1

1

0

0

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