Ligue A Masculine 15/16

Competition

Ligue A Masculine 15/16 Best players OPPOSITE
JoueursJouésServeServeBLKBLKAttaqueAttaqueRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.Index

1

GASPARINI Mitja
(PARIS VOLLEY)

32

126

78

159

38

555

0,0208

0,0208

38

73

3

134

0,0068

0,0068

453

123

87

1040

29,4404

29,4404

0,55006

2

HADRAVA Jan
(NANTES REZE METROPOLE V)

28

115

44

78

25

408

0,0134

0,0134

62

56

3

159

0,0121

0,0121

431

89

106

893

30,3919

30,3919

0,54176

3

MOREAU Marien
(ARAGO SETE VOLLEY BALL)

30

115

45

75

23

416

0,0127

0,0127

37

69

7

130

0,0069

0,0069

529

85

101

1088

36,2546

36,2546

0,53644

4

NIKOLOV Vladimir
(ASUL LYON VOLLEY)

25

102

46

67

23

392

0,015

0,015

31

61

4

146

0,0067

0,0067

402

67

93

922

26,7722

26,7722

0,50162

5

VAN WALLE Gert
(BEAUVAIS OISE UC)

25

94

27

80

18

382

0,0102

0,0102

38

61

3

142

0,0086

0,0086

397

80

76

839

27,0012

27,0012

0,48519

6

POEY ROMERO Raydel
(STADE POITEVIN VOLLEY BEACH)

26

100

25

91

12

319

0,0081

0,0081

37

59

7

141

0,0081

0,0081

455

94

94

905

29,5028

29,5028

0,48303

7

SIMOVSKI Jovica
(GFC AJACCIO VB)

25

95

23

54

27

397

0,0115

0,0115

22

45

0

87

0,005

0,005

438

77

115

934

25,0214

25,0214

0,46222

8

SCHNEIDER Philip
(MONTPELLIER VOLLEY UC)

25

91

16

63

13

347

0,0067

0,0067

26

57

1

126

0,006

0,006

416

99

63

827

27,9492

27,9492

0,45397

9

KONECNY David
(TOURS VOLLEY-BALL)

19

73

23

67

15

272

0,0113

0,0113

20

47

1

98

0,0059

0,0059

240

30

55

510

22,1863

22,1863

0,45256

10

SABBI Giulio
(TOURS VOLLEY-BALL)

8

31

11

35

7

100

0,0127

0,0127

16

19

1

51

0,0113

0,0113

97

15

19

203

9,6207

9,6207

0,43016

11

CULAFIC Milos
(SPACER'S TOULOUSE)

13

48

15

50

12

182

0,0117

0,0117

20

31

0

64

0,0087

0,0087

146

28

41

336

11

11

0,41643

12

BOYER Pierre Jean Stephen
(CHAUMONT VB 52)

12

50

18

55

9

188

0,0117

0,0117

21

21

3

55

0,0091

0,0091

179

38

71

435

8,046

8,046

0,40394

13

WENDT Jhon
(NARBONNE VOLLEY)

19

73

11

71

9

243

0,0057

0,0057

25

51

12

109

0,0072

0,0072

283

88

58

597

16,7521

16,7521

0,40083

14

FEUGHOUO David
(NICE VOLLEY-BALL)

8

28

9

21

3

93

0,0096

0,0096

13

14

0

36

0,0104

0,0104

106

36

28

262

4,4885

4,4885

0,38321

15

CORTEGGIANI Jordan
(GFC AJACCIO VB)

23

56

2

13

4

66

0,0014

0,0014

5

15

1

30

0,0012

0,0012

73

13

15

171

14,7368

14,7368

0,33538

16

JIMENEZ Ronald
(CHAUMONT VB 52)

17

42

8

23

10

105

0,0055

0,0055

5

26

2

52

0,0015

0,0015

113

35

25

258

8,6279

8,6279

0,33148

17

NEMETH Szabolcs
(GRAND NANCY VB)

3

8

1

7

0

27

0,0022

0,0022

4

0

0

4

0,0088

0,0088

33

7

5

76

2,2105

2,2105

0,32366

18

LOUATI Yacine
(SPACER'S TOULOUSE)

3

10

2

4

0

29

0,0037

0,0037

3

0

0

3

0,0055

0,0055

31

8

9

66

2,1212

2,1212

0,31408

19

KNUDSEN Kristian
(AS CANNES VOLLEY-BALL)

6

12

0

0

0

18

0

0

1

0

0

1

0,0009

0,0009

0

0

0

0

0

0

0,26548

20

PATRY Jean
(MONTPELLIER VOLLEY UC)

22

50

3

14

2

46

0,0013

0,0013

2

12

0

27

0,0005

0,0005

56

5

17

115

14,7826

14,7826

0,26351

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:  3