Ligue A Masculine 22-23

Competition

Ligue A Masculine 22-23 Best players OPPOSITE
JoueursJouésServeServeBLKBLKAttaqueAttaqueRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.Index

1

NEVES ATU Chizoba Eduardo
(NANTES REZE)

31

116

50

117

34

501

0,0162

0,0162

42

61

0

160

0,0081

0,0081

604

98

82

1140

43,1439

43,1439

0,59697

2

FAURE Theo
(MONTPELLIER)

35

132

40

103

30

521

0,0117

0,0117

39

77

2

198

0,0065

0,0065

547

87

100

1116

42,5806

42,5806

0,55889

3

ENSING Kyle
(SAINT-NAZAIRE)

37

133

41

120

36

520

0,0124

0,0124

38

83

3

185

0,0061

0,0061

490

75

70

1128

40,6782

40,6782

0,55186

4

RUSSELL Kyle
(SETE)

32

113

72

95

21

470

0,0171

0,0171

34

60

0

146

0,0062

0,0062

453

90

82

995

31,9126

31,9126

0,5367

5

DRAME NETO Aboubacar
(TOURS)

31

115

23

113

17

421

0,0076

0,0076

47

87

2

230

0,009

0,009

476

93

79

910

38,4176

38,4176

0,52902

6

BUIATTI Renan
(TOURCOING)

33

132

15

52

15

395

0,0051

0,0051

49

83

4

262

0,0083

0,0083

452

92

72

958

39,6827

39,6827

0,51647

7

VETTORI Luca
(NARBONNE)

31

121

36

95

18

436

0,0099

0,0099

39

68

5

196

0,0071

0,0071

409

63

88

935

33,3882

33,3882

0,50635

8

INDRA Patrik
(CHAUMONT)

35

115

23

108

16

407

0,0065

0,0065

29

76

0

159

0,0048

0,0048

395

36

84

793

39,8802

39,8802

0,50535

9

DA SILVA CANDIDO Gabriel José
(POITIERS)

30

110

28

127

10

355

0,0073

0,0073

47

72

3

184

0,009

0,009

484

99

86

972

33,8374

33,8374

0,50489

10

CAGLIARI Daniel
(TOULOUSE)

25

96

34

83

16

377

0,0114

0,0114

9

42

0

77

0,0021

0,0021

374

70

82

724

29,4365

29,4365

0,46614

11

JEANLYS Samuel Nathan
(PLESSIS-ROBINSON)

26

103

16

121

10

336

0,0055

0,0055

43

78

4

201

0,0091

0,0091

414

92

82

888

27,8378

27,8378

0,46445

12

CARDIN Célestin
(NICE)

21

81

18

75

10

264

0,0075

0,0075

15

38

0

97

0,004

0,004

279

42

54

555

26,7081

26,7081

0,44099

13

LAWANI Ibrahim
(PARIS)

13

51

9

35

7

143

0,0066

0,0066

16

28

0

71

0,0066

0,0066

198

17

42

361

19,6371

19,6371

0,41665

14

EGLESKALNS Hermans
(CAMBRAI)

16

59

14

45

10

220

0,0087

0,0087

12

50

0

122

0,0043

0,0043

260

40

55

542

17,9613

17,9613

0,40762

15

WEISIGK Julian
(PARIS)

31

88

22

45

13

288

0,0069

0,0069

13

31

0

76

0,0026

0,0026

199

43

49

484

19,4545

19,4545

0,39437

16

TOLEDO Pierre
(CHAUMONT)

28

65

11

40

5

127

0,0033

0,0033

10

24

0

58

0,002

0,002

134

18

41

276

17,663

17,663

0,36276

17

DIOP Cheikh
(SETE)

22

55

11

30

5

142

0,0041

0,0041

9

19

2

50

0,0023

0,0023

122

27

24

278

14,0468

14,0468

0,35213

18

PAOLINETTI Luis
(NICE)

18

41

5

26

3

99

0,0025

0,0025

4

17

0

30

0,0013

0,0013

88

22

13

187

11,6203

11,6203

0,32747

19

BRAHIM Adam
(POITIERS)

9

14

0

3

1

13

0,0007

0,0007

4

8

0

17

0,003

0,003

24

10

9

70

1

1

0,27884

20

GIMENO RUBIO Alvaro
(SAINT-NAZAIRE)

27

60

6

18

3

76

0,002

0,002

5

12

1

24

0,0011

0,0011

54

14

19

134

9,403

9,403

0,27535

21

ROUZIER Antonin
(PLESSIS-ROBINSON)

4

6

1

4

0

14

0,0014

0,0014

0

3

0

7

0

0

15

3

4

33

1,4545

1,4545

0,2735

22

HALAGAHU Pierre Laurent
(MONTPELLIER)

15

43

0

2

0

2

0

0

0

3

0

6

0

0

5

1

0

7

24,5714

24,5714

0,2612

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:  1