člani

Competition

člani Best players OPPOSITE
PlayerPlayedServeServeBlockBlockAttackAttackRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.Index

1

Pereira Maxson Guilherme
(Calcit Volleyball)

22

81

22

52

12

269

0,0096

0,0096

35

64

0

128

0,0099

0,0099

303

72

62

686

19,9548

19,9548

0,4546

2

Armenakis Apostolos
(ACH Volley)

23

72

19

48

14

221

0,0093

0,0093

29

36

5

93

0,0082

0,0082

263

67

45

538

20,2082

20,2082

0,44405

3

Bogožalec Aljosa
(Panvita Pomgrad)

21

78

22

77

3

261

0,0071

0,0071

40

18

0

70

0,0113

0,0113

296

68

81

674

17,0119

17,0119

0,43336

4

Horvat Tomaž
(Maribor)

19

73

21

67

16

222

0,011

0,011

33

25

2

66

0,0098

0,0098

258

57

82

680

12,775

12,775

0,42762

5

Radović Branislav
(Hoče)

20

76

17

58

6

231

0,0069

0,0069

36

16

0

59

0,0108

0,0108

261

72

48

648

16,537

16,537

0,42744

6

Bregant Janko
(Triglav Kranj)

20

68

16

37

10

237

0,0085

0,0085

30

20

0

83

0,0098

0,0098

219

52

52

526

14,8669

14,8669

0,42272

7

Turk Valentin
(Krka)

23

78

16

37

14

262

0,008

0,008

22

9

1

51

0,0059

0,0059

150

57

48

407

8,6241

8,6241

0,36822

8

Gadnik Saša
(Salonit Anhovo)

16

54

9

33

7

167

0,0057

0,0057

11

13

0

27

0,0039

0,0039

192

49

51

445

11,164

11,164

0,35684

9

Pokeršnik Danijel
(SIP Šempeter)

15

57

3

30

5

188

0,0031

0,0031

13

31

1

59

0,0051

0,0051

299

81

66

736

11,7717

11,7717

0,35174

10

Ratek Timotej
(Calcit Volleyball)

7

19

3

13

2

61

0,0041

0,0041

11

12

0

30

0,009

0,009

48

10

5

123

5,0976

5,0976

0,34771

11

Dojčilović Radoslav
(FužinarSijMetalRavne)

7

28

4

24

1

89

0,0036

0,0036

9

8

0

20

0,0065

0,0065

129

30

34

296

6,1486

6,1486

0,33694

12

Tomaž Matej
(FužinarSijMetalRavne)

14

39

5

29

5

81

0,0043

0,0043

7

9

0

18

0,003

0,003

85

28

23

212

6,2547

6,2547

0,32238

13

Kumer David
(ACH Volley)

8

18

4

16

1

49

0,0042

0,0042

6

3

2

17

0,005

0,005

47

19

7

103

3,6699

3,6699

0,32125

14

Brulec Luka
(Krka)

13

27

4

5

2

47

0,0029

0,0029

1

5

0

7

0,0005

0,0005

39

13

16

119

2,2689

2,2689

0,28589

15

Pirih Grega
(Salonit Anhovo)

12

35

0

15

2

72

0,0009

0,0009

5

16

0

22

0,0023

0,0023

46

26

13

119

2,0588

2,0588

0,28469

16

Virtič Staš
(Maribor)

7

13

1

6

0

17

0,001

0,001

1

4

0

10

0,001

0,001

12

1

2

26

4,5

4,5

0,27071

17

Špindler Rok
(Hoče)

10

15

1

10

1

27

0,0013

0,0013

0

1

0

1

0

0

25

15

8

62

0,4839

0,4839

0,26922

18

Donik Žiga
(Maribor)

1

2

0

1

0

3

0

0

0

0

0

0

0

0

6

1

1

10

0,8

0,8

0,26428

19

Šavc Peter
(FužinarSijMetalRavne)

6

14

0

5

0

21

0

0

0

0

0

0

0

0

3

1

2

6

0

0

0,2612

20

Pelemiš Dejan
(Maribor)

1

2

0

1

0

2

0

0

0

0

0

0

0

0

1

1

1

4

-0,5

-0,5

0,2612

21

Mlakar Uroš
(Maribor)

1

1

0

0

0

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0,2612

Ranking Calculation

Opposite

the ranking takes into account:

  • 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

Attack

  • # point

  • / blocked

  • = error

Block

  • # point

  • / Net touch

  • = hand out

Filters applied

  • Minimum number of Matches played:  1