Optibet Latvijas Čempionāts Nacionālā līga 23/24 vīriešiem

Optibet Latvijas Čempionāts Nacionalā līga 23/24 vīriešiem

Optibet Latvijas Čempionāts Nacionālā līga 23/24 vīriešiem Best players OPPOSITE
PlayerPlayedServeServeBlockBlockAttackAttackRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.Index

1

Landzāns Kristers
(Jēkabpils juniori / JSS)

14

51

17

55

3

166

0,0085

0,0085

26

42

0

96

0,011

0,011

209

36

32

405

17,7556

17,7556

0,44393

2

Garklāvs Gatis
(VK Ventspils)

18

68

26

51

1

217

0,0088

0,0088

27

19

0

68

0,0088

0,0088

276

76

42

574

18,7178

18,7178

0,43732

3

Alkšbirze Dāvis
(Vecumnieki)

21

82

10

20

1

256

0,003

0,003

32

11

0

56

0,0088

0,0088

302

61

29

680

25,5647

25,5647

0,43702

4

Liepa Toms Emīls
(VK Piejūra / MSĢ)

15

59

14

30

8

188

0,0079

0,0079

14

11

0

29

0,005

0,005

228

51

28

479

18,3528

18,3528

0,40837

5

Žurevskis Edgars
(RSU LSPA)

14

57

13

50

3

189

0,0062

0,0062

19

18

0

53

0,0074

0,0074

202

68

23

426

14,8521

14,8521

0,39547

6

Vilcāns Sandis
(Augšdaugava)

13

41

7

28

2

94

0,004

0,004

16

13

0

47

0,0071

0,0071

124

36

17

242

12,0289

12,0289

0,36871

7

Strautnieks Ēriks
(VK Jelgava)

15

50

9

24

2

118

0,0044

0,0044

17

14

0

48

0,0068

0,0068

153

55

27

383

9,2689

9,2689

0,35602

8

Mucenieks Kristers
(Aizpute)

16

45

6

26

1

146

0,0026

0,0026

11

9

0

32

0,0041

0,0041

148

42

15

303

13,5149

13,5149

0,35115

9

Ekhards Jēkabs
(VK Piejūra / MSĢ)

17

55

9

12

4

167

0,0041

0,0041

15

17

0

41

0,0047

0,0047

111

35

29

309

8,3657

8,3657

0,33984

10

Šepte Kristaps
(VK Ventspils)

10

40

12

21

3

96

0,0081

0,0081

11

9

0

29

0,0059

0,0059

34

7

6

77

10,9091

10,9091

0,33013

11

Muižnieks Jānis
(Aizpute)

12

35

5

9

0

72

0,0023

0,0023

12

10

0

25

0,0056

0,0056

49

21

7

115

6,3913

6,3913

0,32598

12

Pekmans Reinis
(VK Ventspils)

5

17

2

1

0

36

0,0022

0,0022

4

0

0

6

0,0044

0,0044

25

5

1

45

7,1778

7,1778

0,29215

13

Medenis Jānis
(Jēkabpils juniori / JSS)

2

7

0

2

0

14

0

0

1

5

0

9

0,0028

0,0028

26

2

5

43

3,093

3,093

0,28677

14

Vīksne Dāvis
(VK Jelgava)

14

35

0

8

0

61

0

0

5

8

1

18

0,0021

0,0021

42

19

11

131

3,2061

3,2061

0,28366

15

Lindbergs Rihards
(Vecumnieki)

19

47

10

20

1

62

0,0033

0,0033

2

1

0

4

0,0006

0,0006

9

5

2

25

3,76

3,76

0,27921

16

Pļavnieks Miks
(Aizpute)

12

30

2

7

1

93

0,0015

0,0015

3

10

0

15

0,0015

0,0015

22

2

1

43

13,2558

13,2558

0,27547

17

Vorobjovs Nikita
(Augšdaugava)

7

9

0

0

0

5

0

0

0

0

0

0

0

0

1

2

0

4

-2,25

-2,25

0,2612

18

Rokjāns Kristers
(Augšdaugava)

4

7

0

0

0

3

0

0

0

1

0

2

0

0

2

2

0

4

0

0

0,2612

19

Morozovs Deniss
(RSU LSPA)

3

5

0

1

1

4

0,002

0,002

0

0

0

0

0

0

1

3

3

10

-2,5

-2,5

0,2612

20

Saulītis Leo
(Rīgas Tehniskā Universitāte)

1

3

0

0

0

5

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0,2612

21

Eikens Edijs
(Augšdaugava)

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

  • #NOME?

Attack

  • # point

  • / blocked

  • #NOME?

Block

  • # point

  • / Net touch

  • #NOME?

Filters applied

  • Minimum number of Matches played:  1