Latvijas Čempionāts vīriešiem 2021

Latvijas Čempionāts vīriešiem 2021

Latvijas Čempionāts vīriešiem 2021 Best players WING SPIKER
PlayerPlayedBlockBlockServeServeAttackAttackReceptionReceptionRanking
  MS#=/TotBl ind.Bl ind.#=/TotSv ind.Sv ind.#=/TotSp ind.Sp ind.#=/TotRc ind.Rc ind.Index

1

Avdejevs Aleksandrs
(RTU/Robežsardze-Jūrmala)

7

27

15

25

0

51

0,0123

0,0123

7

26

0

99

0,0057

0,0057

85

15

22

189

6,8571

6,8571

33

11

5

183

0,5137

0,5137

0,30609

2

Medenis Jānis
(Jēkabpils Lūši)

7

19

10

12

0

32

0,0091

0,0091

4

8

1

61

0,0045

0,0045

60

9

7

124

6,7419

6,7419

8

2

0

35

0,5429

0,5429

0,27996

3

Āboliņš Armands
(Jēkabpils Lūši)

7

24

7

14

0

28

0,0063

0,0063

6

9

3

96

0,0082

0,0082

44

7

8

110

6,3273

6,3273

34

5

2

88

0,5227

0,5227

0,27945

4

Šmits Kristaps
(Jēkabpils Lūši)

7

24

6

28

0

44

0,0054

0,0054

7

12

1

78

0,0072

0,0072

87

17

16

193

6,715

6,715

34

12

3

132

0,3864

0,3864

0,27127

5

Jansons Renārs
(RTU/Robežsardze-Jūrmala)

7

21

10

16

0

36

0,0082

0,0082

2

6

2

69

0,0033

0,0033

95

11

13

221

6,7466

6,7466

0

0

0

0

0

0

0,26949

6

Cinne Vitālijs
(VK Biolars/Jelgava)

6

18

3

5

0

10

0,0033

0,0033

2

7

0

38

0,0022

0,0022

55

8

5

105

7,2

7,2

1

1

0

9

0,5556

0,5556

0,23963

7

Pinka Patriks
(RTU/Robežsardze-Jūrmala)

7

26

4

15

0

29

0,0033

0,0033

2

13

0

77

0,0016

0,0016

64

14

16

147

6,0136

6,0136

27

11

2

154

0,487

0,487

0,23477

8

Kudrjasovs Aleksandrs
(VK Biolars/Jelgava)

6

19

3

4

0

11

0,0033

0,0033

3

10

0

61

0,0033

0,0033

34

10

10

113

2,354

2,354

15

12

3

93

0,4194

0,4194

0,23067

9

Āboliņš Aivis
(RTU/Robežsardze-Jūrmala)

7

20

1

9

0

12

0,0008

0,0008

4

0

1

45

0,0041

0,0041

6

0

3

16

3,75

3,75

11

3

1

36

0,4722

0,4722

0,21381

10

Ivanovs Sergejs
(VK Daugavpils Universitāte/ Ezerzeme)

3

6

1

0

0

1

0,0019

0,0019

1

1

0

10

0,0019

0,0019

3

2

0

8

0,75

0,75

0

0

0

0

0

0

0,21101

11

Vjatkins Jevgēnijs
(VK Biolars/Jelgava)

6

16

1

4

0

7

0,0011

0,0011

1

14

0

26

0,0011

0,0011

22

10

8

62

1,0323

1,0323

0

1

0

3

0,3333

0,3333

0,20729

12

Pavlovs Deniss
(VK Daugavpils Universitāte/ Ezerzeme)

1

3

0

1

0

2

0

0

0

1

0

15

0

0

7

3

0

16

0,75

0,75

1

0

0

11

0,4545

0,4545

0,19835

13

Voroņko Ēriks
(Jēkabpils Lūši)

6

13

0

4

0

4

0

0

0

3

0

9

0

0

4

1

0

12

3,25

3,25

0

0

0

7

0,5714

0,5714

0,19569

14

Kļaviņš Roberts
(RTU/Robežsardze-Jūrmala)

1

2

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

2

0

0

0,19569

15

Ekhards Jēkabs
(VK Biolars/Jelgava)

2

3

0

1

0

1

0

0

0

1

0

4

0

0

2

1

2

8

-0,375

-0,375

0

1

0

6

0,1667

0,1667

0,19569

16

Lancmanis Māris
(VK Biolars/Jelgava)

2

3

0

0

0

0

0

0

0

1

0

1

0

0

0

0

0

0

0

0

0

1

0

1

-1

-1

0,19569

Ranking Calculation

Wing-spiker

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)

  • Reception Index (Rc ind.): positive receptions minus negative receptions divided the total receptions (ranking is available only if the player has made at least three receptions 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 Receptions per set:  3

  • Minimum number of Spikes per set:  3

Serve

  • # serve ace

  • / half point

  • #NOME?

Reception

  • # perfect

  • / half point

  • #NOME?

Attack

  • # point

  • / blocked

  • #NOME?

Block

  • # point

  • / Net touch

  • #NOME?

Filters applied

  • Minimum number of Matches played:  1