Cewood Latvijas Kauss 2024

Cewood Latvijas Kauss 2024

Cewood Latvijas Kauss 2024 Best players OPPOSITE
PlayerPlayedServeServeBlockBlockAttackAttackRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.Index

1

Makarov Ilja
(Ezerzeme/Daugavpils Universitāte)

3

11

2

5

6

36

0,0166

0,0166

11

16

0

48

0,0229

0,0229

15

3

4

30

2,9333

2,9333

0,47356

2

Garklāvs Gatis
(VK Ventspils)

4

12

2

11

2

44

0,0075

0,0075

10

9

0

25

0,0187

0,0187

36

13

7

103

1,8641

1,8641

0,40528

3

Gabduļins Matīss
(Robežsardze / Riga)

5

16

1

4

7

49

0,0105

0,0105

8

14

0

41

0,0105

0,0105

46

6

13

127

3,4016

3,4016

0,3838

4

Kalniņš Toms
(Robežsardze / Riga)

5

14

8

14

6

52

0,0184

0,0184

2

9

0

25

0,0026

0,0026

18

2

1

26

8,0769

8,0769

0,36828

5

Šepte Kristaps
(VK Ventspils)

4

12

4

4

0

39

0,0075

0,0075

7

11

0

21

0,0131

0,0131

9

5

1

28

1,2857

1,2857

0,36518

6

Jemeļjanovs Pāvels
(Jēkabpils Lūši)

4

12

9

11

0

40

0,015

0,015

1

7

0

14

0,0017

0,0017

27

4

6

51

4

4

0,3626

7

Landzāns Kristers
(Jēkabpils Lūši)

3

10

2

9

2

28

0,0091

0,0091

3

4

0

10

0,0068

0,0068

23

3

1

44

4,3182

4,3182

0,35974

8

Jurjāns Jēkabs Kristens
(VK Jelgava / JN)

2

6

3

2

0

10

0,0129

0,0129

1

0

0

2

0,0043

0,0043

6

5

0

23

0,2609

0,2609

0,34844

9

Birks Aleksandrs
(RSU)

2

4

2

1

0

9

0,0074

0,0074

2

1

0

3

0,0074

0,0074

0

1

0

4

-1

-1

0,33448

10

Cīrulis Fēlikss
(Aizpute)

1

4

1

0

0

13

0,0054

0,0054

1

0

0

1

0,0054

0,0054

8

4

0

26

0,6154

0,6154

0,3164

11

Asars Indars
(VK Piejūra / MSĢ)

4

6

2

4

0

16

0,0033

0,0033

4

4

0

11

0,0065

0,0065

10

5

4

36

0,1667

0,1667

0,309

12

Prauls Nils Daniels
(VK Piejūra / MSĢ)

4

11

3

7

0

27

0,0049

0,0049

2

8

0

12

0,0033

0,0033

25

17

5

69

0,4783

0,4783

0,30221

13

Vilcāns Sandis
(Ezerzeme/Daugavpils Universitāte)

2

8

0

4

1

19

0,0028

0,0028

1

15

0

19

0,0028

0,0028

26

3

6

51

2,6667

2,6667

0,29878

14

Bērziņš Kārlis
(VK MĪ / Līgatne)

1

3

1

0

0

9

0,0079

0,0079

0

7

0

11

0

0

2

1

2

13

-0,2308

-0,2308

0,2979

15

Uzuls-Petrovskis Arnis
(VK MĪ / Līgatne)

2

5

2

6

0

17

0,0064

0,0064

0

3

0

3

0

0

17

5

2

34

1,4706

1,4706

0,2978

16

Zīle Ģirts
(RSU)

1

3

0

1

0

5

0

0

1

1

1

3

0,0074

0,0074

1

4

1

20

-0,6

-0,6

0,29351

17

Alkšbirze Dāvis
(Vecumnieki)

2

5

0

3

0

15

0

0

1

2

0

3

0,0032

0,0032

10

8

2

38

0

0

0,27604

18

Krakops Edijs
(Jēkabpils Lūši)

3

4

0

0

0

1

0

0

1

0

0

1

0,0026

0,0026

3

0

0

5

2,4

2,4

0,273

19

Žurevskis Edgars
(RSU)

2

6

0

3

0

14

0

0

0

3

1

6

0

0

15

5

9

47

0,1277

0,1277

0,26169

20

Strautnieks Ēriks
(VK Jelgava / JN)

2

5

0

0

0

10

0

0

0

0

0

0

0

0

5

3

2

17

0

0

0,2612

21

Stivriņš Rihards
(Jēkabpils Lūši)

2

3

0

2

0

3

0

0

0

1

0

1

0

0

1

0

1

3

0

0

0,2612

22

Broks Erdžans Deniss
(VK Jelgava / JN)

1

2

0

1

0

2

0

0

0

0

0

0

0

0

0

0

1

2

-1

-1

0,2612

23

Mucenieks Kristers
(Aizpute)

1

1

0

0

0

1

0

0

0

0

0

0

0

0

1

1

0

5

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