Cewood Latvijas Kauss 2025

Cewood Latvijas Kauss 2025

Cewood Latvijas Kauss 2025 Best players OPPOSITE
PlayerPlayedServeServeBlockBlockAttackAttackRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.Index

1

Vilcāns Sandis
(Ezerzeme/Daugavpils Universitāte)

5

21

5

15

1

62

0,0063

0,0063

13

9

1

38

0,0137

0,0137

92

10

13

165

8,7818

8,7818

0,40329

2

Gabduļins Matīss
(Jēkabpils Lūši)

3

11

2

10

4

43

0,0127

0,0127

5

6

0

21

0,0105

0,0105

49

8

6

112

3,4375

3,4375

0,39598

3

Cīrulis Fēlikss
(Aizpute)

2

6

3

5

0

16

0,0118

0,0118

3

6

0

10

0,0118

0,0118

19

4

3

35

2,0571

2,0571

0,39173

4

Alkšbirze Dāvis
(VK Ventspils)

4

15

4

11

1

50

0,0076

0,0076

8

6

0

24

0,0122

0,0122

50

12

16

140

2,3571

2,3571

0,37147

5

Kalniņš Toms
(Robežsardze / RSU)

4

14

6

12

0

59

0,0095

0,0095

5

6

1

16

0,0079

0,0079

47

10

13

111

3,027

3,027

0,36192

6

Mičulis Kārlis
(Vecumnieki)

1

4

1

3

0

11

0,0055

0,0055

2

0

0

2

0,011

0,011

14

3

2

27

1,3333

1,3333

0,34892

7

Garklāvs Gatis
(VK Ventspils)

1

3

0

2

0

9

0

0

2

1

0

4

0,0163

0,0163

7

2

2

28

0,3214

0,3214

0,34295

8

Strautnieks Ēriks
(VK Jelgava / JN)

1

2

1

0

0

7

0,0075

0,0075

1

2

0

4

0,0075

0,0075

5

4

0

13

0,1538

0,1538

0,33605

9

Asars Indars
(VK Piejūra / MSĢ)

4

12

5

10

0

36

0,0085

0,0085

4

6

0

13

0,0068

0,0068

19

16

8

78

-0,7692

-0,7692

0,33314

10

Ķirsons Valters
(VK Jelgava / JN)

2

8

2

8

0

20

0,0059

0,0059

2

3

0

8

0,0059

0,0059

24

3

4

55

2,4727

2,4727

0,32946

11

Lindbergs Rihards
(Vecumnieki)

1

4

1

2

0

14

0,0055

0,0055

1

0

0

1

0,0055

0,0055

16

4

0

35

1,3714

1,3714

0,32058

12

Šepte Kristaps
(VK Ventspils)

2

8

1

6

0

24

0,0029

0,0029

2

0

0

7

0,0058

0,0058

9

2

3

18

1,7778

1,7778

0,30261

13

Leitāns Aleksandrs
(Liepājas sporta spēļu skola LK)

1

3

1

1

0

6

0,0085

0,0085

0

0

0

0

0

0

1

3

0

4

-1,5

-1,5

0,30185

14

Jurjāns Jēkabs Kristens
(VK Jelgava / JN)

2

7

2

5

0

20

0,0059

0,0059

0

6

0

11

0

0

18

11

6

47

0,1489

0,1489

0,28982

15

Birks Aleksandrs
(RSU)

2

9

1

2

0

27

0,0025

0,0025

1

3

0

4

0,0025

0,0025

11

1

0

19

4,7368

4,7368

0,28448

16

Prauls Nils Daniels
(Robežsardze / RSU)

4

10

1

3

1

9

0,0032

0,0032

1

3

0

7

0,0016

0,0016

17

3

2

37

3,2432

3,2432

0,28138

17

Mironovs Danila
(Ezerzeme/Daugavpils Universitāte)

5

11

2

3

2

17

0,0042

0,0042

0

1

0

1

0

0

5

2

0

8

4,125

4,125

0,28099

18

Ivanovskis Artūrs
(VK Ventspils)

2

4

0

0

0

2

0

0

0

0

0

0

0

0

0

0

0

1

0

0

0,2612

19

Mucenieks Kristers
(Aizpute)

1

3

0

0

0

17

0

0

0

0

0

0

0

0

5

1

0

8

1,5

1,5

0,2612

20

Paškevics Ralfs
(VK Jelgava / JN)

1

1

0

0

0

0

0

0

0

0

1

1

0

0

0

2

0

2

-1

-1

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