Latvijas Kauss vīriešiem 2018

Latvijas Kauss vīriešiem 2018

Latvijas Kauss vīriešiem 2018 Best players MIDDLE BLOCKER
PlayerPlayedBlockBlockServeServeAttackAttackRanking
  MS#=/TotBl ind.Bl ind.#=/TotSv ind.Sv ind.#=/TotSp ind.Sp ind.Index

1

Blumbergs Vladislavs
(Jēkabpils Lūši)

2

10

10

0

0

15

0,0251

0,0251

8

12

0

32

0,0201

0,0201

10

2

1

21

3,3333

3,3333

0,56596

2

Zavorotnijs Andrejs
(RTU/Robežsardze)

2

7

8

0

0

11

0,0242

0,0242

3

4

0

26

0,0091

0,0091

8

2

0

13

3,2308

3,2308

0,50595

3

Vilmanis Raimonds
(Daugavpils Universitāte)

3

11

13

1

0

29

0,022

0,022

1

3

0

36

0,0017

0,0017

14

6

1

34

2,2647

2,2647

0,45388

4

Šimanskis Edgars
(OC Limbaži/MSĢ)

4

17

10

0

0

20

0,0136

0,0136

3

11

4

47

0,0095

0,0095

20

1

2

35

8,2571

8,2571

0,45374

5

Jāvalds Askolds
(VK Ventspils)

2

6

4

3

0

8

0,0155

0,0155

2

2

0

12

0,0078

0,0078

6

3

0

13

1,3846

1,3846

0,44426

6

Nazarovs Antons
(RTU/Robežsardze)

2

7

5

3

0

15

0,0159

0,0159

1

2

1

29

0,0064

0,0064

11

0

1

19

3,6842

3,6842

0,44378

7

Adamovičs Zigurds
(Jēkabpils Lūši)

2

10

3

2

0

15

0,0075

0,0075

3

12

1

33

0,0101

0,0101

13

2

1

26

3,8462

3,8462

0,41309

8

Zelčs Arvis
(VK Biolars/Jelgava)

1

4

2

0

0

5

0,0109

0,0109

1

4

0

14

0,0054

0,0054

6

1

1

12

1,3333

1,3333

0,40588

9

Cimoška Andis
(RTU/Robežsardze)

2

6

3

0

0

3

0,0116

0,0116

1

2

0

11

0,0039

0,0039

4

1

0

9

2

2

0,40383

10

Grudulis Armands
(Vecumnieki)

2

8

3

0

0

3

0,0088

0,0088

0

2

0

20

0

0

10

1

0

13

5,5385

5,5385

0,37527

11

Gertners Valters
(VK Ventspils)

2

6

2

1

0

5

0,0078

0,0078

0

2

0

10

0

0

1

1

0

5

0

0

0,36055

12

Žolnerovičs Devids
(Daugavpils Universitāte)

3

11

1

0

0

5

0,0017

0,0017

2

2

0

31

0,0034

0,0034

10

1

1

19

4,6316

4,6316

0,35011

13

Podkalns Mikus
(OC Limbaži/MSĢ)

4

13

4

1

0

5

0,0055

0,0055

0

3

0

29

0

0

5

2

0

10

3,9

3,9

0,34803

14

Sniedzāns Aigars
(VK Biolars/Jelgava)

1

2

0

0

0

0

0

0

1

0

0

4

0,0048

0,0048

2

0

0

3

1,3333

1,3333

0,34216

15

Dzenis Jēkabs
(OC Limbaži/MSĢ)

3

12

1

0

0

4

0,0019

0,0019

0

6

0

25

0

0

18

3

1

30

5,6

5,6

0,33748

16

Maksimovs Mareks
(OC Limbaži/MSĢ)

2

3

1

0

0

1

0,0025

0,0025

0

2

0

4

0

0

1

0

1

3

0

0

0,33227

17

Šepte Toms
(VK Ventspils)

2

4

0

0

0

0

0

0

0

0

0

3

0

0

2

2

0

4

0

0

0,31911

18

Prīdāns Reinis
(Jēkabpils Lūši)

2

3

0

0

0

0

0

0

0

0

0

1

0

0

0

0

0

2

0

0

0,31911

19

Janelis Visvaldis
(Vecumnieki)

2

6

0

0

0

0

0

0

0

2

0

14

0

0

1

1

0

3

0

0

0,31911

20

Slavēns Gatis
(VK Biolars/Jelgava)

1

2

0

0

0

0

0

0

0

1

0

4

0

0

1

1

0

4

0

0

0,31911

Ranking Calculation

Middle-Blocker

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:  1

Serve

  • # serve ace

  • / half point

  • #NOME?

Attack

  • # point

  • / blocked

  • #NOME?

Block

  • # point

  • / Net touch

  • #NOME?

Filters applied

  • Minimum number of Matches played:  1