Optibet Latvijas Čempionāts Nacionālā līga 24/25 vīriešiem

Optibet Latvijas Čempionāts Nacionalā līga 24/25 vīriešiem

Optibet Latvijas Čempionāts Nacionālā līga 24/25 vīriešiem Best players MIDDLE BLOCKER
PlayerPlayedBlockBlockServeServeAttackAttackRanking
  MS#=/TotBl ind.Bl ind.#=/TotSv ind.Sv ind.#=/TotSp ind.Sp ind.Index

1

Gleizups Gustavs Jānis
(VK Jelgava)

1

3

5

0

0

5

0,041

0,041

0

2

1

11

0,0082

0,0082

8

1

0

11

1,9091

1,9091

0,59777

2

Rogal Tomas
(Elga-Grafaite-S-Sportas)

1

3

2

0

0

2

0,0155

0,0155

2

2

0

11

0,0155

0,0155

1

1

0

3

0

0

0,48037

3

Dūdens Edvards
(VK Piejūra / MSĢ)

1

4

3

3

0

10

0,0166

0,0166

1

3

1

11

0,011

0,011

6

1

1

13

1,2308

1,2308

0,46666

4

Stebulis Klāvs
(Aizpute)

1

4

4

0

0

4

0,0207

0,0207

0

1

0

15

0

0

5

2

0

7

1,7143

1,7143

0,43735

5

Nātriņš Dāvis
(Rīgas Tehniskā universitāte)

2

6

3

3

0

11

0,0097

0,0097

2

0

1

26

0,0097

0,0097

5

0

0

14

2,1429

2,1429

0,4212

6

Smilga Toms
(RSU)

1

3

2

1

0

8

0,0156

0,0156

0

1

0

8

0

0

3

0

0

9

1

1

0,40651

7

Stūrītis Artūrs
(VK Piejūra / MSĢ)

1

3

2

1

0

5

0,011

0,011

1

3

0

8

0,0055

0,0055

2

1

0

6

0,5

0,5

0,40598

8

Zemturis Renārs
(Aizpute)

1

4

3

0

0

3

0,0155

0,0155

0

3

0

13

0

0

2

0

0

2

4

4

0,4044

9

Pelēkais Kristaps
(VK Piejūra / MSĢ)

1

1

1

1

0

4

0,0055

0,0055

1

0

0

5

0,0055

0,0055

1

0

0

4

0,25

0,25

0,37424

10

Vilmanis Raimonds
(Rīgas Tehniskā universitāte)

2

7

2

4

0

11

0,0065

0,0065

0

3

0

19

0

0

11

1

2

22

2,5455

2,5455

0,35752

11

Rotbergs Edgars
(Svēte)

1

2

0

0

0

0

0

0

1

0

0

3

0,0082

0,0082

0

0

0

1

0

0

0,35567

12

Semjonovs Rūdolfs
(RSU)

1

3

0

2

0

7

0

0

1

4

0

8

0,0078

0,0078

4

1

0

10

0,9

0,9

0,35532

13

Jāvalds Askolds
(VK Ventspils)

1

4

1

0

0

1

0,0052

0,0052

0

2

0

12

0

0

8

1

0

9

3,1111

3,1111

0,35136

14

Kronbergs Jānis
(Svēte)

1

3

0

0

0

1

0

0

0

3

0

5

0

0

4

0

1

7

1,2857

1,2857

0,32102

15

Kļaviņš Verners
(Vecumnieki)

1

3

0

0

0

0

0

0

0

2

0

11

0

0

4

2

0

8

0,75

0,75

0,32022

16

Grudulis Armands
(Vecumnieki)

1

1

0

0

0

0

0

0

0

0

0

3

0

0

2

0

0

3

0,6667

0,6667

0,3201

17

Stabulnieks Ričards Konrāds
(Vecumnieki)

1

2

0

0

0

1

0

0

0

0

0

10

0

0

2

1

0

4

0,5

0,5

0,31985

18

Dēdelis Kristers
(VK Jelgava)

1

3

0

0

1

1

0

0

0

0

0

8

0

0

3

2

0

7

0,4286

0,4286

0,31975

19

Grigalaitis Simas
(Elga-Grafaite-S-Sportas)

1

3

0

0

0

0

0

0

0

1

0

12

0

0

3

2

0

9

0,3333

0,3333

0,31961

20

Šplīts Rūdolfs
(VK Jelgava)

1

2

0

0

0

0

0

0

0

0

0

0

0

0

0

1

0

1

-2

-2

0,31911

21

Širokovs Maikls
(Svēte)

1

1

0

0

0

0

0

0

0

0

0

0

0

0

0

1

1

2

-1

-1

0,31764

22

Timko Ivo
(Svēte)

1

2

0

0

0

0

0

0

0

2

0

5

0

0

0

1

1

2

-2

-2

0,31616

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