Meeste Esiliiga

Meest I-Liiga

Meeste Esiliiga Best players MIDDLE BLOCKER
PlayerPlayedServeBlockAttackRanking
  MS#=/TotSv ind.#=/TotBl ind.#=/TotSp ind.Index

1

Vahter Mart
(Tallinna Ülikool)

2

9

5

3

0

36

0.0128

8

0

0

10

0.0205

13

2

1

22

4.0909

0.5038

2

Parker Riho
(Danpower / Võru VK)

1

2

1

0

0

6

0.0075

2

3

0

8

0.015

2

1

0

5

0.4

0.43871

3

Kalin Mihail
(Selver Tallinn Spordikool)

3

13

0

11

1

17

0.0019

10

6

0

25

0.0187

12

3

2

29

3.1379

0.43677

4

Lehtniit Janar
(IMsport/Türi)

2

7

1

5

1

21

0.0063

5

0

0

9

0.0157

6

4

2

21

0

0.43603

5

Veltson Markus
(Advokaadibüroo Premium/Rae vald)

4

18

4

3

2

59

0.0076

10

1

0

11

0.0127

20

2

4

45

5.6

0.43385

6

Ojamaa Karl Kerdo
(EstNor/Kiili)

4

18

3

6

0

51

0.0039

11

10

0

30

0.0145

30

4

4

54

7.3333

0.4295

7

Ploom Alar
(BMF/Rakvere VK)

4

14

3

9

0

45

0.0045

8

0

0

8

0.0119

10

1

0

19

6.6316

0.41604

8

Pähn Ragnar
(Eesti Maaülikool/Structura)

1

2

0

0

0

10

0

3

0

0

3

0.0166

2

0

1

4

0.5

0.41116

9

Kõivoste Cenor
(Danpower / Võru VK)

3

8

2

11

1

19

0.0062

5

3

0

13

0.0103

9

4

0

24

1.6667

0.407

10

Armulik Deivid
(BMF/Rakvere VK)

4

15

2

9

0

46

0.003

8

0

0

8

0.0119

18

2

4

36

5

0.40614

11

Rüütel Riivo
(Eesti Maaülikool/Structura)

2

6

1

7

1

33

0.0064

3

0

2

10

0.0096

8

2

2

17

1.4118

0.40322

12

Antsi Aleks
(Audentese SG/NK)

3

13

2

6

2

33

0.0073

4

11

0

19

0.0073

20

3

2

37

5.2703

0.40094

13

Lellsaar Märt
(IMsport/Türi)

2

7

0

4

0

22

0

4

0

0

5

0.0122

3

2

0

15

0.4667

0.38629

14

Palsi Andres
(Advokaadibüroo Premium/Rae vald)

2

10

0

6

0

25

0

4

0

0

4

0.0097

8

1

0

14

5

0.37923

15

Kivisild Kaupo
(Tallinna Ülikool)

2

7

0

2

1

21

0.0026

3

0

0

3

0.0077

10

0

1

17

3.7059

0.37802

16

Päid Siim
(Eesti Maaülikool/Structura)

2

5

0

1

0

15

0

3

0

0

3

0.0096

8

3

0

16

1.5625

0.37317

17

Türkson Ruudi
(Selver Tallinn Spordikool)

1

5

0

1

1

15

0.005

1

1

0

2

0.005

4

3

0

10

0.5

0.36927

18

Täht Tarvo
(Danpower / Võru VK)

1

3

0

1

0

7

0

1

0

0

1

0.0072

9

1

1

12

1.75

0.36052

19

Haponen Rasmus
(IMsport/Türi)

1

3

0

0

0

9

0

1

0

0

1

0.0071

2

3

0

5

-0.6

0.35599

20

Lankei Gustav
(BMF/Rakvere VK)

1

1

1

0

0

3

0.0081

0

0

0

0

0

0

0

0

0

0

0.35537

21

Prei Taavi
(Tallinna Ülikool)

1

3

0

1

0

8

0

1

0

0

1

0.0054

2

0

1

5

0.6

0.34852

22

Mitt Karl
(EstNor/Kiili)

2

3

0

0

2

8

0.0049

0

2

0

3

0

4

0

0

8

1.5

0.34321

23

Lomp Siim
(EstNor/Kiili)

1

1

1

0

0

3

0.0055

0

0

0

0

0

0

1

0

1

-1

0.34201

24

Merimaa Mihkel
(BMF/Rakvere VK)

2

2

0

0

0

4

0

0

0

0

0

0

2

0

0

3

1.3333

0.32109

25

Marrandi Jan-Marten
(IMsport/Türi)

2

2

0

0

0

0

0

0

0

0

0

0

0

0

0

1

0

0.31911

26

Eskla Hannes
(EstNor/Kiili)

1

1

0

0

0

1

0

0

0

0

0

0

0

0

0

0

0

0.31911

27

Vaher Kristjan
(Danpower / Võru VK)

1

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0.31911

28

Priimägi Rasmus
(Selver Tallinn Spordikool)

1

1

0

1

0

1

0

0

0

0

0

0

0

1

0

1

-1

0.31764

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

  • = serve error

Attack

  • # point

  • / blocked

  • = error

Block

  • # point

  • / Net touch

  • = hand out

Filters applied

  • Minimum number of Matches played:  1