Meeste Esiliiga

Meest I-Liiga

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

1

Märdla Mikk
(Põltsamaa VK)

1

3

0

2

0

5

0

4

1

0

5

0.0296

4

1

0

6

1.5

0.48975

2

Palsi Andres
(Advokaadibüroo Premium/Rae vald)

1

4

0

1

1

13

0.0055

3

2

0

6

0.0164

9

2

0

14

2

0.43926

3

Bilous Oleksii
(Põltsamaa VK)

1

3

1

3

0

11

0.0071

2

0

3

7

0.0143

5

0

0

8

1.875

0.43493

4

Skuin Terek
(Danpower / Võru VK)

1

3

1

1

1

10

0.0149

1

1

0

2

0.0075

0

0

0

1

0

0.43

5

Ojamaa Karl Kerdo
(EstNor/Kiili)

1

3

2

0

0

19

0.0149

1

1

1

8

0.0075

2

3

1

10

-0.6

0.42899

6

Palmar Harri
(COOLBET Pärnu)

2

9

3

5

0

29

0.0077

5

3

1

11

0.0128

28

5

8

72

1.875

0.42876

7

Kivisild Kaupo
(Tallinna Ülikool)

3

7

2

2

2

21

0.0089

5

0

0

7

0.0111

9

1

0

17

3.2941

0.42704

8

Rüütel Riivo
(EMÜ/Structura)

11

40

20

36

7

179

0.0138

8

2

9

33

0.0041

44

8

6

92

13.0435

0.42625

9

Nassar Tamar
(COOLBET Pärnu)

3

12

2

2

0

44

0.0037

8

1

1

12

0.0146

17

2

2

33

4.7273

0.42462

10

Liiva Mario
(EMÜ/Structura)

2

6

1

3

0

24

0.0039

4

0

0

5

0.0157

3

3

1

16

-0.375

0.4236

11

Lankei Oliver
(Danpower / Võru VK)

1

4

0

3

0

11

0

3

0

2

6

0.0169

5

3

0

10

0.8

0.41327

12

Vahter Mart
(Tallinna Ülikool)

4

10

0

3

1

18

0.0016

8

1

0

10

0.013

10

0

0

11

9.0909

0.41233

13

Lankei Gustav
(Advokaadibüroo Premium/Rae vald)

1

4

1

3

0

14

0.0056

2

0

1

3

0.0113

3

0

0

5

2.4

0.41115

14

Stamm Karmo
(Selver Tallinn Spordikool)

3

13

3

14

3

42

0.0108

4

0

0

4

0.0072

9

3

2

32

1.625

0.41085

15

Madisson Margus
(COOLBET Pärnu)

1

4

0

3

0

10

0

3

1

0

4

0.0161

5

1

2

11

0.7273

0.40896

16

Kuri Reimo
(Tallinna Ülikool)

1

4

2

0

1

19

0.0181

0

2

0

4

0

4

0

0

7

2.2857

0.40578

17

Basov Kevin
(Advokaadibüroo Premium/Rae vald)

1

4

1

0

0

9

0.0055

2

1

0

3

0.0109

2

1

0

8

0.5

0.40499

18

Eisenschmidt Karl Eerik
(COOLBET Pärnu)

3

7

0

4

0

20

0

7

0

1

11

0.0128

3

0

0

7

3

0.3936

19

Pähn Ragnar
(EMÜ/Structura)

6

17

3

2

1

27

0.0036

7

0

0

10

0.0062

11

2

1

23

5.913

0.37815

20

Pütsepp Kevin
(Põltsamaa VK)

2

6

1

1

1

26

0.0073

1

0

0

1

0.0036

3

2

0

9

0.6667

0.37253

21

Türkson Ruudi
(Selver Tallinn Spordikool)

4

15

1

5

0

33

0.0013

4

1

0

5

0.0053

7

3

0

19

3.1579

0.35826

22

Hermandi Hendrik
(Selver Tallinn Spordikool)

2

7

0

2

1

17

0.0024

2

1

0

4

0.0048

0

0

0

4

0

0.35544

23

Eskla Hannes
(EMÜ/Structura)

9

15

3

3

2

37

0.0031

4

0

1

8

0.0024

11

2

1

24

5

0.35338

24

Kalin Mihail
(Selver Tallinn Spordikool)

4

9

0

7

0

13

0

3

0

0

4

0.0044

4

2

0

11

1.6364

0.34467

25

Veltson Markus
(Advokaadibüroo Premium/Rae vald)

1

1

0

0

1

2

0.0055

0

0

0

0

0

0

0

0

2

0

0.34327

26

Antsi Aleks
(Audentese SG/NK)

3

5

0

3

0

7

0

1

0

0

1

0.0019

1

0

0

2

2.5

0.32886

27

Lomp Siim
(EstNor/Kiili)

1

1

0

1

0

3

0

0

0

0

0

0

2

0

0

2

1

0.3206

28

Parker Riho
(Danpower / Võru VK)

1

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0.31911

29

Stog Nikita
(Põltsamaa VK)

1

1

0

0

0

1

0

0

0

0

0

0

0

0

0

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

  • = serve error

Attack

  • # point

  • / blocked

  • = error

Block

  • # point

  • / Net touch

  • = hand out

Filters applied

  • Minimum number of Matches played:  1