Meeste Esiliiga

Meest I-Liiga

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

1

Kuri Reimo
(Tallinna Ülikool)

1

3

0

1

0

11

0

6

0

0

6

0.0438

1

1

0

7

0

0.57116

2

Rüütel Riivo
(Eesti Maaülikool/Embach)

4

17

7

12

4

60

0.0152

11

2

1

21

0.0152

21

3

3

38

6.7105

0.48793

3

Zirk Karel
(Advokaadibüroo Premium/Rae vald)

1

2

1

2

1

9

0.0156

2

0

0

2

0.0156

2

1

0

3

0.6667

0.48283

4

Tigane Priit
(Structura/Tartu vald)

3

11

8

7

2

46

0.0187

3

0

1

4

0.0056

13

2

3

26

3.3846

0.44352

5

Armulik Deivid
(Tallinna Ülikool)

3

9

4

3

0

36

0.0097

5

0

0

6

0.0121

17

2

2

31

3.7742

0.4381

6

Piir Rasmus
(Structura/Tartu vald)

4

11

1

3

3

31

0.006

10

0

1

12

0.0149

9

3

0

23

2.8696

0.43441

7

Lankei Oliver
(Eesti Maaülikool/Embach)

3

12

4

11

1

38

0.0082

8

4

0

21

0.0131

7

2

1

23

2.087

0.43321

8

Kivisild Kaupo
(Tallinna Ülikool)

3

9

1

4

0

25

0.0025

6

0

0

6

0.0149

13

2

0

18

5.5

0.42171

9

Marrandi Jan-Marten
(IMsport/Türi SK)

4

14

1

3

0

40

0.0017

8

2

1

12

0.0136

15

4

3

50

2.24

0.40527

10

Mitt Karl
(EstNor/Kiili)

5

13

1

7

2

29

0.0036

9

4

2

15

0.0109

22

2

2

41

5.7073

0.40444

11

Vanamõisa Jörgen
(EstNor/Kiili)

3

10

0

9

2

31

0.0041

5

1

1

8

0.0104

39

7

4

74

3.7838

0.40071

12

Veltson Markus
(Advokaadibüroo Premium/Rae vald)

2

5

1

3

1

20

0.0078

2

1

0

3

0.0078

11

3

1

23

1.5217

0.39943

13

Post Sven Jürgen
(E-Lux Tallinn)

3

10

4

11

1

41

0.011

2

7

0

10

0.0044

13

1

1

35

3.1429

0.39856

14

Ojamaa Karl Kerdo
(EstNor/Kiili)

5

19

2

3

0

51

0.0024

8

5

1

16

0.0097

36

2

5

57

9.6667

0.39819

15

Palsi Andres
(Advokaadibüroo Premium/Rae vald)

4

15

2

9

3

40

0.0074

4

7

2

16

0.006

18

1

0

33

7.7273

0.39779

16

Kallas Magnus
(Advokaadibüroo Premium/Rae vald)

3

8

1

5

2

19

0.0065

4

4

1

16

0.0086

1

2

2

11

-2.1818

0.39238

17

Päid Siim
(Eesti Maaülikool/Embach)

3

11

0

3

1

30

0.0019

5

0

1

8

0.0096

7

1

2

20

2.2

0.38328

18

Priimägi Rasmus
(E-Lux Tallinn)

3

10

4

6

0

25

0.0088

1

2

0

7

0.0022

13

3

1

24

3.75

0.37664

19

Vare Herkko
(Pärnu SK/VK)

3

9

5

6

0

32

0.0091

1

1

0

2

0.0018

3

1

0

6

3

0.37011

20

Jakobson Timo
(Tallinna Ülikool)

1

3

0

0

0

6

0

1

1

0

2

0.0068

4

0

0

4

3

0.3603

21

Lepp Joosep
(Pärnu SK/VK)

4

11

3

5

0

28

0.0044

2

0

0

2

0.0029

4

0

1

12

2.75

0.35878

22

Klemm Artus Leo Marco
(Structura/Tartu vald)

2

5

0

3

0

6

0

2

0

0

2

0.006

5

0

0

9

2.7778

0.35523

23

Lellsaar Märt
(IMsport/Türi SK)

2

7

0

6

0

22

0

2

0

0

2

0.0062

5

2

0

16

1.3125

0.35416

24

Haponen Rasmus
(IMsport/Türi SK)

5

12

4

6

2

41

0.0078

0

6

1

13

0

6

0

2

10

4.8

0.35406

25

Eskla Hannes
(EstNor/Kiili)

4

14

2

6

0

34

0.0029

1

1

0

2

0.0015

12

0

0

22

7.6364

0.35157

26

Uukareda Sebastian
(IMsport/Türi SK)

2

2

0

0

0

0

0

0

0

0

0

0

0

1

0

1

-2

0.31911

27

Kõivoste Cenor
(Eesti Maaülikool/Embach)

1

1

0

0

0

0

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