Aadu Luukase karikas 2023

Aadu Luukase karikas 2023

Aadu Luukase karikas 2023 Best players MIDDLE BLOCKER
PlayerPlayedBlockServeAttackRanking
  MS#=/TotBl ind.#=/TotSv ind.#=/TotSp ind.Index

1

Vanamõisa Jörgen
(PÄRNU VK)

4

16

18

13

0

47

0.0258

5

7

1

46

0.0086

10

4

1

32

2.5

0.51117

2

Hepburn Shonari
(Barrus Võru VK)

4

15

13

7

0

26

0.02

2

9

6

47

0.0123

21

0

3

38

7.1053

0.50304

3

Rüütel Riivo
(EMÜ/Structura)

3

11

5

3

1

17

0.0102

5

8

5

45

0.0205

17

3

3

34

3.5588

0.47998

4

Hääl Helger
(Selver/TalTech)

2

5

7

4

0

15

0.0234

1

1

0

10

0.0033

5

2

0

10

1.5

0.4694

5

Rahuoja Mattias
(Barrus Võru VK)

2

5

4

0

0

4

0.0132

2

4

1

19

0.0099

3

0

0

4

3.75

0.43897

6

Aru Marx
(Selver/TalTech)

3

14

9

15

0

33

0.0147

2

13

1

42

0.0049

29

4

6

53

5.0189

0.43184

7

Aganits Andri
(Selver/TalTech)

4

16

9

9

1

31

0.0124

2

4

2

62

0.0055

25

1

4

45

7.1111

0.42505

8

Bilous Oleksii
(Põltsamaa VK)

3

9

4

0

1

5

0.0108

1

7

2

24

0.0081

7

1

2

17

2.1176

0.4195

9

Teesaar Ron Rudolf
(BIGBANK Tartu)

2

7

3

1

0

11

0.0083

2

1

1

30

0.0083

8

0

1

13

3.7692

0.40853

10

Matheney Daniel Anthony
(BIGBANK Tartu)

4

11

6

12

0

30

0.008

4

11

1

38

0.0066

18

1

0

29

6.4483

0.4033

11

Päid Siim
(BIGBANK Tartu)

5

13

8

8

0

24

0.0086

3

8

2

38

0.0054

22

2

1

35

7.0571

0.40213

12

Lankei Oliver
(Barrus Võru VK)

4

12

2

0

0

2

0.0031

7

3

1

31

0.0123

2

1

0

4

3

0.39193

13

Naaber Mart
(BIGBANK Tartu)

4

12

7

9

0

31

0.0095

0

5

1

38

0.0014

10

0

5

25

2.4

0.38023

14

Eskla Hannes
(EMÜ/Structura)

1

2

1

0

0

1

0.0057

1

2

0

9

0.0057

5

0

0

7

1.4286

0.37841

15

Kivisild Kaupo
(Tallinna Ülikool)

1

5

1

0

0

1

0.0049

0

1

1

12

0.0049

9

2

0

13

2.6923

0.37126

16

Täht Tarvo
(Barrus Võru VK)

2

7

1

1

1

9

0.003

1

4

1

13

0.006

8

2

0

12

3.5

0.36748

17

Märdla Mikk
(Põltsamaa VK)

1

2

1

0

0

1

0.0077

0

2

0

3

0

1

0

0

3

0.6667

0.36127

18

Veltson Markus
(Advokaadibüroo Premium/Rae vald)

1

2

0

5

0

7

0

1

1

0

5

0.0089

1

0

0

3

0.6667

0.36008

19

Pütsepp Kevin
(Põltsamaa VK)

2

5

1

0

0

1

0.0041

0

0

1

8

0.0041

2

0

0

3

3.3333

0.35899

20

Vahter Mart
(Tallinna Ülikool)

2

4

2

1

0

11

0.0059

0

2

0

6

0

3

0

1

5

1.6

0.35282

21

Kuri Reimo
(Tallinna Ülikool)

2

8

1

2

0

7

0.0029

1

3

0

31

0.0029

6

1

2

12

2

0.35084

22

Peterson Kristo Joosep
(PÄRNU VK)

3

7

1

4

0

8

0.0018

1

2

0

17

0.0018

9

0

1

11

5.0909

0.34398

23

Palsi Andres
(Advokaadibüroo Premium/Rae vald)

1

2

0

0

0

1

0

0

2

0

5

0

2

0

1

3

0.6667

0.3201

24

Basov Kevin
(Advokaadibüroo Premium/Rae vald)

1

1

0

2

0

2

0

0

0

0

1

0

2

1

0

4

0.25

0.31948

25

Pähn Ragnar
(EMÜ/Structura)

1

2

0

0

0

2

0

0

0

0

2

0

0

0

0

1

0

0.31911

26

Lankei Gustav
(Advokaadibüroo Premium/Rae vald)

1

1

0

0

0

0

0

0

0

0

1

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