Aadu Luukase karikas 2024

Aadu Luukase karikas 2024

Aadu Luukase karikas 2024 Best players MIDDLE BLOCKER
PlayerPlayedBlockServeAttackRanking
  MS#=/TotBl ind.#=/TotSv ind.#=/TotSp ind.Index

1

Peterson Kristo Joosep
(PÄRNU VK)

3

7

13

2

1

20

0.0263

1

6

1

25

0.004

9

0

2

21

2.3333

0.49126

2

Tigane Priit
(Danpower/Võru VK)

2

7

5

0

0

5

0.0175

1

1

2

21

0.0105

3

0

2

10

0.7

0.46836

3

Treial Henri
(Barrus Võru VK)

3

10

8

3

0

18

0.0181

2

4

1

35

0.0068

15

0

2

26

5

0.46061

4

Vanamõisa Jörgen
(PÄRNU VK)

4

14

6

14

0

40

0.0096

4

5

4

72

0.0127

17

1

3

34

5.3529

0.44049

5

Parish Ian
(Selver xTalTech)

1

3

2

5

0

10

0.0148

1

1

0

8

0.0074

7

0

0

16

1.3125

0.43839

6

Ojamaa Karl Kerdo
(EstNor/Kiili)

3

9

7

5

1

16

0.016

2

1

0

27

0.0046

14

3

3

27

2.6667

0.43382

7

Soo Kevin
(BIGBANK Tartu)

2

5

4

0

0

4

0.0129

0

2

2

20

0.0065

6

0

0

7

4.2857

0.42749

8

Rahuoja Mattias
(Barrus Võru VK)

4

11

5

6

0

21

0.0083

3

3

4

40

0.0116

6

2

2

18

1.2222

0.4205

9

Svans Toms
(PÄRNU VK)

5

15

7

14

0

57

0.0087

2

11

4

50

0.0074

35

1

2

60

8

0.41386

10

Palsi Andres
(Advokaadibüroo Premium/Rae vald)

1

5

1

0

0

1

0.0051

1

6

1

17

0.0103

2

0

0

6

1.6667

0.39666

11

Veltson Markus
(Advokaadibüroo Premium/Rae vald)

2

9

3

1

1

5

0.0078

2

4

0

22

0.0052

17

1

0

26

5.5385

0.39435

12

Aganits Andri
(Selver xTalTech)

3

8

2

11

0

22

0.0045

2

1

2

32

0.009

17

0

1

26

4.9231

0.39276

13

Naaber Mart
(BIGBANK Tartu)

3

11

5

7

0

29

0.0101

0

5

0

33

0

23

0

2

32

7.2187

0.38514

14

Wardlow Rico Taylor
(BIGBANK Tartu)

1

4

1

7

0

13

0.0056

1

3

0

9

0.0056

8

1

1

15

1.6

0.37768

15

Mitt Karl
(EstNor/Kiili)

3

8

4

0

0

4

0.008

1

5

0

18

0.002

10

4

1

21

1.9048

0.3739

16

Kõivoste Cenor
(Danpower/Võru VK)

2

5

2

0

0

2

0.007

0

1

1

7

0.0035

2

1

1

8

0

0.37256

17

Lehtniit Janar
(IMsport/Türi SK)

1

3

1

2

0

4

0.009

0

1

0

5

0

2

0

0

6

1

0.36907

18

Päid Siim
(Eesti Maaülikool/Structura)

2

6

1

0

0

3

0.0032

2

4

0

15

0.0065

2

0

0

8

1.5

0.36806

19

Täht Tarvo
(Danpower/Võru VK)

1

2

0

0

0

0

0

1

0

0

5

0.008

0

0

0

0

0

0.35478

20

Lankei Oliver
(Danpower/Võru VK)

3

8

1

1

0

2

0.0021

0

7

1

20

0.0021

6

0

0

13

3.6923

0.34532

21

Rüütel Riivo
(Eesti Maaülikool/Structura)

2

6

0

2

0

3

0

0

3

1

16

0.0032

2

1

0

4

1.5

0.33336

22

Lomp Siim
(EstNor/Kiili)

3

5

0

0

0

0

0

0

1

0

5

0

5

1

0

7

2.8571

0.32336

23

Pähn Ragnar
(Eesti Maaülikool/Structura)

1

2

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0.31911

24

Lellsaar Märt
(IMsport/Türi SK)

1

2

0

0

0

1

0

0

1

0

2

0

0

0

0

1

0

0.31911

25

Marrandi Jan-Marten
(IMsport/Türi SK)

1

2

0

0

0

0

0

0

2

0

3

0

0

0

0

0

0

0.31911

26

Vaher Kristjan
(Danpower/Võru VK)

1

1

0

0

0

0

0

0

1

0

2

0

0

0

0

0

0

0.31911

27

Haponen Rasmus
(IMsport/Türi SK)

1

1

0

0

0

0

0

0

0

0

0

0

0

0

0

1

0

0.31911

28

Parker Riho
(Danpower/Võru VK)

2

2

0

0

0

0

0

0

0

0

1

0

0

0

1

2

-1

0.31764

29

Eskla Hannes
(EstNor/Kiili)

1

1

0

1

0

2

0

0

0

0

2

0

0

0

2

2

-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