Naiste Eesti meistrivõistlused

Naiste Eesti Meistrivõistlused

Naiste Eesti meistrivõistlused Best players MIDDLE BLOCKER
PlayerPlayedServeBlockAttackRanking
  MS#=/TotSv ind.#=/TotBl ind.#=/TotSp ind.Index

1

Fabbricatore Eva
(Rae Spordikool/VIASTON)

1

3

2

0

5

10

0.0588

5

3

0

8

0.042

9

2

1

14

1.2857

0.9258

2

Põld Kätriin
(Viimsi/Tallinna Ülikool)

3

11

7

6

2

47

0.0187

9

8

0

32

0.0187

23

2

0

45

5.1333

0.62421

3

Kersa Mia Marta
(Rae Spordikool/VIASTON)

1

3

2

2

1

13

0.0252

1

2

0

3

0.0084

2

1

0

10

0.3

0.60539

4

Kandimaa Lill
(TÜ/Bigbank)

3

8

6

1

5

38

0.0251

3

9

0

24

0.0068

7

2

2

19

1.2632

0.59652

5

Laub Paula
(Viimsi/Tallinna Ülikool)

1

4

2

0

2

14

0.0219

2

4

0

14

0.0109

1

0

0

7

0.5714

0.59313

6

Dimitrijev Ragne
(Viljandi Metall)

2

7

3

5

4

25

0.0206

4

0

0

4

0.0118

14

1

0

26

3.5

0.59295

7

Soodla Heleri
(Audentese SG)

4

15

5

2

3

65

0.0125

12

9

0

32

0.0188

13

3

1

29

4.6552

0.57

8

Kaur Laura
(BARRUS/Võru VK)

3

11

3

4

3

29

0.0131

7

2

0

12

0.0153

26

9

1

70

2.5143

0.54878

9

Koppel Marii
(BARRUS/Võru VK)

2

6

4

3

1

19

0.0202

0

3

0

5

0

5

3

0

12

1

0.50852

10

Maiste Laura-Liisa
(TÜ/Bigbank)

1

3

0

0

0

4

0

3

3

0

11

0.0236

4

1

1

10

0.6

0.48274

11

Stamm Kertu
(Audentese SG)

4

15

2

4

3

33

0.0078

7

8

0

30

0.011

24

4

1

48

5.9375

0.47938

12

Talvar Anu
(TalTech/Nordaid)

1

3

2

1

0

9

0.0157

0

3

0

3

0

3

0

1

5

1.2

0.46879

13

Mandra Ann
(TBD Pharmatech/Kastre)

2

6

2

5

1

12

0.0125

1

2

0

5

0.0042

2

0

0

4

3

0.46496

14

Saharov Margot
(BARRUS/Võru VK)

3

11

2

1

3

33

0.0109

2

4

0

16

0.0044

22

0

4

60

3.3

0.45881

15

Mäe Mirjam
(TBD Pharmatech/Kastre)

3

9

2

3

1

22

0.0082

2

0

1

7

0.0055

1

1

0

8

0

0.43567

16

Tänav Sirli
(TalTech/Nordaid)

1

3

0

0

0

5

0

2

4

0

10

0.0157

1

1

1

10

-0.3

0.42952

17

Pill Liisbet
(TÜ/Bigbank)

2

4

0

3

1

10

0.0032

2

0

0

2

0.0064

9

1

0

12

2.6667

0.40326

18

Rei Kaisa
(Viljandi Metall)

2

6

0

3

1

15

0.0029

1

0

0

1

0.0029

18

1

1

41

2.3415

0.37841

19

Tobre Liisbet
(TBD Pharmatech/Kastre)

4

12

1

2

0

30

0.0021

1

5

0

9

0.0021

7

3

0

18

2.6667

0.36642

20

Hiie Berit
(TBD Pharmatech/Kastre)

2

2

1

0

0

4

0.0042

0

0

0

0

0

0

0

0

0

0

0.36629

21

Kirss Säde
(Viimsi/Tallinna Ülikool)

2

4

1

2

0

7

0.0033

0

1

0

2

0

0

0

0

1

0

0.35887

22

Kalmu Saara
(Viljandi Metall)

2

2

1

2

0

4

0.0029

0

0

0

0

0

1

0

0

2

1

0.35795

23

Jefanov Maria Elizabeth
(Audentese SG)

1

2

0

0

0

0

0

0

0

0

0

0

2

0

0

4

1

0.33417

24

Väli Kädi Lii
(Viljandi Metall)

1

1

0

0

0

0

0

0

0

0

0

0

0

0

0

1

0

0.33246

25

Treiberg Talvi
(TalTech/Nordaid)

1

1

0

0

0

1

0

0

0

0

0

0

0

0

0

0

0

0.33246

26

Kuusik Kirke Martina
(TBD Pharmatech/Kastre)

2

2

0

0

0

1

0

0

0

0

0

0

0

0

0

0

0

0.33246

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