Eesti Naiste Karikavõistlused 2024

Eesti Karikavõistlused 2024

Eesti Naiste Karikavõistlused 2024 Best players MIDDLE BLOCKER
PlayerPlayedServeBlockAttackRanking
  MS#=/TotSv ind.#=/TotBl ind.#=/TotSp ind.Index

1

Maiste Laura Liisa
(TÜ/Bigbank)

1

3

3

0

1

13

0.0323

2

0

0

3

0.0161

14

1

0

26

1.5

0.70951

2

Talvar Anu
(TalTech/Macta Beauty)

3

8

6

3

2

39

0.0208

10

3

0

18

0.026

4

0

1

9

2.6667

0.67952

3

Hiie Berit
(TBD Pharmatech/Kastre)

4

16

12

13

5

67

0.0225

8

5

0

21

0.0106

29

7

4

56

5.1429

0.6048

4

Vengerfeldt Katariina
(Dorpat/ Tartu vald/ TKSK )

1

5

0

3

1

7

0.0047

5

0

0

5

0.0235

14

1

0

23

2.8261

0.52797

5

Ilves Hanna Liisa
(Barrus/Võru VK)

1

5

1

2

3

15

0.0188

1

0

0

1

0.0047

20

2

2

46

1.7391

0.52782

6

Kask Mirjam Karoliine
(TalTech/Macta Beauty)

3

9

1

3

0

27

0.0026

8

2

1

18

0.0208

14

3

2

25

3.24

0.49228

7

Soodla Heleri
(Audentese SG/NK)

3

11

1

4

4

31

0.0101

5

3

0

15

0.0101

6

1

0

15

3.6667

0.49001

8

Päll Elisaveta
(TBD Pharmatech/Kastre)

4

18

2

6

4

42

0.0079

10

5

0

25

0.0132

7

4

0

24

2.25

0.48825

9

Tugedam Karmen
(Audentese SG/NK)

3

12

1

10

0

20

0.002

9

6

0

27

0.0182

12

3

1

19

5.0526

0.47378

10

Koppel Marii
(Barrus/Võru VK)

2

8

3

3

2

27

0.0142

1

1

0

2

0.0028

8

4

2

24

0.6667

0.47311

11

Stamm Karmen
(Gerardo`s Toys/Neemeco)

2

4

3

2

1

18

0.0159

0

0

0

1

0

4

1

1

14

0.5714

0.46926

12

Reinas Anna-Stina
(Dorpat/ Tartu vald/ TKSK )

4

14

3

4

2

51

0.008

4

0

0

8

0.0064

14

5

1

42

2.6667

0.44516

13

Lust Emma
(Viimsi/Tallinna Ülikool)

2

6

1

0

0

19

0.0038

3

1

0

4

0.0115

1

1

0

11

0

0.43656

14

Tänav Sirli
(Viimsi/Tallinna Ülikool)

2

6

0

0

0

12

0

4

0

1

5

0.0154

7

3

2

20

0.6

0.42887

15

Sild Kristel
(TÜ/Bigbank)

1

3

1

2

0

14

0.0081

0

0

0

2

0

4

0

0

6

2

0.40289

16

Kubi Kerli
(Barrus/Võru VK)

2

8

1

2

1

21

0.0057

1

0

0

2

0.0028

16

4

1

52

1.6923

0.40006

17

Lang Ingrit
(Gerardo`s Toys/Neemeco)

3

8

1

2

1

31

0.0052

1

0

0

2

0.0026

18

2

4

43

2.2326

0.39532

18

Eelrand Agnetha Katrina
(TalTech/Macta Beauty)

3

3

1

2

1

8

0.0052

1

0

0

2

0.0026

0

0

0

2

0

0.39105

19

Allik Maarja
(Viljandi Metall)

2

5

1

3

0

9

0.0027

0

0

0

4

0

1

0

0

7

0.7143

0.3552

20

Mäe Mirjam
(TBD Pharmatech/Kastre)

2

5

1

2

0

10

0.0026

0

3

0

7

0

2

1

0

7

0.7143

0.35491

21

Rebane Kirstin
(Dorpat/ Tartu vald/ TKSK )

1

1

0

1

0

2

0

0

1

0

1

0

1

0

0

1

1

0.33417

22

Stamm Kertu
(Audentese SG/NK)

3

5

0

0

0

8

0

0

2

0

4

0

1

0

1

4

0

0.33246

23

Trei Mariliis
(Gerardo`s Toys/Neemeco)

1

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0.33246

24

Villems Andra
(Barrus/Võru VK)

2

2

0

1

0

2

0

0

0

0

0

0

1

1

1

5

-0.4

0.33177

25

Kauts Kairi
(Barrus/Võru VK)

1

1

0

0

0

3

0

0

0

0

0

0

0

0

1

1

-1

0.33075

26

Treiberg Talvi
(Viimsi/Tallinna Ülikool)

1

1

0

0

0

4

0

0

0

0

0

0

0

1

1

2

-1

0.33075

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