Eesti Naiste Karikavõistlused 2020

Eesti Karikavõistlused 2020

Eesti Naiste Karikavõistlused 2020 Best players WING SPIKER
PlayerPlayedServeBlockAttackReceptionRanking
  MS#=/TotSv ind.#=/TotBl ind.#=/TotSp ind.#=/TotRc ind.Index

1

Õunpuu Kaisa
(Tallinna Ülikool)

1

3

8

0

0

15

0.062

1

0

0

1

0.0078

7

0

5

28

0.2143

7

3

0

15

0.4

0.41728

2

Peit Nette
(TalTech/Tradehouse)

3

8

12

2

1

54

0.039

1

0

0

2

0.003

31

0

0

47

5.2766

6

3

3

30

0.2667

0.31604

3

Graumann Mari-Liis
(Famila/Võru VK)

3

10

7

4

2

35

0.0218

1

1

1

4

0.0024

20

5

5

71

1.4085

10

4

1

46

0.413

0.222

4

Lebedeva Elina
(Audentese SG /Noortekoondis)

1

5

2

2

2

21

0.0194

0

2

0

2

0

9

5

2

33

0.303

8

2

4

43

0.2326

0.20227

5

Mõrd Maren
(Audentese SG /Noortekoondis)

5

18

8

8

2

59

0.013

3

2

0

15

0.0039

49

14

11

154

2.8052

12

5

2

46

0.3478

0.19872

6

Huik Annabel
(TÜ/Bigbank)

2

8

3

2

1

30

0.0117

0

1

0

4

0

9

4

6

59

-0.1356

9

7

3

58

0.0862

0.17449

7

Hansman Helerin
(TÜ/Bigbank)

2

6

1

2

1

17

0.0058

2

3

0

11

0.0058

8

2

4

36

0.3333

2

2

2

17

0.1176

0.16979

8

Jõearu Merilyn
(Tallinna Ülikool)

2

7

1

2

1

22

0.0066

1

0

0

1

0.0033

9

6

0

51

0.4118

3

2

0

32

0.5937

0.16886

9

Säästla Maria
(TalTech/Tradehouse)

1

1

1

0

0

5

0.0089

0

1

0

1

0

4

1

0

8

0.375

0

0

1

5

0

0.16763

10

Paalo Merilin
(TalTech/Tradehouse)

3

8

1

1

0

26

0.003

2

1

0

7

0.006

14

2

4

45

1.4222

9

3

0

25

0.32

0.16618

11

Hiie Berit
(Tallinna Ülikool)

1

3

0

1

0

5

0

1

0

0

4

0.0078

2

1

1

7

0

0

0

0

0

0

0.155

12

Lember Nora
(Audentese SG /Noortekoondis)

2

7

1

4

0

16

0.0033

0

3

0

5

0

19

12

1

65

0.6462

0

0

0

0

0

0.1522

13

Kuuse Maret
(Tallinna Ülikool)

2

6

1

1

0

14

0.0033

0

0

0

1

0

9

7

1

40

0.15

10

0

1

34

0.5588

0.15176

14

Kranich Liis
(Famila/Võru VK)

4

7

1

2

0

11

0.0019

1

0

0

1

0.0019

3

3

1

16

-0.4375

10

1

1

23

0.5652

0.15087

15

Rahuoja Ragne
(Audentese SG /Noortekoondis)

5

11

0

0

2

18

0.0026

0

1

0

1

0

3

0

1

9

2.4444

0

1

0

7

-0.1429

0.14806

16

Siht Stefi
(Tallinna Ülikool)

2

5

0

0

0

6

0

1

1

0

2

0.0033

3

3

0

19

0

0

0

0

0

0

0.1469

17

Haring Haide
(Famila/Võru VK)

4

12

0

3

1

21

0.0019

1

1

0

6

0.0019

14

15

7

78

-1.2308

0

0

0

2

0.5

0.1456

18

Vasilkovski Getriin
(Famila/Võru VK)

4

4

0

0

0

4

0

0

1

0

3

0

4

0

1

15

0.8

0

3

0

8

-0.125

0.1436

19

Pertens Silvia
(TalTech/Tradehouse)

1

1

0

0

0

5

0

0

0

0

0

0

4

1

0

8

0.375

0

1

0

4

0

0.14224

20

Kubi Kerli
(Famila/Võru VK)

4

4

0

1

0

4

0

0

0

0

0

0

2

2

0

9

0

4

3

0

14

0.2143

0.14149

21

Laigu Liis
(TÜ/Bigbank)

2

4

0

0

0

5

0

0

1

0

3

0

4

2

5

18

-0.6667

1

2

1

12

0.0833

0.13913

Ranking Calculation

Wing-spiker

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)

  • Reception Index (Rc ind.): positive receptions minus negative receptions divided the total receptions (ranking is available only if the player has made at least three receptions 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 Receptions per set:  3

  • Minimum number of Spikes per set:  3

Serve

  • # serve ace

  • / half point

  • = serve error

Reception

  • # perfect

  • / half point

  • = error

Attack

  • # point

  • / blocked

  • = error

Block

  • # point

  • / Net touch

  • = hand out

Filters applied

  • Minimum number of Matches played:  1