Naiste Eesti meistrivõistlused

Naiste Eesti Meistrivõistlused

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

1

Graumann Mari-Liis
(Famila/Võru VK)

4

14

14

3

2

64

0.0258

4

1

0

7

0.0065

46

7

6

110

4.2

9

4

3

36

0.25

0.26051

2

Paalo Merilin
(TalTech/Tradehouse)

4

11

6

0

7

43

0.0243

2

0

0

6

0.0037

26

8

3

59

2.7966

6

5

4

50

0.22

0.2409

3

Saharov Margot
(Famila/Võru VK)

7

25

15

7

6

74

0.0196

8

1

0

23

0.0075

66

13

15

213

4.4601

30

10

3

105

0.381

0.24041

4

Heinastu Dorit
(TalTech/Tradehouse)

2

5

4

0

3

23

0.0233

1

1

0

2

0.0033

9

3

1

31

0.8065

2

2

0

9

0.2222

0.22583

5

Haring Haide
(Famila/Võru VK)

8

29

15

14

5

86

0.0161

4

2

0

14

0.0032

69

18

9

180

6.7667

3

0

1

10

0.2

0.2257

6

Huik Annabel
(TÜ/Bigbank)

3

8

4

3

3

29

0.0155

2

1

0

3

0.0044

19

5

1

47

2.2128

5

2

1

25

0.24

0.20661

7

Mõrd Maren
(Audentese SG /Noortekoondis)

4

12

4

4

3

44

0.0135

1

1

0

4

0.0019

34

6

5

79

3.4937

12

12

5

58

0.1034

0.19908

8

Kiisk Ingrid
(TÜ/Bigbank)

1

2

1

1

1

14

0.0172

0

0

0

0

0

6

1

0

12

0.8333

2

1

0

8

0.5

0.19763

9

Lääne Kerttu
(TÜ/Bigbank)

3

10

4

4

1

31

0.011

3

0

0

7

0.0066

28

6

1

78

2.6923

0

0

0

1

0

0.19756

10

Kuusk Ave
(Audentese SG /Noortekoondis)

4

10

4

2

2

36

0.0116

4

5

0

13

0.0077

12

8

2

54

0.3704

0

1

0

1

-1

0.19239

11

Raud Marcella
(TalTech/Tradehouse)

4

8

3

1

2

28

0.0093

2

0

0

4

0.0037

10

4

4

44

0.3636

4

4

1

30

0.2667

0.17715

12

Kubi Kerli
(Famila/Võru VK)

8

29

7

17

6

87

0.0105

3

3

0

12

0.0024

26

9

12

81

1.7901

7

5

5

55

0.1818

0.176

13

Siht Stefi
(Tallinna Ülikool)

5

15

2

6

3

28

0.0069

5

4

0

17

0.0069

25

10

13

88

0.3409

0

0

0

0

0

0.17546

14

Kalm Kadi
(TÜ/Bigbank)

1

5

0

2

1

21

0.0048

1

0

0

2

0.0048

17

2

2

36

1.8056

12

5

0

25

0.36

0.17078

15

Säästla Maria
(TalTech/Tradehouse)

2

5

0

2

2

13

0.0085

0

0

0

4

0

6

2

1

28

0.5357

2

0

2

12

0.3333

0.16706

16

Kranich Liis
(Famila/Võru VK)

7

16

9

7

1

43

0.009

0

0

0

1

0

15

10

5

59

0

7

8

8

61

0.0492

0.16668

17

Rahuoja Ragne
(Audentese SG /Noortekoondis)

3

5

0

1

3

7

0.0075

1

0

0

1

0.0025

4

2

0

13

0.7692

1

4

2

16

-0.1875

0.16647

18

Tänav Sirli
(Tallinna Ülikool)

3

6

2

2

0

11

0.0047

0

2

0

4

0

4

4

0

16

0

0

0

0

0

0

0.15376

19

Raie Grete
(Tallinna Ülikool)

5

11

1

2

2

19

0.0042

0

0

0

0

0

3

1

0

7

3.1429

0

5

1

14

-0.3571

0.1524

20

Vasilkovski Getriin
(Famila/Võru VK)

3

6

1

2

0

7

0.0021

0

0

0

2

0

6

3

3

24

0

0

0

3

4

-0.75

0.14666

21

Külm Kertti
(TÜ/Bigbank)

1

1

0

0

0

1

0

0

0

0

0

0

1

0

0

3

0.3333

0

0

1

3

-0.3333

0.14142

22

Lass Marily
(Audentese SG /Noortekoondis)

1

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0.14105

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