Eesti Naiste Karikavõistlused 2023

Eesti Karikavõistlused 2023

Eesti Naiste Karikavõistlused 2023 Best players WING SPIKER
PlayerPlayedServeBlockAttackReceptionRanking
  MS#=/TotSv ind.#=/TotBl ind.#=/TotSp ind.#=/TotRc ind.Index

1

Kandimaa Lill
(TBD Pharmatech/Kastre)

6

24

11

9

8

80

0.0186

19

15

0

50

0.0186

38

4

7

97

6.6804

0

0

0

3

0.3333

0.27682

2

Peit Nette
(TalTech)

4

11

7

3

3

57

0.0194

4

3

2

11

0.0078

37

3

3

75

4.5467

13

7

2

46

0.1522

0.24013

3

Kaas Triin
(Viimsi/Tallinna Ülikool)

1

4

3

2

1

12

0.0231

1

1

0

2

0.0058

12

3

2

41

0.6829

5

3

4

29

0.1379

0.23135

4

Hansman Helerin
(Dorpat/ Tartu vald/ TKSK )

4

16

11

6

2

57

0.0187

2

3

0

8

0.0029

37

7

8

110

3.2

21

8

8

85

0.2824

0.219

5

Hollas Salme Adeele
(TÜ/Bigbank)

3

9

3

5

2

24

0.0118

5

3

0

9

0.0118

29

5

3

70

2.7

7

4

3

47

0.1702

0.21295

6

Lebedeva Elina
(TBD Pharmatech/Kastre)

6

22

8

1

5

74

0.0128

4

3

0

10

0.0039

78

14

15

203

5.3103

19

5

4

110

0.3545

0.20943

7

Cicetti Caterina
(Audentese SG/NK)

2

7

3

3

2

16

0.0152

2

1

0

5

0.0061

15

3

2

33

2.1212

9

3

3

23

0.2174

0.20894

8

Kattai Karlotta
(Audentese SG/NK)

2

6

2

4

4

24

0.0182

1

1

1

4

0.003

8

2

1

27

1.1111

6

3

2

27

0.1852

0.20825

9

Lass Marily
(TalTech)

4

12

3

2

2

45

0.009

3

2

0

13

0.0054

39

11

3

105

2.8571

12

6

3

52

0.25

0.1893

10

Kalm Kadi
(TBD Pharmatech/Kastre)

6

20

2

4

5

87

0.0069

3

7

0

12

0.0029

33

3

7

115

4

28

10

1

83

0.3855

0.1818

11

Miller Mia Marta
(TBD Pharmatech/Kastre)

2

5

3

1

1

11

0.0122

0

0

0

0

0

5

1

0

20

1

2

0

0

7

0.2857

0.18006

12

Reiter Laura
(Dorpat/ Tartu vald/ TKSK )

4

16

2

1

1

44

0.0043

3

0

0

8

0.0043

31

3

4

80

4.8

21

5

3

58

0.3793

0.17949

13

Kranich Liis
(Barrus/Võru VK)

2

8

2

2

1

24

0.0088

1

2

0

4

0.0029

15

4

2

49

1.4694

13

8

1

40

0.425

0.17843

14

Kiisk Ingrid
(TalTech)

3

7

2

6

2

31

0.0093

0

2

0

5

0

20

4

1

51

2.0588

19

5

3

58

0.3448

0.1758

15

Siimson Sonja
(TÜ/Bigbank)

3

8

4

0

1

15

0.0118

0

0

1

1

0

6

1

1

16

2

2

3

1

12

0

0.17518

16

Alas Reet
(Dorpat/ Tartu vald/ TKSK )

4

15

7

3

1

37

0.0115

0

0

0

0

0

13

2

1

31

4.8387

4

8

3

26

-0.0769

0.1741

17

Lember Nora
(Audentese SG/NK)

2

6

1

1

2

15

0.0091

0

1

1

2

0

21

8

4

54

1

3

1

2

23

0.087

0.17063

18

Jõearu Merilyn
(Viimsi/Tallinna Ülikool)

1

3

0

1

1

7

0.0058

1

1

0

2

0.0058

3

2

3

36

-0.1667

0

3

1

6

-0.5

0.16762

19

Pikk Renate
(Viljandi Metall)

2

6

3

2

0

17

0.0083

0

6

0

6

0

20

11

2

64

0.6562

13

7

5

46

0.2826

0.16738

20

Põldma Liisa
(Audentese SG/NK)

2

6

1

1

0

9

0.003

3

2

0

7

0.0091

7

2

5

21

0

1

1

0

4

0.5

0.16648

21

Peterson Kädi
(Pärnu Spordikool)

1

2

1

0

0

5

0.0083

0

0

0

0

0

7

1

2

19

0.4211

5

3

1

19

0.2632

0.16641

22

Huik Annabel
(TÜ/Bigbank)

3

10

0

5

1

25

0.0024

1

0

0

2

0.0024

17

3

2

48

2.5

3

4

9

50

0.02

0.16032

23

Vink Kristi
(TBD Pharmatech/Kastre)

1

1

1

0

0

4

0.0058

0

0

0

0

0

0

0

0

2

0

1

1

0

3

0.3333

0.15774

24

Loos Lisette
(TBD Pharmatech/Kastre)

4

9

1

2

1

16

0.003

1

2

0

4

0.0015

18

5

3

61

1.4754

7

6

1

41

0.1951

0.15733

25

Rahuoja Ragne
(TalTech)

4

8

2

2

1

16

0.0054

0

0

0

0

0

4

0

0

12

2.6667

0

0

1

7

0

0.1558

26

Mõrd Maren
(TalTech)

3

6

1

1

0

12

0.0023

1

1

0

5

0.0023

11

4

2

32

0.9375

0

0

0

5

0

0.15466

27

Metsamärt Kelly
(Viljandi Metall)

2

7

1

3

0

16

0.0028

0

3

0

5

0

19

4

5

55

1.2727

0

0

0

1

1

0.15274

28

Arak Anette
(Audentese SG/NK)

2

5

0

1

0

4

0

1

0

0

1

0.003

7

3

1

25

0.6

4

3

3

23

0.0435

0.14844

29

Vahula Heidi
(Audentese SG/NK)

2

4

0

2

0

4

0

0

0

0

0

0

6

2

2

15

0.5333

4

3

2

24

0.0833

0.14292

30

Vasilkovski Getriin
(Barrus/Võru VK)

1

1

0

0

0

0

0

0

1

0

1

0

1

0

0

4

0.25

0

0

0

0

0

0.14184

31

Märtson Silje
(Dorpat/ Tartu vald/ TKSK )

4

8

0

2

0

12

0

0

0

1

1

0

7

0

1

21

2.2857

6

3

2

31

0.129

0.14132

32

Kivimaa Kristi
(Dorpat/ Tartu vald/ TKSK )

2

3

0

0

0

2

0

0

0

0

1

0

1

0

0

1

3

1

1

0

3

0

0.14105

33

Pähkel Merilyn
(TalTech)

1

1

0

0

0

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0.14105

34

Kubi Kertu
(Barrus/Võru VK)

1

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0.14105

35

Teesalu Vanessa
(Viljandi Metall)

1

3

0

2

0

5

0

0

1

0

2

0

0

0

0

5

0

0

0

0

0

0

0.14105

36

Skuratovski Elina
(Viimsi/Tallinna Ülikool)

1

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0.14105

37

Krass Lisandra
(Pärnu Spordikool)

1

1

0

0

0

2

0

0

0

0

0

0

0

2

0

9

-0.2222

0

0

0

4

0.25

0.14086

38

Pihor Lisette
(TBD Pharmatech/Kastre)

2

3

0

1

0

3

0

0

0

0

0

0

1

4

1

15

-0.8

4

2

0

16

0.3125

0.13918

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