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

Pertens Silvia
(Rae Spordikool/VIASTON)

2

5

2

1

5

23

0.0273

4

2

0

9

0.0156

17

0

1

43

1.8605

4

5

2

29

0.1379

0.2814

2

Rikand Susanna Elisabeth
(TBD Pharmatech/Kastre)

5

15

13

9

5

54

0.0293

0

2

0

3

0

41

16

6

113

2.5221

12

14

8

96

0.1146

0.24957

3

Lember Nora
(TÜ/Bigbank)

7

23

13

4

4

86

0.0157

9

3

0

15

0.0083

92

18

10

220

6.6909

25

14

7

125

0.272

0.23713

4

Ploomipuu Marta-Mia
(TBD Pharmatech/Kastre)

1

4

4

2

0

17

0.0233

1

1

0

7

0.0058

15

6

2

37

0.7568

0

0

0

0

0

0.23188

5

Palk Freia Liisa
(Audentese SG)

6

20

13

6

4

84

0.0178

5

2

0

13

0.0052

70

26

5

189

4.127

12

12

8

88

0.0568

0.22516

6

Lukas Keira Liina
(Audentese SG)

3

10

6

1

3

40

0.0173

4

3

0

10

0.0077

31

4

6

78

2.6923

10

3

6

48

0.2083

0.22317

7

Püvi Erle
(Viljandi Metall)

1

5

0

2

5

19

0.0238

0

0

0

0

0

11

3

1

46

0.7609

2

2

3

22

0.0909

0.21976

8

Lepp Sandra
(Viimsi/Tallinna Ülikool)

6

20

15

13

3

63

0.0188

5

2

0

13

0.0052

25

12

6

102

1.3725

10

11

9

126

0.0952

0.21649

9

Põldma Liisa
(TÜ/Bigbank)

2

5

3

0

3

13

0.0234

0

1

0

1

0

4

2

1

16

0.3125

0

0

1

11

0.5455

0.21612

10

Hunt Raili
(Viimsi/Tallinna Ülikool)

8

28

9

8

5

95

0.0111

8

6

0

28

0.0064

69

17

20

205

4.3707

17

12

4

126

0.254

0.20496

11

Kubi Kerli
(BARRUS/Võru VK)

9

35

11

14

6

103

0.0113

3

10

0

25

0.002

76

17

10

261

6.5709

21

24

12

143

0.1329

0.2046

12

Allik Maria
(Viljandi Metall)

1

5

0

2

4

25

0.019

0

0

0

0

0

10

2

1

28

1.25

3

5

4

29

0.0345

0.20442

13

Huik Annabel
(TÜ/Bigbank)

5

15

5

4

5

45

0.0129

0

1

0

5

0

38

6

3

74

5.8784

12

10

2

65

0.2

0.20277

14

Haring Haide
(BARRUS/Võru VK)

9

35

12

8

3

86

0.01

10

0

1

25

0.0067

76

22

17

287

4.5122

19

10

12

107

0.2804

0.20241

15

Ilves Hanna Liisa
(BARRUS/Võru VK)

5

19

8

5

2

68

0.0119

6

6

0

32

0.0072

27

9

3

103

2.767

3

1

0

36

0.3056

0.20229

16

Pihor Lisette
(TBD Pharmatech/Kastre)

8

25

9

14

3

65

0.0118

3

4

0

11

0.003

50

14

16

170

2.9412

19

15

15

148

0.1757

0.19346

17

Tänav Sigrit
(TalTech/Nordaid)

2

8

3

1

1

25

0.012

1

3

0

6

0.003

21

9

6

77

0.6234

4

13

1

53

0.0377

0.18461

18

Arak Anette
(Audentese SG)

7

17

3

4

5

41

0.0071

3

2

0

6

0.0027

32

7

4

87

4.1034

10

8

3

50

0.16

0.18132

19

Vahula Heidi
(Audentese SG)

7

20

10

5

3

52

0.0115

4

5

0

14

0.0035

23

13

12

103

-0.3883

4

7

3

68

0.0294

0.18019

20

Hanimägi Hannemai
(TBD Pharmatech/Kastre)

1

4

1

1

1

9

0.0116

0

2

0

3

0

12

4

2

33

0.7273

1

1

1

4

0

0.17732

21

Kaukver Siret
(Viimsi/Tallinna Ülikool)

8

21

7

4

2

39

0.0071

2

2

0

6

0.0016

21

7

10

74

1.1351

5

13

8

67

-0.0896

0.16795

22

Peit Nette
(Rae Spordikool/VIASTON)

1

2

1

1

0

5

0.0077

0

1

0

1

0

4

1

1

11

0.3636

1

1

1

8

0.125

0.16416

23

Pent Rebecca
(TalTech/Nordaid)

2

6

1

3

1

23

0.006

0

0

0

3

0

19

18

1

55

0

4

1

7

41

0.122

0.15792

24

Laigu Liis
(TBD Pharmatech/Kastre)

6

16

3

2

1

19

0.0051

1

0

0

1

0.0013

10

4

4

43

0.7442

5

11

2

45

-0.0222

0.15749

25

Tamm Liisa
(TÜ/Bigbank)

5

10

3

1

0

19

0.0042

0

0

0

1

0

11

5

2

32

1.25

3

4

0

16

0.125

0.15689

26

Maiste Laura-Liisa
(TÜ/Bigbank)

5

15

3

4

1

50

0.0048

1

5

0

16

0.0012

16

4

0

31

5.8065

1

1

0

5

0.2

0.1565

27

Kranich Liis
(BARRUS/Võru VK)

1

2

1

0

0

4

0.0049

0

0

0

0

0

0

0

0

0

0

0

0

0

2

0.5

0.15434

28

Siimson Sonja
(Viljandi Metall)

1

3

0

0

0

4

0

1

0

0

1

0.0048

2

3

0

7

-0.4286

3

1

4

16

0.125

0.14976

29

Kadaja Maike
(TBD Pharmatech/Kastre)

2

4

0

1

1

5

0.0041

0

0

0

0

0

0

3

0

12

-1

0

0

0

8

0.375

0.14878

30

Salu Kristiina
(TBD Pharmatech/Kastre)

7

18

1

7

1

29

0.0023

0

2

0

2

0

14

9

9

73

-0.9863

5

20

10

66

-0.3182

0.14345

31

Kaseorg Pille-Riin
(TBD Pharmatech/Kastre)

1

2

0

1

0

1

0

0

0

0

0

0

0

0

0

1

0

0

1

0

3

-0.3333

0.14105

32

Sevastjanova Adelina
(TBD Pharmatech/Kastre)

1

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0.14105

33

Järvelaid Mariete
(Audentese SG)

1

1

0

0

0

0

0

0

0

0

0

0

0

1

1

2

-1

0

0

1

2

0

0.14105

34

Mark Lauree
(BARRUS/Võru VK)

4

7

0

3

0

3

0

0

1

0

2

0

2

1

2

15

-0.4667

0

0

0

1

0

0.14105

35

Treier Lisete
(TBD Pharmatech/Kastre)

2

2

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

5

0

5

-1

0.14105

36

Raatma Riann
(Audentese SG)

2

3

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

1

0

5

0

0.14105

37

Kauksi Kätriin
(BARRUS/Võru VK)

2

3

0

0

0

0

0

0

0

0

2

0

0

0

1

6

-0.5

0

0

0

3

0.6667

0.14105

38

Räim Roosmarii
(BARRUS/Võru VK)

1

1

0

0

0

5

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0.14105

39

Kala Adele
(TalTech/Nordaid)

1

1

0

0

0

0

0

0

0

0

0

0

0

0

0

1

0

0

2

0

3

-0.3333

0.14037

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