Eesti Naiste Karikavõistlused 2025

Eesti Karikavõistlused 2025

Eesti Naiste Karikavõistlused 2025 Best players WING SPIKER
PlayerPlayedServeBlockAttackReceptionRanking
  MS#=/TotSv ind.#=/TotBl ind.#=/TotSp ind.#=/TotRc ind.Index

1

Vahula Heidi
(Audentese SG)

2

4

3

0

3

19

0.0236

1

0

0

1

0.0039

15

3

0

30

1.6

1

1

2

11

-0.1818

0.23244

2

Maiste Laura-Liisa
(TÜ/Bigbank)

2

8

1

2

4

26

0.0149

4

6

0

19

0.0119

5

2

2

19

0.4211

0

2

1

4

-0.5

0.21228

3

Arak Anette
(Audentese SG)

1

3

2

2

0

15

0.0154

1

0

0

1

0.0077

10

1

0

19

1.4211

2

2

2

14

0.2143

0.21061

4

Haring Haide
(Barrus/Võru VK)

2

8

6

2

1

31

0.0197

0

4

0

9

0

17

3

1

61

1.7049

4

3

2

33

0.3333

0.2096

5

Hunt Raili
(Viimsi/Tallinna Ülikool)

4

14

6

5

2

47

0.0116

5

2

0

13

0.0072

44

15

8

131

2.2443

9

4

3

76

0.3289

0.19994

6

Pihor Lisette
(TBD Pharmatech/Kastre)

2

6

2

2

1

16

0.0118

2

1

0

5

0.0079

11

6

5

57

0

1

5

2

37

0.027

0.19206

7

Lepp Sandra
(Viimsi/Tallinna Ülikool)

3

11

3

11

1

31

0.0085

4

4

0

11

0.0085

18

7

6

60

0.9167

5

9

7

62

-0.0161

0.1858

8

Salu Kristiina
(TBD Pharmatech/Kastre)

2

6

2

2

0

11

0.0079

1

1

0

3

0.0039

12

7

0

35

0.8571

0

0

0

1

0

0.17413

9

Rikand Susanna Elisabeth
(TBD Pharmatech/Kastre)

2

6

1

2

1

14

0.0079

1

3

0

4

0.0039

12

6

3

42

0.4286

3

6

2

36

-0.0556

0.17239

10

Järvelaid Mariete
(Audentese SG)

1

3

1

1

0

6

0.0081

0

0

0

0

0

6

1

2

17

0.5294

3

0

1

15

0.2667

0.16621

11

Lukas Keira Liina
(Audentese SG)

1

2

1

1

0

13

0.0081

0

0

0

0

0

6

1

0

12

0.8333

0

3

1

11

-0.2727

0.16603

12

Põldma Liisa
(TÜ/Bigbank)

2

6

1

1

1

16

0.006

1

2

0

5

0.003

7

3

5

26

-0.2308

3

3

1

19

0.1053

0.1627

13

Kubi Kerli
(Barrus/Võru VK)

2

8

2

3

0

18

0.0056

0

4

0

5

0

15

4

3

41

1.561

4

5

1

29

0.1034

0.16226

14

Lember Nora
(TÜ/Bigbank)

2

8

0

1

0

21

0

2

3

0

6

0.006

20

3

9

72

0.8889

8

8

1

40

0.125

0.15499

15

Kauksi Kätriin
(Barrus/Võru VK)

1

2

1

1

0

3

0.0046

0

0

0

1

0

1

1

0

7

0

1

0

0

1

1

0.15358

16

Kaukver Siret
(Viimsi/Tallinna Ülikool)

4

9

1

4

0

17

0.0014

1

1

0

2

0.0014

11

4

2

41

1.0976

1

2

3

30

0.0667

0.15128

17

Miniotaite Nora
(Viimsi/Tallinna Ülikool)

1

2

0

2

0

5

0

0

0

0

0

0

3

2

0

18

0.1111

2

3

0

13

0.0769

0.14156

18

Raatma Riann
(Audentese SG)

1

2

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

1

0

5

0

0.14105

19

Treier Lisete
(TBD Pharmatech/Kastre)

1

1

0

0

0

1

0

0

0

0

0

0

1

1

0

4

0

0

1

0

2

-0.5

0.14105

20

Kaseorg Pille-Riin
(TBD Pharmatech/Kastre)

1

3

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

1

1

3

-0.6667

0.14105

21

Tamm Liisa
(TÜ/Bigbank)

1

3

0

0

0

0

0

0

0

0

0

0

1

1

1

3

-1

0

0

1

4

0.25

0.14105

22

Kadaja Maike
(TBD Pharmatech/Kastre)

1

1

0

1

0

1

0

0

0

0

0

0

0

0

0

1

0

0

0

0

2

0

0.14105

23

Huik Annabel
(TÜ/Bigbank)

2

4

0

0

1

3

0.003

0

1

0

4

0

3

1

3

11

-0.3636

1

1

1

3

-0.3333

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