Naiste Eesti meistrivõistlused

Naiste Eesti Meistrivõistlused

Naiste Eesti meistrivõistlused Best players OPPOSITE
PlayerPlayedServeBlockAttackRanking
  MS#=/TotSv ind.#=/TotBl ind.#=/TotSp ind.Index

1

Kullerkann Kadi
(TalTech/Tradehouse)

12

39

16

13

6

124

0.0129

16

17

1

59

0.0094

149

33

24

318

11.283

0.50613

2

Kuivonen Eva Liisa
(Audentese SG /Noortekoondis)

14

50

17

19

12

167

0.0131

20

21

0

54

0.009

185

45

28

512

10.9375

0.50564

3

Suvi Ingris
(TÜ/Bigbank)

13

52

25

46

7

175

0.0144

25

21

0

64

0.0112

140

49

33

433

6.9654

0.50025

4

Kuusk Ave
(Tallinna Ülikool)

7

25

10

14

3

72

0.0116

11

6

0

35

0.0098

78

21

15

211

4.9763

0.46233

5

Hollas Salme Adeele
(Famila/Võru VK)

15

55

17

16

8

206

0.0101

10

12

1

50

0.004

71

20

14

227

8.9648

0.46109

6

Lember Dzintra
(TalTech/Tradehouse)

8

11

7

5

2

40

0.0093

0

2

0

3

0

13

7

2

31

1.4194

0.4037

7

Talvar Anu
(Audentese SG /Noortekoondis)

12

34

6

7

3

67

0.0048

3

3

0

14

0.0016

9

7

3

67

-0.5075

0.3655

Ranking Calculation

Opposite

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)

  • 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 Spikes per set:  3

Serve

  • # serve ace

  • / half point

  • = serve error

Attack

  • # point

  • / blocked

  • = error

Block

  • # point

  • / Net touch

  • = hand out

Filters applied

  • Minimum number of Matches played:  1