Baltic Women`s Volleyball League 2018-2019

Baltic Women`s Volleyball League 2018-2019

Baltic Women`s Volleyball League 2018-2019 Best players OPPOSITE
PlayerPlayedServeServeBlockBlockAttackAttackRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.Index

1

Levinska Marta Kamelija
(Riga Volleyball School)

18

66

42

44

7

266

0.0168

0.0168

26

16

1

65

0.0089

0.0089

341

72

28

855

18.6035

18.6035

0.57853

2

Kovalskaja Jekaterina
(Alytaus “Prekyba – Parama”)

19

81

39

31

9

307

0.0137

0.0137

11

17

1

71

0.0031

0.0031

295

87

73

785

13.9299

13.9299

0.51879

3

Paalo Merilin
(TalTech/Tradehouse)

15

54

22

15

9

191

0.0114

0.0114

5

14

2

64

0.0018

0.0018

104

42

33

346

4.526

4.526

0.44818

4

Suvi Ingris
(TÜ/Bigbank)

14

37

17

34

3

108

0.0092

0.0092

16

11

4

41

0.0073

0.0073

82

24

17

231

6.5671

6.5671

0.44421

5

Sola Līva
(Jelgava/LLU)

17

62

12

14

5

190

0.0058

0.0058

34

16

2

107

0.0116

0.0116

178

71

30

528

9.0417

9.0417

0.43058

6

Savukynaitė Ida Marija
(TK “Kaunas”-VDU)

15

29

0

6

4

39

0.0015

0.0015

5

2

2

18

0.0019

0.0019

15

11

7

86

-1.0116

-1.0116

0.33801

7

Pridatko Vlada
(Riga Volleyball School)

6

10

0

1

0

3

0

0

0

0

0

0

0

0

3

4

1

12

-1.6667

-1.6667

0.32305

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:  5