Aadu Luukase karikas 2020

Aadu Luukase karikas 2020

Aadu Luukase karikas 2020 Best players OPPOSITE
PlayerPlayedServeBlockAttackRanking
  MS#=/TotSv ind.#=/TotBl ind.#=/TotSp ind.Index

1

Põlluäär Siim
(BIGBANK Tartu)

4

14

5

10

3

49

0.0122

6

7

1

23

0.0091

30

5

9

78

2.8718

0.38266

2

Teppan Renee
(SELVER Tallinn)

5

18

4

22

5

67

0.0101

7

9

1

26

0.0079

56

13

5

113

6.0531

0.3793

3

Steinberg Sander
(Tallinna Ülikool)

3

8

3

7

2

27

0.0136

2

6

0

9

0.0054

26

3

5

53

2.717

0.36935

4

Pulk Hindrek
(SAAREMAA VK)

3

9

2

4

3

36

0.0116

2

2

0

11

0.0047

24

7

5

55

1.9636

0.35093

5

Varblane Mihkel
(SELVER Tallinn)

5

20

2

11

2

62

0.0045

9

14

1

41

0.0101

19

2

2

44

6.8182

0.33325

6

Platačs Kristaps
(PÄRNU VK)

2

9

0

4

1

29

0.0026

3

7

1

16

0.0077

31

12

4

75

1.8

0.31839

7

Uuskari Markus
(SAAREMAA VK)

3

8

3

7

0

28

0.0067

1

5

1

9

0.0022

27

6

5

52

2.4615

0.3146

8

Õunpuu Janno
(TalTech)

1

3

1

2

1

8

0.01

0

0

0

2

0

7

2

2

17

0.5294

0.31179

9

Parrol Madis
(LotusTimber/Neemeco SK)

2

6

1

4

1

16

0.0077

0

1

0

3

0

12

6

4

33

0.3636

0.29932

10

Villem Jalo
(LotusTimber/Neemeco SK)

1

3

0

0

0

4

0

1

1

0

3

0.0074

2

3

2

12

-0.75

0.29289

11

Nuut Mihkel
(SELVER Tallinn)

2

3

0

4

0

12

0

2

2

0

4

0.0055

4

4

0

16

0

0.28709

12

Mesila Argo
(Tallinna Ülikool)

1

1

0

0

0

0

0

0

0

0

0

0

0

1

0

1

-1

0.2612

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