Aadu Luukase karikas 2019

Aadu Luukase karikas 2019

Aadu Luukase karikas 2019 Best players OPPOSITE
PlayerPlayedServeBlockAttackRanking
  MS#=/TotSv ind.#=/TotBl ind.#=/TotSp ind.Index

1

Šmidl Matej
(SELVER Tallinn)

4

12

3

13

5

44

0.0127

10

7

0

20

0.0159

55

12

8

118

3.5593

0.42744

2

Lõhmus Timo
(SELVER Tallinn)

1

3

0

2

1

10

0.0076

3

2

0

5

0.0227

10

1

1

20

1.2

0.42546

3

Steinberg Sander
(Tallinna Ülikool)

2

6

4

3

0

20

0.0152

2

3

2

9

0.0076

19

2

4

52

1.5

0.38424

4

Nuut Mihkel
(TalTech)

4

11

7

9

1

44

0.0146

3

4

0

13

0.0055

38

10

5

78

3.2436

0.37764

5

Stockton Curtis
(BIGBANK Tartu)

5

16

5

12

2

61

0.0088

4

5

0

21

0.005

75

15

8

137

6.073

0.35651

6

Platacs Kristaps
(PÄRNU VK)

2

5

1

3

2

14

0.011

1

4

1

6

0.0037

20

4

1

36

2.0833

0.34304

7

Maciel Daniel
(SAAREMAA VK)

4

13

0

14

1

33

0.0016

6

6

2

19

0.0096

53

6

10

96

5.0104

0.33689

8

Varblane Mihkel
(SELVER Tallinn)

4

11

4

5

1

33

0.0079

3

8

2

14

0.0048

11

2

1

22

4

0.32332

9

Poole Robert
(PÄRNU VK)

2

4

0

3

2

13

0.0074

1

5

0

7

0.0037

3

2

3

18

-0.4444

0.31274

10

Uuskari Markus
(SAAREMAA VK)

4

13

0

6

1

29

0.0015

3

2

0

7

0.0044

25

3

2

47

5.5319

0.31215

11

Õunpuu Janno
(TalTech)

4

4

2

4

0

9

0.0036

0

2

1

3

0

6

4

1

21

0.1905

0.27903

12

Mäe Madis
(ESTNOR/KIILI )

1

2

0

2

0

4

0

0

1

0

1

0

1

1

0

6

0

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