Mizunodeild KARLA 2017-2018

Competition

Mizunodeild KARLA 2017-2018 Best players OPPOSITE
PlayerPlayedServeServeBlockBlockAttackAttackRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.Index

1

Andreas Hilmir Halldórsson
(HK)

20

74

23

26

5

310

0,0082

0,0082

22

29

0

51

0,0064

0,0064

196

32

25

253

40,6561

40,6561

0,52849

2

Miguel Mateo Castrillo
(Þróttur Nes)

17

63

26

58

0

218

0,0092

0,0092

29

13

0

42

0,0103

0,0103

475

129

31

639

31,0563

31,0563

0,50973

3

Radoslaw Rybak
(Afturelding)

14

44

12

18

0

137

0,0055

0,0055

12

15

0

27

0,0055

0,0055

140

42

21

203

16,6897

16,6897

0,39016

4

Piotr Kempisty
(Afturelding)

11

37

13

20

0

127

0,0075

0,0075

5

13

0

18

0,0029

0,0029

113

36

14

164

14,2134

14,2134

0,37476

5

Alexander Stefánsson
(Afturelding)

21

76

19

47

0

225

0,0057

0,0057

33

39

0

72

0,0099

0,0099

109

45

9

164

25,4878

25,4878

0,33846

6

Benedikt Baldur Tryggvason
(Stjarnan)

9

29

6

18

1

107

0,0049

0,0049

4

14

0

18

0,0028

0,0028

88

38

13

139

7,7194

7,7194

0,33061

7

Birkir Freyr Elvarsson
(Þróttur Nes)

11

27

0

5

0

35

0

0

1

2

0

3

0,0005

0,0005

20

10

2

32

6,75

6,75

0,26354

8

Bjarki Benediktsson
(HK)

14

19

0

3

0

30

0

0

1

0

0

1

0,0004

0,0004

7

2

0

9

10,5556

10,5556

0,26321

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

  • / invasion

  • = hand out

Filters applied

  • Minimum number of Matches played:  5