MIZUNODEILD kvenna 2016-2017

MIZUNODEILD kvenna 2016-2017

MIZUNODEILD kvenna 2016-2017 Best players OPPOSITE
PlayerPlayedServeServeBlockBlockAttackAttackRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.Index

1

Yeazel Kate
(Afturelding)

14

48

28

16

4

179

0,0155

0,0155

15

7

0

22

0,0073

0,0073

128

48

10

189

17,7778

17,7778

0,56012

2

Grétarsdóttir Thelma Dögg
(Afturelding)

9

26

20

10

0

102

0,0146

0,0146

3

1

0

4

0,0022

0,0022

63

29

2

94

8,8511

8,8511

0,50031

3

Sigmundsdóttir Laufey Björk
(HK)

16

56

26

18

6

200

0,0126

0,0126

13

14

0

27

0,0051

0,0051

93

31

11

135

21,1556

21,1556

0,44091

4

Eiríksdóttir Særún Birta
(Þróttur Nes)

6

21

11

9

0

50

0,0118

0,0118

2

0

0

2

0,0021

0,0021

8

12

3

23

-6,3913

-6,3913

0,42954

5

Guðnadóttir Gígja
(Þróttur Nes)

12

44

15

16

3

137

0,0092

0,0092

10

3

0

13

0,0051

0,0051

55

37

8

103

4,2718

4,2718

0,40919

6

Davíðsdóttir Hildur
(KA)

17

64

14

48

0

153

0,0051

0,0051

13

4

0

17

0,0047

0,0047

90

70

17

178

1,0787

1,0787

0,37188

7

Gunnarsdóttir María
(Þróttur R)

14

48

7

2

3

143

0,0047

0,0047

0

3

0

3

0

0

46

30

10

90

3,2

3,2

0,36284

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:  4