Unbrokendeild kvenna 2025-2026

Unbrokendeild kvenna 2025-2026

Unbrokendeild kvenna 2025-2026 Best players MIDDLE BLOCKER
PlayerPlayedServeServeBlockBlockAttackAttackRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.Index

1

Tamara Beerová
(Völsungur)

18

65

32

28

5

245

0,013

0,013

39

65

1

184

0,0137

0,0137

102

19

8

254

19,1929

19,1929

0,56945

2

Valdís Unnur Einarsdóttir
(Afturelding)

19

68

22

33

5

219

0,0092

0,0092

57

49

4

193

0,0194

0,0194

53

14

9

174

11,7241

11,7241

0,55784

3

Arna Sólrún Heimisdóttir
(HK)

18

63

14

14

4

170

0,0066

0,0066

37

57

2

180

0,0136

0,0136

88

19

7

187

20,8877

20,8877

0,51505

4

Lovísa Rut Aðalsteinsdóttir
(KA)

19

71

21

11

5

246

0,0086

0,0086

28

34

6

170

0,0093

0,0093

66

12

10

177

17,6497

17,6497

0,49755

5

Maria Jimenez Gallego
(Þróttur Fjarðabyggð)

20

66

12

16

8

162

0,0074

0,0074

27

38

0

143

0,01

0,01

103

28

20

340

10,6765

10,6765

0,4784

6

Dana Gunnarsdóttir
(Þróttur Reykjavík/Blakfélag Hafnafjarðar)

17

56

18

22

5

175

0,0085

0,0085

10

46

2

111

0,0037

0,0037

45

10

7

140

11,2

11,2

0,44788

7

Sylvía Ósk Jónsdóttir
(Þróttur Fjarðabyggð)

20

60

8

35

5

123

0,0048

0,0048

25

48

2

135

0,0093

0,0093

60

26

14

199

6,0302

6,0302

0,44166

8

Victoria Erwat
(HK)

3

12

2

2

0

35

0,0039

0,0039

6

8

0

23

0,0116

0,0116

9

2

1

30

2,4

2,4

0,44133

9

Auður Pétursdóttir
(KA)

17

55

7

15

3

135

0,0037

0,0037

19

30

1

89

0,007

0,007

34

6

5

91

13,9011

13,9011

0,43173

10

Astrid Ericsson
(Afturelding)

18

65

5

14

5

150

0,0036

0,0036

23

46

3

145

0,0082

0,0082

78

25

14

261

9,7126

9,7126

0,43083

11

Sveinbjörg Lilja Ingólfsdóttir
(KA)

3

6

4

1

0

13

0,0114

0,0114

0

0

0

2

0

0

1

0

0

4

1,5

1,5

0,42777

12

Fjóla Rut Svavarsdóttir
(Þróttur Reykjavík/Blakfélag Hafnafjarðar)

11

32

5

9

1

67

0,0033

0,0033

16

20

2

77

0,0088

0,0088

36

10

7

122

4,9836

4,9836

0,42317

13

Jenný Birna Þórsidóttir
(Völsungur)

14

42

10

26

2

113

0,0053

0,0053

10

26

0

74

0,0044

0,0044

5

3

1

24

1,75

1,75

0,40345

14

Þórhildur Lilja Einarsdóttir
(KA)

18

43

7

8

2

114

0,0032

0,0032

10

28

1

56

0,0036

0,0036

15

1

5

45

8,6

8,6

0,3962

15

Guðný Rún Rósantsdóttir
(HK)

12

18

6

4

3

55

0,0055

0,0055

3

8

2

19

0,0018

0,0018

7

3

1

19

2,8421

2,8421

0,39356

16

Dýrleif Hanna Sigmundsdóttir
(Þróttur Reykjavík/Blakfélag Hafnafjarðar)

12

26

6

4

0

55

0,0031

0,0031

4

15

1

45

0,0021

0,0021

13

5

2

60

2,6

2,6

0,37489

17

Elín Eyþóra Sverrisdóttir
(HK)

11

19

3

3

2

51

0,003

0,003

2

6

1

20

0,0012

0,0012

12

2

0

35

5,4286

5,4286

0,37383

18

Katla Sigurðardóttir
(Þróttur Fjarðabyggð)

11

17

1

8

1

19

0,0014

0,0014

6

6

0

27

0,0042

0,0042

5

2

0

20

2,55

2,55

0,37349

19

Emilía Dís Júlíusdóttir
(Afturelding)

4

6

2

3

0

9

0,0032

0,0032

1

5

0

8

0,0016

0,0016

3

0

1

6

2

2

0,3722

20

Diljá Mist Jensdóttir
(KA)

1

1

0

0

0

0

0

0

0

0

0

1

0

0

0

0

0

0

0

0

0,33246

Ranking Calculation

Middle-Blocker

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:  1

Serve

  • # serve ace

  • / half point

  • = serve error

Attack

  • # point

  • / blocked

  • = error

Block

  • # point

  • / invasion

  • = hand out

Filters applied

  • Minimum number of Matches played:  1