Optibet Latvijas čempionāts sievietēm 24/25

Competition

Optibet Latvijas čempionāts sievietēm 24/25 Best players MIDDLE BLOCKER
PlayerPlayedServeServeBlockBlockAttackAttackRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.Index

1

Gintere Marta Beatrise
(Rīgas Volejbola skola/LU)

1

3

2

1

2

12

0,0308

0,0308

2

2

0

5

0,0154

0,0154

0

1

1

5

-1,2

-1,2

0,68983

2

Franckeviča Jana
(Daugavpils Sporta skola)

8

31

12

11

18

112

0,0236

0,0236

18

24

0

83

0,0142

0,0142

35

11

7

98

5,3776

5,3776

0,63707

3

Urbāne Monta
(VK Jelgava)

1

5

4

1

1

16

0,0231

0,0231

2

11

0

17

0,0093

0,0093

12

3

2

35

1

1

0,59442

4

Moroza Viktorija
(Daugavpils Sporta skola)

7

28

13

11

10

85

0,0201

0,0201

13

12

0

49

0,0114

0,0114

68

17

11

192

5,8333

5,8333

0,59057

5

Hudoleja Milāna
(LU / RVS)

5

19

8

11

8

61

0,0202

0,0202

8

8

0

25

0,0101

0,0101

14

3

2

45

3,8

3,8

0,57922

6

Hrapāne Terēza
(LU / RVS)

6

21

5

3

7

56

0,0137

0,0137

12

6

0

31

0,0137

0,0137

33

8

6

86

4,6395

4,6395

0,54731

7

Martinsone Loreta
(RSU/MSĢ)

7

24

12

10

4

82

0,0138

0,0138

5

9

0

23

0,0043

0,0043

74

16

11

181

6,232

6,232

0,48956

8

Rozīte Simona
(VK Jelgava)

1

4

2

1

0

12

0,0093

0,0093

2

3

0

11

0,0093

0,0093

3

0

0

6

2

2

0,47343

9

Cehanoviča Ilona
(Mārupes SC)

5

16

6

5

1

62

0,0105

0,0105

4

9

0

26

0,006

0,006

22

4

5

59

3,5254

3,5254

0,46611

10

Sola Līva
(Rīgas Volejbola skola/LU)

1

1

2

0

0

4

0,0154

0,0154

0

2

0

4

0

0

1

1

0

2

0

0

0,46325

11

Tralmaka Emīlija
(RSU)

7

25

11

6

1

104

0,011

0,011

3

12

0

50

0,0028

0,0028

25

5

3

64

6,6406

6,6406

0,45518

12

Kursīte Evelīna
(Daugavpils Sporta skola)

5

10

2

2

2

13

0,006

0,006

3

6

0

28

0,0045

0,0045

4

0

1

16

1,875

1,875

0,413

13

Kiverjaka Nora
(LU / RVS)

5

14

1

11

1

32

0,0026

0,0026

8

9

0

27

0,0103

0,0103

4

5

3

23

-2,4348

-2,4348

0,41252

14

Brūvere Keita Kintija
(VK Jūrmala / Jūrmalas SS)

7

13

7

12

1

33

0,0088

0,0088

1

1

0

6

0,0011

0,0011

5

5

1

21

-0,619

-0,619

0,41146

15

Kjakste Elza
(Mārupes SC)

6

20

1

3

0

53

0,0012

0,0012

7

12

0

38

0,0082

0,0082

19

6

1

50

4,8

4,8

0,40122

16

Mitiakina Simona
(Rīgas Volejbola skola/LU)

1

2

1

0

0

7

0,0077

0,0077

0

1

0

1

0

0

2

0

0

2

2

2

0,39969

17

Belouško Karlīna
(VK Jūrmala / Jūrmalas SS)

9

25

1

15

1

28

0,0017

0,0017

10

11

0

35

0,0087

0,0087

8

8

2

33

-1,5152

-1,5152

0,39702

18

Rozenbaha Ketlīna Melisa
(RSU)

2

4

1

2

0

9

0,0034

0,0034

1

0

0

2

0,0034

0,0034

2

0

0

4

2

2

0,3842

19

Juste Melisa
(VK Jūrmala / Jūrmalas SS)

6

11

1

9

1

26

0,0025

0,0025

0

8

0

20

0

0

2

4

2

13

-3,3846

-3,3846

0,34679

20

Brīvule Līva
(VK Jelgava)

1

1

0

1

0

4

0

0

0

1

0

4

0

0

2

1

0

6

0,1667

0,1667

0,33274

21

Ērgle-Bīmane Vita
(VK Jūrmala / Jūrmalas SS)

2

3

0

2

0

4

0

0

0

3

0

5

0

0

0

0

0

1

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

  • #NOME?

Attack

  • # point

  • / blocked

  • #NOME?

Block

  • # point

  • / Net touch

  • #NOME?

Filters applied

  • Minimum number of Matches played:  1