Latvijas čempionāts sievietēm 2025/2026

Latvijas Čempionāts sievietēm 2025/2026

Latvijas čempionāts sievietēm 2025/2026 Best players MIDDLE BLOCKER
PlayerPlayedServeServeBlockBlockAttackAttackRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.Index

1

Oša Estere
(Murjāņu Sporta ģimnāzija)

2

6

7

3

2

30

0,0328

0,0328

1

1

0

2

0,0036

0,0036

12

6

7

49

-0,1224

-0,1224

0,63927

2

Juršāne-Piņķe Alise
(Jūrmalas volejbola klubs / Jūrmalas sporta skola)

2

6

0

3

0

7

0

0

10

2

2

19

0,0413

0,0413

9

3

1

23

1,3043

1,3043

0,59952

3

Urbāne Monta
(RSU)

7

25

8

2

3

72

0,0102

0,0102

20

16

2

63

0,0185

0,0185

53

8

3

99

10,6061

10,6061

0,55928

4

Liepa Samanta
(Rīgas Volejbola skola/LU)

9

31

13

20

7

112

0,0149

0,0149

12

13

4

44

0,0089

0,0089

21

2

4

43

10,814

10,814

0,53823

5

Sola Līva
(Rīgas Volejbola skola/LU)

9

27

4

4

3

61

0,0052

0,0052

27

19

3

73

0,0201

0,0201

17

5

0

45

7,2

7,2

0,51855

6

Franckeviča Jana
(Daugavpils Sporta skola)

4

12

3

4

1

35

0,0063

0,0063

9

4

0

22

0,0141

0,0141

14

3

1

34

3,5294

3,5294

0,48163

7

Šveiduka Elizabete
(Liepājas sporta spēļu skola)

2

7

1

4

2

20

0,0098

0,0098

3

3

0

12

0,0098

0,0098

4

3

1

11

0

0

0,47802

8

Cēpure Agate
(Murjāņu Sporta ģimnāzija)

2

6

1

2

3

22

0,0146

0,0146

0

2

0

2

0

0

4

4

0

20

0

0

0,45627

9

Kjakste Elza
(Mārupes SC)

6

15

6

5

1

61

0,0082

0,0082

5

14

1

41

0,0059

0,0059

10

2

1

26

4,0385

4,0385

0,44599

10

Cālīte Lita
(Liepājas sporta spēļu skola)

2

7

0

3

0

15

0

0

5

2

0

12

0,0163

0,0163

14

2

1

31

2,4839

2,4839

0,43863

11

Tralmaka Emīlija
(RSU)

9

23

8

10

2

96

0,0077

0,0077

6

23

6

59

0,0046

0,0046

26

9

2

68

5,0735

5,0735

0,43454

12

Mitiakina Simona
(RSU)

8

20

6

9

0

74

0,0052

0,0052

7

12

0

33

0,0061

0,0061

24

7

1

48

6,6667

6,6667

0,42569

13

Brūvere Keita Kintija
(Jūrmalas volejbola klubs / Jūrmalas sporta skola)

2

5

1

3

1

9

0,0083

0,0083

0

5

0

7

0

0

0

2

0

6

-1,6667

-1,6667

0,39781

14

Rozenbaha Ketlīna Melisa
(RSU 2)

1

3

1

2

0

10

0,0079

0,0079

0

2

0

2

0

0

1

1

0

3

0

0

0,39755

15

Rozīte Simona
(Mārupes SC)

6

11

0

0

3

24

0,0035

0,0035

4

4

0

12

0,0047

0,0047

8

2

2

19

2,3158

2,3158

0,39432

16

Belouško Karlīna
(Jūrmalas volejbola klubs / Jūrmalas sporta skola)

2

2

0

0

1

3

0,0041

0,0041

1

0

0

1

0,0041

0,0041

0

0

0

0

0

0

0,39166

17

Vītola Tīna
(Liepājas sporta spēļu skola)

2

6

0

3

2

9

0,0065

0,0065

0

0

0

0

0

0

0

0

0

0

0

0

0,38616

18

Ērgle-Bīmane Vita
(Jūrmalas volejbola klubs / Jūrmalas sporta skola)

1

2

0

2

0

2

0

0

1

1

0

3

0,0087

0,0087

2

5

1

12

-0,6667

-0,6667

0,38397

19

Preikše Karmena Emīlija
(Murjāņu Sporta ģimnāzija)

1

3

0

1

0

4

0

0

1

5

1

8

0,0074

0,0074

1

1

4

14

-0,8571

-0,8571

0,37527

20

Kursīte Evelīna
(Daugavpils Sporta skola)

3

9

1

1

0

21

0,002

0,002

2

1

0

10

0,004

0,004

3

0

2

13

0,6923

0,6923

0,37393

21

Ozoliņa Betija Beāte
(Rīgas Volejbola skola/LU)

3

3

0

2

0

10

0

0

1

3

0

4

0,0026

0,0026

0

1

0

3

-1

-1

0,34634

22

Brīvule Līva
(Mārupes SC)

2

3

0

0

0

2

0

0

0

0

0

1

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