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)

4

15

3

1

3

39

0,0094

0,0094

15

6

2

33

0,0235

0,0235

30

3

2

49

7,6531

7,6531

0,57933

4

Liepa Samanta
(Rīgas Volejbola skola/LU)

8

27

13

17

6

101

0,0164

0,0164

11

9

4

34

0,0095

0,0095

16

2

4

37

7,2973

7,2973

0,54892

5

Sola Līva
(Rīgas Volejbola skola/LU)

8

23

4

4

3

50

0,006

0,006

22

13

1

54

0,019

0,019

14

4

0

34

6,7647

6,7647

0,51812

6

Kjakste Elza
(Mārupes SC)

3

8

4

2

1

32

0,0122

0,0122

4

0

1

17

0,0098

0,0098

6

0

0

12

4

4

0,50719

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

Tralmaka Emīlija
(RSU)

6

18

8

6

1

80

0,0104

0,0104

5

14

5

41

0,0058

0,0058

19

7

2

53

3,3962

3,3962

0,46344

9

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

10

Mitiakina Simona
(RSU)

5

15

5

4

0

56

0,007

0,007

6

4

0

19

0,0084

0,0084

18

4

1

36

5,4167

5,4167

0,45481

11

Franckeviča Jana
(Daugavpils Sporta skola)

3

8

3

3

1

27

0,0089

0,0089

3

0

0

9

0,0067

0,0067

10

3

1

23

2,087

2,087

0,45302

12

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

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

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

16

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

17

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

18

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

19

Rozīte Simona
(Mārupes SC)

3

5

0

0

2

8

0,0049

0,0049

0

2

0

3

0

0

3

0

1

4

2,5

2,5

0,37231

20

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

21

Kursīte Evelīna
(Daugavpils Sporta skola)

2

5

0

0

0

7

0

0

0

0

0

1

0

0

1

0

2

5

-1

-1

0,33075

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