LČ Nacionālā līga sievietēm 2025/2026

LČ Nacionālā Līga sievietēm 2025/2026

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

1

Vabiščeviča Diana
(Daugavpils Sporta skola)

4

12

12

3

9

62

0,0353

0,0353

13

4

0

17

0,0218

0,0218

23

2

2

27

8,4444

8,4444

0,7696

2

Franckeviča Jana
(Daugavpils Sporta skola)

6

20

7

6

14

63

0,0244

0,0244

12

6

0

22

0,0139

0,0139

29

15

1

50

5,2

5,2

0,64132

3

Kursīte Evelīna
(Daugavpils Sporta skola)

10

30

15

5

12

119

0,0182

0,0182

17

5

0

30

0,0114

0,0114

24

8

3

44

8,8636

8,8636

0,57995

4

Oša Estere
(Murjāņu Sporta ģimnāzija)

12

44

28

10

8

189

0,0189

0,0189

4

6

0

17

0,0021

0,0021

107

40

10

323

7,7647

7,7647

0,52348

5

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

9

27

13

12

7

82

0,0138

0,0138

15

14

2

42

0,0104

0,0104

20

9

5

61

2,6557

2,6557

0,52285

6

Cālīte Lita
(Liepājas sporta spēļu skola)

8

31

10

6

1

93

0,0083

0,0083

15

7

0

29

0,0114

0,0114

57

11

3

110

12,1182

12,1182

0,49865

7

Preikše Karmena Emīlija
(Murjāņu Sporta ģimnāzija)

12

44

12

27

5

146

0,0089

0,0089

23

19

0

65

0,0121

0,0121

42

17

8

113

6,6195

6,6195

0,49797

8

Šveiduka Elizabete
(Liepājas sporta spēļu skola)

8

30

6

12

1

66

0,0053

0,0053

18

3

0

26

0,0136

0,0136

27

6

1

56

10,7143

10,7143

0,48385

9

Kjakste Elza
(Mārupes SC)

6

20

2

7

6

69

0,0089

0,0089

7

5

0

27

0,0078

0,0078

28

3

1

55

8,7273

8,7273

0,47289

10

Rozenbaha Ketlīna Melisa
(RSU 2)

10

32

8

16

2

95

0,0062

0,0062

11

7

2

35

0,0069

0,0069

22

4

4

60

7,4667

7,4667

0,44135

11

Rozīte Simona
(Mārupes SC)

5

13

5

3

3

49

0,0108

0,0108

1

7

0

14

0,0013

0,0013

15

2

4

30

3,9

3,9

0,43878

12

Brīvule Līva
(Mārupes SC)

4

11

5

8

0

30

0,0083

0,0083

3

7

0

20

0,005

0,005

11

4

1

31

2,129

2,129

0,43708

13

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

9

34

3

10

2

74

0,0033

0,0033

15

12

0

36

0,0099

0,0099

34

9

6

97

6,6598

6,6598

0,4339

14

Bikava Rēzija
(RSU 2)

3

10

0

2

0

21

0

0

8

5

0

15

0,016

0,016

4

4

0

19

0

0

0,43172

15

Vītola Tīna
(Liepājas sporta spēļu skola)

7

22

8

10

2

47

0,0085

0,0085

3

0

0

3

0,0025

0,0025

1

2

0

8

-2,75

-2,75

0,41887

16

Belouško Karlīna
(Jūrmalas volejbola klubs / Jūrmalas sporta skola)

8

17

7

16

3

40

0,0076

0,0076

4

5

1

15

0,003

0,003

6

5

2

21

-0,8095

-0,8095

0,41281

17

Ivanova Katrīna Telma
(RSU 2)

1

5

1

4

0

19

0,0044

0,0044

0

2

0

5

0

0

1

1

0

7

0

0

0,36811

18

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

6

13

2

4

0

19

0,002

0,002

1

4

0

5

0,001

0,001

7

7

3

34

-1,1471

-1,1471

0,35305

19

Cēpure Agate
(Murjāņu Sporta ģimnāzija)

9

14

2

2

1

15

0,0022

0,0022

1

2

0

3

0,0007

0,0007

3

5

4

24

-3,5

-3,5

0,34816

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