LAT-LTU NL 2025/2026 men

LAT-LTU NL 2025/2026 men

LAT-LTU NL 2025/2026 men Best players MIDDLE BLOCKER
PlayerPlayedBlockBlockServeServeAttackAttackRanking
  MS#=/TotBl ind.Bl ind.#=/TotSv ind.Sv ind.#=/TotSp ind.Sp ind.Index

1

Catlakšs Leo
(Augšdaugava)

6

22

19

4

0

23

0,0189

0,0189

8

15

6

67

0,014

0,014

30

5

3

52

9,3077

9,3077

0,509

2

Suchanekas Mykolas
(Alytaus Ultra)

7

28

24

8

0

40

0,0188

0,0188

11

7

5

110

0,0126

0,0126

33

4

5

66

10,1818

10,1818

0,50288

3

Gulovs Artūrs
(VK Piejūra / MSĢ)

1

3

2

1

0

3

0,0143

0,0143

1

1

2

10

0,0214

0,0214

2

4

0

12

-0,5

-0,5

0,50182

4

Pakalniškis Arnas
(Amber Volley)

9

32

36

8

2

66

0,0244

0,0244

6

23

0

102

0,0041

0,0041

64

9

4

109

14,9725

14,9725

0,50175

5

Stebulis Klāvs
(Aizpute)

6

24

19

10

0

40

0,0179

0,0179

3

4

2

78

0,0047

0,0047

38

5

5

70

9,6

9,6

0,45753

6

Slavēns Gatis
(Līgatne)

5

20

13

8

0

25

0,0143

0,0143

6

13

3

90

0,0099

0,0099

37

10

5

73

6,0274

6,0274

0,45561

7

Grudulis Armands
(Vecumnieki)

10

40

28

7

0

41

0,016

0,016

8

20

0

158

0,0046

0,0046

60

10

7

122

14,0984

14,0984

0,45297

8

Pelēkais Kristaps
(VK Piejūra / MSĢ)

6

24

18

17

0

46

0,0165

0,0165

1

15

4

83

0,0046

0,0046

27

6

1

58

8,2759

8,2759

0,44609

9

Macius Liutauras
(Alytaus Ultra)

8

26

22

7

0

32

0,0157

0,0157

4

12

3

77

0,005

0,005

23

4

5

45

8,0889

8,0889

0,44296

10

Ločs Jānis
(VK Jelgava / JN)

2

8

8

0

2

13

0,0188

0,0188

1

4

0

28

0,0023

0,0023

12

4

0

22

2,9091

2,9091

0,43947

11

Miežetis Aistis
(Amber Volley)

9

31

20

3

1

43

0,0136

0,0136

5

10

0

98

0,0034

0,0034

42

3

2

65

17,6462

17,6462

0,4386

12

Samuilovs Aleksandrs
(Augšdaugava)

5

18

7

4

0

11

0,0085

0,0085

3

6

8

52

0,0133

0,0133

23

8

2

43

5,4419

5,4419

0,43714

13

Gleizups Gustavs Jānis
(VK Jelgava / JN)

11

44

26

8

3

51

0,0129

0,0129

3

14

5

149

0,004

0,004

77

16

9

153

14,9542

14,9542

0,43344

14

Kļaviņš Verners
(Vecumnieki)

9

35

16

2

0

24

0,0104

0,0104

6

24

0

98

0,0039

0,0039

39

8

1

74

14,1892

14,1892

0,41724

15

Smilga Toms
(RSU)

9

37

19

13

3

59

0,0118

0,0118

6

7

0

137

0,0037

0,0037

43

15

7

99

7,8485

7,8485

0,41342

16

Stūrītis Artūrs
(VK Piejūra / MSĢ)

6

24

12

19

0

42

0,011

0,011

2

15

3

81

0,0046

0,0046

8

3

0

27

4,4444

4,4444

0,40763

17

Upītis Artūrs
(Līgatne)

4

16

6

4

0

12

0,0082

0,0082

3

1

3

47

0,0082

0,0082

13

2

5

33

2,9091

2,9091

0,40687

18

Dimitrijevs Ņikita
(Augšdaugava)

1

2

0

0

1

1

0

0

1

2

1

6

0,0175

0,0175

7

0

1

8

1,5

1,5

0,40195

19

Šplīts Rūdolfs
(VK Jelgava / JN)

8

27

15

9

1

31

0,0103

0,0103

4

1

1

81

0,0034

0,0034

22

9

0

65

5,4

5,4

0,39942

20

Druskins Aleksis
(Aizpute)

6

24

4

6

3

16

0,0036

0,0036

7

8

3

83

0,0089

0,0089

18

4

1

26

12

12

0,39822

21

Abersons Gatis
(VK Ventspils)

6

26

10

0

3

16

0,0089

0,0089

1

11

0

78

0,0009

0,0009

47

4

4

80

12,675

12,675

0,39122

22

Ribalko Daniels
(VK Jelgava / JN)

3

9

4

2

0

9

0,0076

0,0076

2

6

0

20

0,0038

0,0038

7

3

1

20

1,35

1,35

0,37934

23

Dēdelis Kristers
(VK Jelgava / JN)

1

1

1

1

0

3

0,0055

0,0055

1

0

0

4

0,0055

0,0055

0

0

0

1

0

0

0,37384

24

Nātriņš Dāvis
(OSK Ostnieks)

5

16

6

5

0

17

0,0076

0,0076

1

1

0

47

0,0013

0,0013

7

4

2

33

0,4848

0,4848

0,36611

25

Gurtajus Martynas
(Alytaus Ultra)

1

1

1

0

0

1

0,0078

0,0078

0

0

0

4

0

0

1

0

0

1

1

1

0,36212

26

Grīnbergs Reinis
(VK Ventspils)

2

7

2

0

1

3

0,005

0,005

1

6

0

13

0,0025

0,0025

8

0

0

18

3,1111

3,1111

0,36152

27

Semjonovs Rūdolfs
(RSU)

7

21

6

10

1

24

0,0047

0,0047

2

11

0

57

0,0016

0,0016

20

4

4

39

6,4615

6,4615

0,36128

28

Sprincis Sandis
(Līgatne)

3

6

3

0

0

8

0,0054

0,0054

1

0

0

18

0,0018

0,0018

7

2

0

10

3

3

0,36093

29

Konošonoks Mārtiņš
(OSK Ostnieks)

6

22

5

3

0

13

0,0052

0,0052

2

7

0

57

0,0021

0,0021

23

8

9

59

2,2373

2,2373

0,35971

30

Zemturis Renārs
(Aizpute)

5

16

4

3

0

10

0,0045

0,0045

1

9

0

56

0,0011

0,0011

26

6

2

51

5,6471

5,6471

0,35686

31

Ugorenko Martins
(Augšdaugava)

1

3

0

0

0

0

0

0

1

1

0

11

0,0071

0,0071

2

1

1

8

0

0

0,35087

32

Visockis Gabriels
(RSU)

1

2

1

1

0

2

0,0046

0,0046

0

1

0

3

0

0

0

1

0

1

-2

-2

0,34357

33

Dragūns Andrejs
(Augšdaugava)

2

2

0

0

0

0

0

0

0

0

1

3

0,0028

0,0028

0

0

0

0

0

0

0,33149

34

Ofkants Roberts
(RSU)

4

4

0

0

1

1

0

0

1

0

0

4

0,0015

0,0015

0

0

0

0

0

0

0,3258

35

Jāvalds Askolds
(VK Ventspils)

1

2

0

0

0

0

0

0

0

1

0

4

0

0

1

0

1

3

0

0

0,31911

36

Kļaviņš Edgars
(Vecumnieki)

2

2

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0,31911

37

Rokjāns Kristers
(Augšdaugava)

1

1

0

0

0

0

0

0

0

0

0

1

0

0

0

0

0

0

0

0

0,31911

38

Žaltauskas Edvinas
(Amber Volley)

1

1

0

0

0

0

0

0

0

1

0

2

0

0

0

0

0

0

0

0

0,31911

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