2021/2022 TOP SPORT Lietuvos Vyrų Tinklinio Čempionatas

Competition

2021/2022 TOP SPORT Lietuvos Vyrų Tinklinio Čempionatas Best players OPPOSITE
PlayerPlayedServeServeBlockBlockAttackAttackRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.Index

1

PETRAVIČIUS Linas
(MARIJAMPOLĖS "Sūduva")

16

53

30

20

3

227

0.014

0.014

20

14

0

40

0.0085

0.0085

217

35

20

411

20.8905

20.8905

0.47744

2

MAKARAS Erikas
(ŠIAULIŲ "Elga - Master Idea - SC Dubysa")

19

70

34

45

5

287

0.0126

0.0126

12

9

1

25

0.0039

0.0039

255

83

26

546

18.7179

18.7179

0.43094

3

BOGDANOVIČ Jaroslav
(KAUNO "RIO - Startas")

15

58

14

26

1

199

0.0059

0.0059

21

16

0

41

0.0082

0.0082

278

64

42

598

16.6823

16.6823

0.40722

4

KOLODAVIČIUS Martynas
(ŠIAULIŲ "Elga - Master Idea - SC Dubysa")

19

68

12

29

5

216

0.0055

0.0055

22

7

0

34

0.0071

0.0071

141

31

24

390

14.9949

14.9949

0.39102

5

GALDIKAS Laurynas
(VILNIAUS universitetas)

10

36

11

30

0

128

0.0069

0.0069

11

11

0

28

0.0069

0.0069

101

28

18

236

8.3898

8.3898

0.36677

6

MILIUKAS Martynas
(Palangos "Vakarų Tinklinis")

1

5

4

3

0

18

0.019

0.019

0

0

0

0

0

0

15

9

0

49

0.6122

0.6122

0.35954

7

GUNTARSKIS Gediminas
(KELMĖS "Kelmė")

6

23

8

14

0

91

0.0079

0.0079

1

2

0

5

0.001

0.001

69

18

10

159

5.9308

5.9308

0.32913

8

NARUŠEVIČIUS Domantas
(VILNIAUS universitetas)

3

12

2

4

0

43

0.0038

0.0038

5

9

0

17

0.0096

0.0096

15

3

0

22

6.5455

6.5455

0.32686

9

KIŠMACHOV Daniel
(VILNIAUS universitetas)

5

16

4

11

0

38

0.0051

0.0051

4

1

0

8

0.0051

0.0051

33

7

6

87

3.6782

3.6782

0.32658

10

CHMIROV Andrii
(GARGŽDŲ "Amber - Arlanga")

4

9

3

1

2

31

0.0086

0.0086

0

1

0

3

0

0

21

4

2

40

3.375

3.375

0.31692

11

LAURINAVIČIUS Justinas
(Kauno "Marito")

1

5

0

2

1

19

0.005

0.005

1

1

0

2

0.005

0.005

18

5

0

36

1.8056

1.8056

0.31681

12

RUBAVIČIUS Vilius
(GARGŽDŲ "Amber - Arlanga")

2

5

3

2

0

14

0.0091

0.0091

0

1

0

1

0

0

7

0

0

20

1.75

1.75

0.31265

13

SUCHODOLSKIS Zigfridas
(KAUNO "RIO - Startas")

11

31

9

13

1

53

0.0051

0.0051

4

4

0

8

0.0021

0.0021

20

10

8

58

1.069

1.069

0.29546

14

NAUČIUS Algirdas
(MARIJAMPOLĖS "Sūduva")

14

29

5

16

0

46

0.0024

0.0024

5

9

0

18

0.0024

0.0024

21

17

7

76

-1.1447

-1.1447

0.28405

15

ŠLAUSTAS Ignas
(VILNIAUS universitetas)

13

26

1

3

1

50

0.001

0.001

7

14

0

29

0.0034

0.0034

21

5

5

53

5.3962

5.3962

0.28148

16

ŽELVYS Augustas
(Kauno "RIO - Startas-2")

2

6

1

0

0

19

0.004

0.004

0

1

0

1

0

0

13

9

3

49

0.1224

0.1224

0.28059

17

PETRAUSKAS Matas
(ŠIAULIŲ "Elga - Master Idea - SC Dubysa")

2

7

0

2

0

25

0

0

0

4

0

5

0

0

4

0

0

9

3.1111

3.1111

0.2612

18

ALAUNIS Marius
(KAUNO "RIO - Startas")

1

3

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0.2612

19

ŽELVYS Augustinas
(KAUNO "RIO - Startas")

2

3

0

0

0

0

0

0

0

0

0

0

0

0

1

0

0

2

1.5

1.5

0.2612

Ranking Calculation

Opposite

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:  3

Serve

  • # serve ace

  • / half point

  • = serve error

Attack

  • # point

  • / blocked

  • = error

Block

  • # point

  • / Net touch

  • = hand out

Filters applied

  • Minimum number of Matches played:  1