2022/2023 TOP SPORT Lietuvos Vyrų Tinklinio Čempionatas

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2022/2023 TOP SPORT Lietuvos Vyrų Tinklinio Čempionatas Best players MIDDLE BLOCKER
PlayerPlayedBlockBlockServeServeAttackAttackRanking
  MS#=/TotBl ind.Bl ind.#=/TotSv ind.Sv ind.#=/TotSp ind.Sp ind.Index

1

GRIGALAITIS Simas
(ŠIAULIŲ "Elga - Master Idea - SC Dubysa")

4

13

15

2

0

19

0.0236

0.0236

4

6

1

42

0.0079

0.0079

23

1

2

36

7.2222

7.2222

0.50269

2

ŽALTAUSKAS Edvinas
(GARGŽDŲ "Amber - Arlanga")

4

13

11

7

0

25

0.0182

0.0182

7

6

0

42

0.0116

0.0116

25

4

0

40

6.825

6.825

0.48887

3

NAVARSKAS Matas
(PANEVĖŽIO "Agrochemija - SC")

1

3

3

1

0

4

0.0227

0.0227

1

3

0

12

0.0076

0.0076

12

2

1

20

1.35

1.35

0.48616

4

ALEKNAVIČIUS Audrius
(ŠIAULIŲ "Elga - Master Idea - SC Dubysa")

2

7

8

5

0

16

0.0278

0.0278

0

3

0

25

0

0

8

0

0

14

4

4

0.48297

5

RAKICKAS Jonas
(MARIJAMPOLĖS "Sūduva")

5

19

18

11

0

36

0.0212

0.0212

0

7

1

55

0.0012

0.0012

34

5

2

68

7.5441

7.5441

0.45594

6

DANULEVIČIUS Nedas
(Alytaus Ultra)

3

10

9

2

0

12

0.0214

0.0214

1

8

0

27

0.0024

0.0024

31

9

5

72

2.3611

2.3611

0.45433

7

STARKUTIS Linas
(GARGŽDŲ "Amber - Arlanga")

4

13

12

10

0

33

0.0199

0.0199

1

6

0

45

0.0017

0.0017

26

0

1

40

8.125

8.125

0.45145

8

PAUKŠTĖ Vytautas
(VILNIAUS universitetas)

2

6

5

3

0

9

0.0194

0.0194

0

5

0

16

0

0

10

2

0

19

2.5263

2.5263

0.43083

9

BAGOČIUS Denas
(Gargždų „Amber 2“)

2

8

4

5

0

11

0.0109

0.0109

2

5

0

21

0.0054

0.0054

8

3

3

22

0.7273

0.7273

0.40512

10

BERŽINIS Rapolas
(Raseinių „Lūšis Volley“)

2

6

3

3

0

8

0.0108

0.0108

1

4

0

14

0.0036

0.0036

9

1

1

12

3.5

3.5

0.39987

11

ANDRIULIS Donatas
(KELMĖS "Kelmė")

4

12

7

3

0

10

0.0116

0.0116

1

0

0

33

0.0017

0.0017

10

0

2

16

6

6

0.39975

12

BLINSTRUBIS Martynas
(Alytaus Ultra)

3

10

4

2

0

8

0.0095

0.0095

1

2

1

43

0.0048

0.0048

6

2

4

26

0

0

0.39278

13

SIPAS Vidmantas
(Gargždų „Amber 2“)

1

3

0

1

0

1

0

0

2

0

0

12

0.0133

0.0133

3

0

1

8

0.75

0.75

0.38071

14

ČIŽAUSKAS Tomas
(Gargždų „Amber 2“)

3

11

5

4

0

15

0.0097

0.0097

0

2

0

36

0

0

12

4

1

26

2.9615

2.9615

0.37589

15

AURUŠKEVIČIUS Tadas
(VILNIAUS universitetas)

2

6

1

3

0

4

0.0039

0.0039

2

2

0

19

0.0078

0.0078

8

3

3

31

0.3871

0.3871

0.37566

16

GRUODIS Augustinas
(Raseinių „Lūšis Volley“)

3

9

2

5

0

8

0.005

0.005

2

1

0

33

0.005

0.005

10

1

1

18

4

4

0.37484

17

PAKALNIŠKIS Arnas
(GARGŽDŲ "Amber - Arlanga")

2

3

2

2

0

4

0.008

0.008

0

1

0

7

0

0

1

1

1

4

-0.75

-0.75

0.36074

18

GRINEVIČIUS Mantas
(KELMĖS "Kelmė")

5

16

0

1

0

1

0

0

5

16

0

46

0.0068

0.0068

17

1

4

35

5.4857

5.4857

0.35791

19

LEMBUTIS Mindaugas
(KELMĖS "Kelmė")

5

12

3

0

0

4

0.0041

0.0041

0

2

0

22

0

0

5

1

2

15

1.6

1.6

0.34311

20

MINCĖ Justas
(MARIJAMPOLĖS "Sūduva")

5

12

1

3

0

11

0.0012

0.0012

2

2

0

29

0.0024

0.0024

4

1

2

12

1

1

0.33719

21

ŽILINSKAS Jonas
(MARIJAMPOLĖS "Sūduva")

2

2

0

0

0

0

0

0

0

1

0

1

0

0

0

0

0

0

0

0

0.31911

22

MALYKHIN Arsenii
(Raseinių „Lūšis Volley“)

1

1

0

0

0

0

0

0

0

1

0

2

0

0

0

0

0

0

0

0

0.31911

23

NAVIKAS Haroldas
(PANEVĖŽIO "Agrochemija - SC")

1

3

0

0

0

0

0

0

0

0

0

7

0

0

2

1

2

7

-0.4286

-0.4286

0.31848

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

  • = serve error

Attack

  • # point

  • / blocked

  • = error

Block

  • # point

  • / Net touch

  • = hand out

Filters applied

  • Minimum number of Matches played:  1