NVA 2023

NVA Men

NVA 2023 Best players MIDDLE BLOCKER
PlayerPlayedBlockBlockServeServeAttackAttackRanking
  MS#=/TotBl ind.Bl ind.#=/TotSv ind.Sv ind.#=/TotSp ind.Sp ind.Index

1

Petris Martin
(MATADORS)

1

3

3

0

0

3

0.0205

0.0205

0

0

1

7

0.0068

0.0068

4

0

0

7

1.7143

1.7143

0.47019

2

King Aaron
(EXPOSURE)

1

4

2

0

0

2

0.0112

0.0112

1

2

2

16

0.0169

0.0169

5

0

0

10

2

2

0.46512

3

Duarte Joshua
(WILD)

2

7

4

2

0

6

0.0127

0.0127

3

4

1

34

0.0127

0.0127

7

1

1

17

2.0588

2.0588

0.45328

4

Pasha Zakir
(UNTOUCHABLES)

1

3

3

0

0

3

0.0224

0.0224

0

2

0

7

0

0

3

0

0

8

1.125

1.125

0.44614

5

Donisthorpe Colin
(EXPOSURE)

2

7

5

0

1

6

0.0154

0.0154

2

3

0

24

0.0062

0.0062

8

1

0

16

3.0625

3.0625

0.43888

6

Costa Deivid
(EXPOSURE)

2

7

5

2

0

9

0.0154

0.0154

2

6

0

23

0.0062

0.0062

5

0

1

13

2.1538

2.1538

0.43736

7

Seifert Matthew
(FREEDOM)

2

10

7

1

0

8

0.016

0.016

0

3

2

39

0.0046

0.0046

11

2

0

23

3.913

3.913

0.4359

8

West Nick
(STUNNERS)

2

10

4

3

0

7

0.0093

0.0093

4

7

1

40

0.0116

0.0116

13

1

2

32

3.125

3.125

0.42957

9

Reynolds Nate
(FOUNDERS)

2

7

4

0

0

4

0.0129

0.0129

2

9

0

25

0.0065

0.0065

8

1

2

21

1.6667

1.6667

0.42347

10

Payne Langston
(FOUNDERS)

2

7

2

1

1

4

0.0065

0.0065

1

9

3

25

0.0129

0.0129

13

1

2

21

3.3333

3.3333

0.42011

11

Hoyte Mikheil
(STINGERS)

3

11

9

1

1

11

0.0154

0.0154

1

2

0

43

0.0017

0.0017

20

6

1

38

3.7632

3.7632

0.41795

12

Norris James
(MATADORS)

2

6

1

0

0

1

0.0035

0.0035

4

5

0

27

0.0141

0.0141

19

11

2

50

0.72

0.72

0.40426

13

Parish Ian
(RAMBLERS)

2

4

2

0

0

2

0.0063

0.0063

1

2

2

16

0.0095

0.0095

4

0

2

12

0.6667

0.6667

0.39824

14

Maleski Grant
(UNTOUCHABLES)

1

3

1

2

1

4

0.0075

0.0075

1

2

0

9

0.0075

0.0075

7

2

2

19

0.4737

0.4737

0.39469

15

Lopez Luis
(MATADORS)

2

6

2

0

0

2

0.007

0.007

1

7

1

27

0.007

0.007

11

4

3

27

0.8889

0.8889

0.39097

16

Marocchi Grant
(STUNNERS)

2

10

5

0

0

5

0.0114

0.0114

0

0

0

32

0

0

15

1

0

24

5.8333

5.8333

0.39005

17

Knigge Matthew
(WILD)

2

6

2

1

1

4

0.0059

0.0059

2

7

0

21

0.0059

0.0059

12

2

1

23

2.3478

2.3478

0.38146

18

Hiller Casey
(MATADORS)

1

4

2

0

0

2

0.0112

0.0112

0

1

0

16

0

0

0

0

0

1

0

0

0.37992

19

Grosh Joseph
(TYRANTS)

2

4

2

1

0

3

0.0075

0.0075

0

1

1

11

0.0037

0.0037

1

2

0

7

-0.5714

-0.5714

0.37559

20

Beamer Shayne
(STUNNERS)

3

11

4

1

2

7

0.0061

0.0061

0

4

2

32

0.0031

0.0031

16

3

3

27

4.0741

4.0741

0.37233

21

Fernandez Ivan
(PYTHONS)

3

12

4

1

2

7

0.0062

0.0062

1

4

1

33

0.0031

0.0031

17

3

3

38

3.4737

3.4737

0.3716

22

Burrell Thomas
(FREEDOM)

1

5

2

1

0

3

0.0091

0.0091

0

3

0

9

0

0

6

1

0

12

2.0833

2.0833

0.37125

23

Ofoha Uchenna
(WILD)

2

7

3

2

1

6

0.0075

0.0075

0

3

0

18

0

0

16

3

0

33

2.7576

2.7576

0.3633

24

Alomar Ismael
(PYTHONS)

3

15

4

2

1

7

0.0062

0.0062

0

6

0

37

0

0

21

3

3

38

5.9211

5.9211

0.36117

25

Marushige Skyler
(TYRANTS)

2

3

1

0

0

1

0.0037

0.0037

1

2

0

8

0.0037

0.0037

3

0

0

3

3

3

0.36047

26

Aguillard Antwain
(TYRANTS)

1

2

1

0

1

2

0.0075

0.0075

0

2

0

13

0

0

1

0

0

1

2

2

0.35927

27

Buffum Matthew
(FREEDOM)

2

7

3

0

1

4

0.0069

0.0069

0

1

0

17

0

0

6

2

1

19

1.1053

1.1053

0.35741

28

Blair Joshua
(UNTOUCHABLES)

1

3

0

3

1

4

0

0

1

2

0

12

0.0075

0.0075

5

0

0

9

1.6667

1.6667

0.35492

29

Olea Ricky
(MATADORS)

3

8

2

1

0

3

0.0043

0.0043

0

7

1

22

0.0022

0.0022

5

2

1

13

1.2308

1.2308

0.35366

30

Vaz Kevin
(RAMBLERS)

2

4

1

0

0

1

0.0032

0.0032

1

6

0

15

0.0032

0.0032

8

0

1

14

2

2

0.35307

31

Matheney Daniel
(BLAZE)

1

3

0

0

1

1

0

0

1

4

0

9

0.0075

0.0075

3

1

1

10

0.3

0.3

0.35305

32

Presho Kyler
(RAMBLERS)

2

5

1

0

0

1

0.0032

0.0032

1

3

0

14

0.0032

0.0032

2

0

1

7

0.7143

0.7143

0.35107

33

Mercedes Julio
(PYTHONS)

1

3

1

1

0

2

0.0047

0.0047

0

1

0

12

0

0

6

1

0

10

1.5

1.5

0.34647

34

Rohena Fabian
(STINGERS)

3

11

1

1

0

2

0.0017

0.0017

1

2

0

38

0.0017

0.0017

12

0

2

23

4.7826

4.7826

0.34291

35

Lewin Vecas
(TYRANTS)

2

4

1

0

1

2

0.0037

0.0037

0

1

0

14

0

0

6

1

1

12

1.3333

1.3333

0.34086

36

Morales Steven
(PYTHONS)

2

6

1

0

0

1

0.0023

0.0023

0

0

0

3

0

0

2

0

2

5

0

0

0.33109

37

Lourich Tim
(RAMBLERS)

2

2

0

0

0

0

0

0

0

0

0

6

0

0

1

0

0

1

2

2

0.31911

38

Egun Emmanuel
(BLAZE)

1

2

0

0

0

0

0

0

0

2

0

4

0

0

0

0

0

1

0

0

0.31911

39

Gear Kevin
(STUNNERS)

2

3

0

0

0

0

0

0

0

0

0

1

0

0

0

0

0

0

0

0

0.31911

40

Holmes Russell
(STINGERS)

1

1

0

0

0

0

0

0

0

0

0

0

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

  • = serve error

Attack

  • # point

  • / blocked

  • = error

Block

  • # point

  • / Net touch

  • = hand out

Filters applied

  • Minimum number of Matches played:  1