CRONIMET Baltic Men`s Volleyball League 24/25

CRONIMET Baltic Men`s Volleyball League 24/25

CRONIMET Baltic Men`s Volleyball League 24/25 Best players MIDDLE BLOCKER
PlayerPlayedBlockBlockServeServeAttackAttackRanking
  MS#=/TotBl ind.Bl ind.#=/TotSv ind.Sv ind.#=/TotSp ind.Sp ind.Index

1

Treial Henri
(Barrus Võru VK)

12

46

40

38

1

106

0.0196

0.0196

3

20

6

131

0.0044

0.0044

72

4

10

128

20.8437

20.8437

0.48524

2

Nazarovs Antons
( Ezerzeme/DU)

10

38

25

57

0

131

0.0153

0.0153

2

8

9

106

0.0067

0.0067

57

3

4

97

19.5876

19.5876

0.46891

3

Svans Toms
(PÄRNU Võrkpalliklubi)

12

47

22

60

0

171

0.0104

0.0104

11

39

10

174

0.0099

0.0099

106

9

13

192

20.5625

20.5625

0.45724

4

Rahuoja Mattias
(Barrus Võru VK)

12

47

17

29

0

80

0.0083

0.0083

12

21

12

202

0.0118

0.0118

34

4

4

62

19.7097

19.7097

0.45287

5

Parish Ian
(Selver x TalTech)

4

13

9

18

1

40

0.0142

0.0142

3

16

2

38

0.0079

0.0079

12

1

2

38

3.0789

3.0789

0.43988

6

Adamovics Zigurds
(SK Jēkabpils Lūši)

7

30

21

35

0

74

0.0168

0.0168

2

6

0

73

0.0016

0.0016

32

1

5

66

11.8182

11.8182

0.43929

7

Aganits Andri
(Selver x TalTech)

11

40

26

49

1

138

0.0144

0.0144

3

12

2

129

0.0028

0.0028

62

14

7

126

13.0159

13.0159

0.43309

8

Vanamõisa Jörgen
(PÄRNU Võrkpalliklubi)

12

41

24

45

0

114

0.0113

0.0113

4

15

6

147

0.0047

0.0047

57

8

6

111

15.8829

15.8829

0.42932

9

Naaber Mart
(BIGBANK Tartu)

7

26

15

22

0

63

0.0129

0.0129

1

10

2

85

0.0026

0.0026

38

3

3

61

13.6393

13.6393

0.42428

10

Formanickis Aleksejs
(Robežsardze / Riga)

10

31

19

20

0

65

0.0116

0.0116

6

28

2

81

0.0049

0.0049

30

5

5

56

11.0714

11.0714

0.42365

11

Wardlow Rico Taylor
(BIGBANK Tartu)

10

39

13

35

1

101

0.0076

0.0076

5

23

7

121

0.007

0.007

64

10

5

109

17.5321

17.5321

0.42164

12

SELIVANOVS MARATS
(SK Jēkabpils Lūši)

8

32

15

35

0

88

0.0107

0.0107

6

11

1

115

0.005

0.005

33

8

2

64

11.5

11.5

0.41979

13

Klopovs Olegs
(Robežsardze / Riga)

6

22

9

14

0

37

0.0093

0.0093

4

8

3

73

0.0072

0.0072

17

5

2

39

5.641

5.641

0.4124

14

Vinšteins Renārs
(Robežsardze / Riga)

8

25

6

11

0

45

0.0047

0.0047

2

9

1

64

0.0024

0.0024

18

5

1

37

8.1081

8.1081

0.3676

15

Soo Kevin
(BIGBANK Tartu)

4

15

4

19

0

42

0.0054

0.0054

0

10

1

49

0.0014

0.0014

18

5

0

28

6.9643

6.9643

0.36497

16

Peterson Kristo-Joosep
(PÄRNU Võrkpalliklubi)

7

21

5

25

0

40

0.0039

0.0039

2

18

0

50

0.0016

0.0016

24

1

0

46

10.5

10.5

0.36341

17

Luuken Hendrik
(Selver x TalTech)

8

22

5

29

1

51

0.0039

0.0039

3

6

2

65

0.0039

0.0039

6

4

1

23

0.9565

0.9565

0.35908

18

Kink Rauno
(BIGBANK Tartu)

1

2

0

2

0

2

0

0

1

1

0

7

0.0054

0.0054

1

2

0

4

-0.5

-0.5

0.34237

19

Dimitrijevs Ņikita
( Ezerzeme/DU)

6

11

1

10

0

17

0.0011

0.0011

0

3

1

17

0.0011

0.0011

3

1

1

14

0.7857

0.7857

0.33049

20

Lankei Oliver
(Barrus Võru VK)

4

4

0

0

0

0

0

0

0

1

1

6

0.0014

0.0014

0

0

0

2

0

0

0.32524

21

Mironovs Daņila
( Ezerzeme/DU)

9

19

1

6

0

11

0.0007

0.0007

0

2

0

20

0

0

5

2

3

17

0

0

0.32273

22

Veips Rainers
(SK Jēkabpils Lūši)

1

2

0

1

0

2

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