Elme Messer Men`s Baltic League 25/26

Elme Messer Men`s Baltic League 25/26

Elme Messer Men`s Baltic League 25/26 Best players MIDDLE BLOCKER
PlayerPlayedBlockBlockServeServeAttackAttackRanking
  MS#=/TotBl ind.Bl ind.#=/TotSv ind.Sv ind.#=/TotSp ind.Sp ind.Index

1

Aru Marx
(BIGBANK Tartu)

4

13

12

15

2

35

0.0213

0.0213

5

10

3

49

0.0142

0.0142

22

0

0

29

9.8621

9.8621

0.52497

2

Treial Henri
(Barrus Võru VK)

21

82

57

62

2

216

0.0162

0.0162

7

29

11

245

0.0051

0.0051

115

6

18

209

35.7033

35.7033

0.49325

3

Naaber Mart
(BIGBANK Tartu)

17

60

41

58

0

163

0.0148

0.0148

8

16

10

194

0.0065

0.0065

76

6

4

141

28.0851

28.0851

0.47924

4

Formanickis Aleksejs
(Robežsardze / RSU)

22

86

44

69

2

188

0.0115

0.0115

7

39

13

235

0.0052

0.0052

111

10

13

184

41.1304

41.1304

0.4751

5

Svans Toms
(PÄRNU Võrkpalliklubi)

17

59

25

79

2

177

0.0086

0.0086

28

38

10

226

0.0131

0.0131

79

7

7

150

25.5667

25.5667

0.47068

6

Aganits Andri
(Selver x TalTech)

11

41

38

34

2

122

0.0207

0.0207

3

16

0

105

0.0016

0.0016

62

9

6

118

16.3305

16.3305

0.47016

7

Vinšteins Renārs
(Robežsardze / RSU)

19

73

43

61

7

192

0.0132

0.0132

9

33

9

262

0.0055

0.0055

87

17

7

187

24.5936

24.5936

0.45885

8

Wardlow Rico Taylor
(BIGBANK Tartu)

17

58

28

48

3

144

0.01

0.01

15

48

8

175

0.0082

0.0082

86

13

7

147

26.0408

26.0408

0.45531

9

Varblane Mihkel
(Selver x TalTech)

15

53

29

44

4

115

0.0113

0.0113

19

35

5

178

0.0093

0.0093

48

8

9

93

17.6667

17.6667

0.45469

10

Peterson Kristo-Joosep
(PÄRNU Võrkpalliklubi)

16

48

26

45

1

137

0.01

0.01

14

27

7

155

0.0081

0.0081

68

7

4

127

21.5433

21.5433

0.4474

11

Perillus Sten
(PÄRNU Võrkpalliklubi)

17

58

41

52

0

186

0.014

0.014

7

15

5

190

0.0041

0.0041

41

6

5

106

16.4151

16.4151

0.44294

12

Suchanekas Mykolas
(Elga-Grafaite S-Sportas Šiauliai)

7

26

16

15

0

44

0.0141

0.0141

4

6

1

93

0.0044

0.0044

39

4

4

68

11.8529

11.8529

0.4371

13

Rahuoja Mattias
(Barrus Võru VK)

18

66

25

34

0

102

0.0083

0.0083

9

27

9

252

0.006

0.006

36

3

4

72

26.5833

26.5833

0.43529

14

Marčenko Konstantīns
( Ezerzeme/DU)

18

66

18

41

1

99

0.0059

0.0059

15

32

3

208

0.0059

0.0059

76

6

7

133

31.2632

31.2632

0.42846

15

Luuken Hendrik
(Selver x TalTech)

15

48

17

23

2

62

0.0069

0.0069

16

23

5

156

0.0085

0.0085

31

5

2

63

18.2857

18.2857

0.42574

16

Blumbergs Vladislavs
(Jēkabpils Lūši)

14

50

17

65

1

118

0.0078

0.0078

11

47

4

162

0.0069

0.0069

69

8

8

137

19.3431

19.3431

0.42493

17

Adamovics Zigurds
(Jēkabpils Lūši)

12

44

27

63

0

133

0.0139

0.0139

0

5

1

96

0.0005

0.0005

52

5

16

106

12.8679

12.8679

0.41869

18

Rogal Tomas
(Elga-Grafaite S-Sportas Šiauliai)

3

12

6

5

1

26

0.0111

0.0111

3

10

0

40

0.0056

0.0056

14

1

1

26

5.5385

5.5385

0.41479

19

Vahter Mart
(Audentes/Solarstone)

16

48

21

34

0

99

0.01

0.01

6

26

3

125

0.0043

0.0043

46

9

8

106

13.1321

13.1321

0.41461

20

Žolnerovičs Devids
( Ezerzeme/DU)

17

57

23

25

1

79

0.008

0.008

5

24

6

148

0.0038

0.0038

58

14

6

120

18.05

18.05

0.40878

21

Üprus Joonah Marten
(Audentes/Solarstone)

12

33

14

20

0

60

0.0088

0.0088

6

6

2

97

0.0051

0.0051

29

6

5

67

8.8657

8.8657

0.40477

22

Pelēkais Kristaps
(Jēkabpils Lūši)

6

19

7

16

1

37

0.0082

0.0082

5

9

1

44

0.007

0.007

8

3

0

20

4.75

4.75

0.40388

23

Makarov Ilija
( Ezerzeme/DU)

3

11

4

0

0

4

0.0082

0.0082

2

10

0

32

0.0041

0.0041

16

2

0

23

6.6957

6.6957

0.39295

24

Kink Rauno
(BIGBANK Tartu)

12

30

1

25

0

49

0.0005

0.0005

4

18

8

89

0.0058

0.0058

16

3

1

33

10.9091

10.9091

0.36466

25

Dūdens Eduards
(Robežsardze / RSU)

6

18

3

10

0

32

0.0027

0.0027

3

5

1

54

0.0036

0.0036

21

3

0

34

9.5294

9.5294

0.3643

26

Antsi Aleks
(Audentes/Solarstone)

15

32

8

20

0

54

0.004

0.004

1

13

1

51

0.001

0.001

16

2

4

46

6.9565

6.9565

0.35572

27

Grigalaitis Simas
(Elga-Grafaite S-Sportas Šiauliai)

2

8

1

11

0

19

0.0028

0.0028

0

1

1

29

0.0028

0.0028

5

1

1

11

2.1818

2.1818

0.34972

28

Dimitrijevs Ņikita
( Ezerzeme/DU)

3

8

2

0

0

4

0.0036

0.0036

0

1

1

4

0.0018

0.0018

7

3

0

14

2.2857

2.2857

0.34163

29

Kabanen Kristjan
(Barrus Võru VK)

11

16

3

2

0

10

0.0016

0.0016

3

4

0

24

0.0016

0.0016

2

0

2

4

0

0

0.33476

30

Ločmelis Tomass
(Jēkabpils Lūši)

8

10

0

6

0

8

0

0

1

3

0

11

0.0008

0.0008

6

0

0

9

6.6667

6.6667

0.32277

31

Kalin Mihail
(Selver x TalTech)

3

4

0

2

1

5

0

0

0

3

0

6

0

0

3

0

0

6

2

2

0.32208

32

Babak Artem
(PÄRNU Võrkpalliklubi)

2

2

0

0

0

1

0

0

0

0

0

0

0

0

0

1

0

1

-2

-2

0.31911

33

Neuhaus Jesper
(Audentes/Solarstone)

1

2

0

0

0

0

0

0

0

0

0

2

0

0

0

1

0

1

-2

-2

0.31911

34

Rustkovs Ivans
( Ezerzeme/DU)

1

2

0

0

0

0

0

0

0

0

0

1

0

0

0

0

0

0

0

0

0.31911

35

Hääl Helger
(Selver x TalTech)

5

10

0

0

0

0

0

0

0

2

1

7

0.0012

0.0012

0

0

0

1

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