Credit24 Champions League 19/20

Credit24 Champions League

Credit24 Champions League 19/20 Best players MIDDLE BLOCKER
PlayerPlayedBlockBlockServeServeAttackAttackRanking
  MS#=/TotBl ind.Bl ind.#=/TotSv ind.Sv ind.#=/TotSp ind.Sp ind.Index

1

Graham Beau James
(SAAREMAA VK)

22

75

44

66

2

155

0.0129

0.0129

27

35

23

318

0.0146

0.0146

122

10

6

198

40.1515

40.1515

0.52858

2

Treial Henri
(SAAREMAA VK)

24

80

59

69

1

197

0.0157

0.0157

16

43

9

245

0.0067

0.0067

112

12

6

172

43.7209

43.7209

0.51185

3

Blumbergs Vladislavs
(SK Jēkabpils Lūši)

25

101

67

167

0

313

0.0148

0.0148

30

89

8

358

0.0084

0.0084

161

22

21

287

41.5261

41.5261

0.51163

4

Saaremaa Alex
(BIGBANK Tartu)

26

82

59

66

3

217

0.0146

0.0146

19

45

10

273

0.0072

0.0072

126

17

9

220

37.2727

37.2727

0.49698

5

Adamovics Zigurds
(SK Jēkabpils Lūši)

23

92

69

147

0

291

0.0167

0.0167

10

35

0

267

0.0024

0.0024

119

8

16

208

42.0192

42.0192

0.49372

6

Gvozdev Andrey
(PÄRNU VK)

20

70

49

77

3

219

0.015

0.015

11

25

10

242

0.0064

0.0064

133

15

13

230

31.9565

31.9565

0.48685

7

Soo Kevin
(BIGBANK Tartu)

26

91

51

57

1

189

0.0124

0.0124

17

29

6

285

0.0056

0.0056

125

15

12

208

42.875

42.875

0.48509

8

Nazarovs Antons
(RTU/Robežsardze)

23

89

62

43

1

176

0.0157

0.0157

16

34

2

315

0.0046

0.0046

100

21

14

197

29.3655

29.3655

0.47696

9

Ennemuist Siim
(PÄRNU VK)

1

5

5

14

0

27

0.023

0.023

1

2

0

9

0.0046

0.0046

5

1

2

11

0.9091

0.9091

0.47249

10

Kock Eder Levi
(PÄRNU VK)

21

70

45

90

1

197

0.013

0.013

23

32

6

287

0.0084

0.0084

92

17

15

176

23.8636

23.8636

0.47042

11

Varblane Mihkel
(SELVER Tallinn)

24

94

48

72

3

189

0.0116

0.0116

16

33

10

287

0.0063

0.0063

97

18

12

185

34.0432

34.0432

0.4687

12

Vanamõisa Jörgen
(TalTech)

25

86

58

92

5

221

0.0141

0.0141

10

31

2

269

0.0029

0.0029

111

13

12

220

33.6182

33.6182

0.46622

13

Tanila Mihkel
(BIGBANK Tartu)

11

35

24

35

0

85

0.0132

0.0132

15

28

2

111

0.0093

0.0093

37

6

1

62

16.9355

16.9355

0.46476

14

Zavorotnijs Andrejs
(RTU/Robežsardze)

22

83

41

38

1

136

0.0108

0.0108

11

26

1

258

0.0032

0.0032

97

14

4

156

42.0321

42.0321

0.46221

15

Sniedzans Aigars
(VK BIOLARS/Jelgava)

23

87

49

29

1

124

0.013

0.013

13

45

4

263

0.0045

0.0045

102

34

12

187

26.0535

26.0535

0.45498

16

Šimanskis Edgars
(OC Limbaži/MSĢ)

24

87

42

58

0

122

0.0112

0.0112

9

41

3

288

0.0032

0.0032

126

21

17

268

28.5672

28.5672

0.44201

17

Rannar Reimo
(SELVER Tallinn)

21

78

26

57

4

155

0.0072

0.0072

10

13

7

272

0.0047

0.0047

76

7

7

142

34.0563

34.0563

0.43519

18

Dzenis Jekabs
(OC Limbaži/MSĢ)

24

87

33

46

1

112

0.0088

0.0088

8

44

1

231

0.0024

0.0024

103

19

17

215

27.1116

27.1116

0.42166

19

Aru Marx
(SELVER Tallinn)

5

16

9

9

3

32

0.0108

0.0108

3

4

2

51

0.006

0.006

25

6

0

42

7.2381

7.2381

0.41799

20

Popman Joonas
(TalTech)

17

63

29

39

0

117

0.0101

0.0101

2

14

5

170

0.0024

0.0024

67

14

8

154

18.4091

18.4091

0.41516

21

Pool Mhait Martin
(PÄRNU VK)

12

39

23

29

0

81

0.0113

0.0113

3

24

4

138

0.0034

0.0034

22

6

6

53

7.3585

7.3585

0.4085

22

Rahuoja Mattias
(PÄRNU VK)

9

27

11

36

1

70

0.0072

0.0072

12

13

2

98

0.0092

0.0092

19

6

4

53

4.5849

4.5849

0.4084

23

Palmar Harri
(SAAREMAA VK)

15

35

18

20

0

62

0.0083

0.0083

6

21

3

142

0.0042

0.0042

39

8

4

73

12.9452

12.9452

0.40433

24

Slavēns Gatis
(VK BIOLARS/Jelgava)

20

73

26

26

0

95

0.008

0.008

5

37

5

187

0.0031

0.0031

54

10

18

126

15.0635

15.0635

0.40028

25

Perillus Sten
(TalTech)

16

39

16

25

1

75

0.0065

0.0065

1

16

2

82

0.0012

0.0012

30

4

3

71

12.6338

12.6338

0.37914

26

Kalde Ragnar
(TalTech)

17

40

16

16

1

46

0.0055

0.0055

4

10

1

86

0.0017

0.0017

39

8

5

79

13.1646

13.1646

0.37665

27

Hääl Helger
(SELVER Tallinn)

7

19

7

5

1

22

0.006

0.006

3

4

1

48

0.0034

0.0034

11

4

2

25

3.8

3.8

0.37283

28

Freimanis Gustavs
(SK Jēkabpils Lūši)

17

36

12

21

1

41

0.004

0.004

4

19

1

61

0.0017

0.0017

17

1

2

37

13.6216

13.6216

0.369

29

Aukmanis Peteris
(VK BIOLARS/Jelgava)

5

18

5

14

0

27

0.006

0.006

0

2

1

43

0.0012

0.0012

13

1

1

31

6.3871

6.3871

0.36665

30

Krebss Atis
(RTU/Robežsardze)

9

28

9

10

2

33

0.0057

0.0057

4

11

1

88

0.0032

0.0032

8

7

4

35

-2.4

-2.4

0.36031

31

Zurevskis Edgars
(OC Limbaži/MSĢ)

11

19

3

1

0

5

0.0016

0.0016

0

3

0

19

0

0

6

1

0

10

9.5

9.5

0.32763

32

Sils Kristers
(SK Jēkabpils Lūši)

3

5

0

0

0

1

0

0

0

1

0

6

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