Elme Messer Women`s Baltic League 25/26

Elme Messer Women`s Baltic League 25/26

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

1

Tugedam Karmen
(Audentese SG)

2

7

10

4

2

38

0.0392

0.0392

3

2

0

7

0.0098

0.0098

24

9

6

76

0.8289

0.8289

0.72503

2

Lamp Triinu
(Rae Spordikool/VIASTON)

2

5

1

3

3

17

0.0166

0.0166

5

1

1

13

0.0207

0.0207

7

0

0

11

3.1818

3.1818

0.61495

3

Kiviloo Liis
(Rae Spordikool/VIASTON)

13

42

12

14

12

130

0.0119

0.0119

45

19

3

115

0.0223

0.0223

93

8

12

178

17.2247

17.2247

0.61024

4

Rakauskaite Barbora
(VMSM Sostinės tauras - VTC)

10

40

11

27

7

107

0.0108

0.0108

40

14

1

70

0.024

0.024

59

12

8

123

12.6829

12.6829

0.60317

5

Soodla Heleri
(Audentese SG)

12

45

20

27

8

149

0.0144

0.0144

29

29

5

100

0.015

0.015

28

11

3

84

7.5

7.5

0.56759

6

Urbāne Monta
(RSU)

8

26

4

2

8

70

0.0101

0.0101

23

14

3

67

0.0193

0.0193

47

7

2

89

11.1011

11.1011

0.5644

7

Galubaitė Roberta
(Kaunas-VDU)

14

40

16

10

5

135

0.0104

0.0104

22

10

1

56

0.0109

0.0109

61

5

7

127

15.4331

15.4331

0.52007

8

Bole Emanuela
(LAT U18 / RVS)

10

33

25

23

1

74

0.0176

0.0176

6

7

0

25

0.0041

0.0041

80

37

12

223

4.5874

4.5874

0.5189

9

Pill Liisbet
(TÜ/Bigbank)

10

32

12

12

4

85

0.0096

0.0096

22

9

3

55

0.0131

0.0131

33

8

2

75

9.8133

9.8133

0.51665

10

Roziņa Marta
(LAT U18 / RVS)

13

45

26

22

10

135

0.0191

0.0191

3

7

0

15

0.0016

0.0016

2

4

0

14

-6.4286

-6.4286

0.50696

11

Sola Līva
(Riga Volleyball School/LU)

11

46

9

17

4

135

0.0068

0.0068

27

28

3

103

0.0141

0.0141

21

6

2

51

11.7255

11.7255

0.50234

12

Stamm Kertu
(Audentese SG)

12

44

22

17

0

133

0.0114

0.0114

17

23

1

74

0.0088

0.0088

38

13

7

98

8.0816

8.0816

0.50062

13

Postnova Anastasija
(RSU)

2

8

3

4

2

32

0.0155

0.0155

2

8

1

19

0.0062

0.0062

0

2

2

11

-2.9091

-2.9091

0.49928

14

Allorg Kristel
(Rae Spordikool/VIASTON)

9

29

11

17

6

126

0.0115

0.0115

11

12

0

47

0.0075

0.0075

83

11

9

198

9.2273

9.2273

0.49571

15

Liepa Samanta
(Riga Volleyball School/LU)

12

46

20

21

5

129

0.0124

0.0124

16

24

2

64

0.008

0.008

25

7

1

41

19.0732

19.0732

0.48938

16

Kandimaa Lill
(TÜ/Bigbank)

13

43

15

11

8

141

0.0108

0.0108

15

20

1

64

0.0071

0.0071

22

10

2

61

7.0492

7.0492

0.48247

17

Tralmaka Emīlija
(RSU)

13

40

11

12

8

137

0.0098

0.0098

13

20

2

72

0.0067

0.0067

50

8

6

113

12.7434

12.7434

0.4817

18

Brūvere Keita Kintija
(LAT U18 / RVS)

13

45

16

25

6

109

0.0117

0.0117

14

18

1

52

0.0074

0.0074

10

1

0

25

16.2

16.2

0.4791

19

Skalbe Elza
(LAT U18 / RVS)

13

45

11

32

3

71

0.0074

0.0074

23

34

2

78

0.0122

0.0122

25

10

11

70

2.5714

2.5714

0.47764

20

Kačinaitė Neringa
(Kaunas-VDU)

14

31

9

11

7

101

0.0079

0.0079

18

12

1

55

0.0089

0.0089

44

4

11

88

10.2159

10.2159

0.47489

21

Juodkaite Lukrecija
(VMSM Sostinės tauras - VTC)

8

29

8

11

5

82

0.0095

0.0095

12

21

0

42

0.0088

0.0088

5

3

4

24

-2.4167

-2.4167

0.46918

22

Valionytė Vaiva
(Kaunas-VDU)

13

29

14

12

3

120

0.0092

0.0092

10

15

0

54

0.0054

0.0054

47

6

7

99

9.9596

9.9596

0.46303

23

Gedminaitė Saulė
(LTU U18)

14

37

8

8

3

118

0.0052

0.0052

18

14

2

49

0.0085

0.0085

32

2

6

64

13.875

13.875

0.45542

24

Dilytė Ugnė
(LTU U18)

15

47

11

31

9

130

0.0086

0.0086

12

14

1

36

0.0052

0.0052

47

17

9

121

8.157

8.157

0.45304

25

Česnavičiūtė Elija
(LTU U18)

10

32

8

7

5

78

0.0085

0.0085

10

6

0

25

0.0066

0.0066

19

5

8

65

2.9538

2.9538

0.45124

26

Maļina Anabella
(Riga Volleyball School/LU)

11

30

16

12

1

78

0.0093

0.0093

8

10

0

38

0.0044

0.0044

53

23

20

179

1.676

1.676

0.4409

27

Mitiakina Simona
(RSU)

8

18

4

2

1

65

0.0045

0.0045

8

10

1

39

0.0072

0.0072

16

5

2

31

5.2258

5.2258

0.42412

28

Ozolina Betija Beate
(Riga Volleyball School/LU)

5

13

3

7

2

32

0.0064

0.0064

2

7

0

11

0.0026

0.0026

5

1

0

8

6.5

6.5

0.40123

29

Põldma Liisa
(TÜ/Bigbank)

8

18

4

3

4

28

0.0064

0.0064

1

0

0

4

0.0008

0.0008

23

7

5

55

3.6

3.6

0.39703

30

Jefanov Maria Elizabeth
(Audentese SG)

5

13

1

3

1

32

0.0027

0.0027

3

3

0

13

0.0041

0.0041

5

1

5

26

-0.5

-0.5

0.37829

31

Čekauskaite Ana
(VMSM Sostinės tauras - VTC)

10

21

3

7

3

63

0.0036

0.0036

3

12

1

29

0.0018

0.0018

7

3

2

26

1.6154

1.6154

0.37612

32

Vaitulionytė Ela
(LTU U18)

5

7

1

6

0

12

0.0014

0.0014

3

1

0

7

0.0043

0.0043

2

1

1

5

0

0

0.36962

33

Bukovska Adriana
(LAT U18 / RVS)

12

31

5

22

0

62

0.0029

0.0029

3

9

1

24

0.0017

0.0017

43

26

19

152

-0.4079

-0.4079

0.36518

34

Arak Mari
(TÜ/Bigbank)

5

10

1

5

1

13

0.0024

0.0024

0

6

0

11

0

0

5

1

1

17

1.7647

1.7647

0.35495

35

Armale Alise
(LAT U18 / RVS)

10

23

2

9

1

23

0.0021

0.0021

0

2

0

7

0

0

26

14

3

97

2.134

2.134

0.35313

36

Dapkutė Atėnė
(LTU U18)

2

2

0

0

0

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0.33246

37

Valaitytė Ugnė
(LTU U18)

5

5

0

2

0

5

0

0

0

0

0

0

0

0

0

2

1

5

-3

-3

0.32734

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