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 WING SPIKER
PlayerPlayedServeServeBlockBlockAttackAttackReceptionReceptionRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.#=/TotRc ind.Rc ind.Index

1

Palk Freia Liisa
(Audentese SG)

3

10

15

3

3

48

0.0345

0.0345

1

2

0

15

0.0019

0.0019

33

6

4

79

2.9114

2.9114

12

5

5

74

0.2838

0.2838

0.27957

2

Ankevica Agija
(RSU)

4

15

9

2

5

49

0.0225

0.0225

3

9

0

21

0.0048

0.0048

41

10

9

121

2.7273

2.7273

13

7

5

65

0.1692

0.1692

0.23615

3

Rahuoja Ragne
(Rae Spordikool/VIASTON)

2

5

4

3

3

19

0.0264

0.0264

1

2

0

4

0.0038

0.0038

6

5

3

26

-0.3846

-0.3846

2

2

0

9

0

0

0.23364

4

Maiste Laura Liisa
(TÜ/Bigbank)

3

10

6

2

1

33

0.0155

0.0155

6

8

0

24

0.0133

0.0133

12

1

3

20

4

4

0

1

0

1

-1

-1

0.21755

5

Lember Nora
(TÜ/Bigbank)

3

10

4

3

1

35

0.0111

0.0111

7

1

0

10

0.0155

0.0155

34

9

9

90

1.7778

1.7778

4

5

1

32

0.1562

0.1562

0.2149

6

Kruklite Renate Kate
(Riga Volleyball School/LU)

3

12

6

6

2

39

0.0152

0.0152

2

0

0

4

0.0038

0.0038

33

6

8

95

2.4

2.4

6

7

0

52

0.3269

0.3269

0.20511

7

Slivko Marta
(LTU U18)

4

16

5

6

4

54

0.0133

0.0133

4

3

1

10

0.0059

0.0059

29

8

7

86

2.6047

2.6047

14

17

8

80

0.0375

0.0375

0.20362

8

Cepurite Anna
(RSU)

4

13

7

7

2

38

0.0145

0.0145

1

4

0

10

0.0016

0.0016

31

7

6

77

3.039

3.039

9

14

1

61

0.1475

0.1475

0.19989

9

Lukas Keira Liina
(Audentese SG)

2

9

3

5

2

24

0.0129

0.0129

2

0

0

4

0.0052

0.0052

24

6

2

65

2.2154

2.2154

7

7

1

46

0.1739

0.1739

0.19927

10

Putene Rūta
(Riga Volleyball School/LU)

4

15

9

4

1

47

0.0144

0.0144

0

0

0

3

0

0

27

2

7

77

3.5065

3.5065

17

10

4

84

0.2738

0.2738

0.19838

11

Šidlauskaitė Miglė
(Kaunas-VDU)

5

15

5

9

2

62

0.0101

0.0101

3

3

1

14

0.0043

0.0043

32

7

7

107

2.5234

2.5234

11

10

3

91

0.2967

0.2967

0.18937

12

Rauluseviciute Vilune
(Kaunas-VDU)

5

14

4

2

0

39

0.0058

0.0058

5

3

0

12

0.0072

0.0072

25

13

5

89

1.1011

1.1011

13

9

6

66

0.2879

0.2879

0.17591

13

Račiņa Linda
(LAT U18 / RVS)

3

8

3

1

2

21

0.0122

0.0122

0

0

0

0

0

0

7

7

7

43

-1.3023

-1.3023

4

4

2

33

0.2121

0.2121

0.1719

14

Martinsone Loreta
(RSU)

4

12

3

3

2

22

0.008

0.008

1

5

1

10

0.0016

0.0016

26

9

8

82

1.3171

1.3171

3

3

1

25

0.36

0.36

0.1716

15

Makauskaitė Eglė
(Kaunas-VDU)

2

4

2

0

0

8

0.0081

0.0081

0

0

0

0

0

0

11

1

2

20

1.6

1.6

1

1

0

7

0.5714

0.5714

0.16967

16

Ivčenkaite Diana
(VMSM Sostinės tauras - VTC)

3

10

2

5

0

41

0.0045

0.0045

2

3

0

12

0.0045

0.0045

24

11

2

79

1.3924

1.3924

25

3

5

67

0.4925

0.4925

0.16799

17

Arak Anette
(Audentese SG)

3

8

2

2

0

15

0.0038

0.0038

0

2

0

5

0

0

16

2

3

36

2.4444

2.4444

11

1

2

31

0.5161

0.5161

0.16104

18

Radavičiute Rusne
(VMSM Sostinės tauras - VTC)

3

9

1

3

0

15

0.0022

0.0022

2

2

0

8

0.0045

0.0045

13

4

7

57

0.3158

0.3158

6

4

2

42

0.3571

0.3571

0.1572

19

Rēdliha Justīne
(LAT U18 / RVS)

2

7

1

5

0

11

0.0034

0.0034

0

0

0

0

0

0

12

7

0

31

1.129

1.129

2

13

0

43

0.0233

0.0233

0.15414

20

Ērgle Bīmane Vita
(LAT U18 / RVS)

2

5

0

2

0

8

0

0

2

0

0

3

0.0068

0.0068

2

0

0

5

2

2

0

0

0

0

0

0

0.15328

21

Kumpikaitė Goda
(LTU U18)

4

9

2

1

1

21

0.0044

0.0044

0

4

0

10

0

0

6

3

3

33

0

0

2

4

3

23

-0.1739

-0.1739

0.15316

22

Vitosytė Aurėja
(LTU U18)

4

13

1

5

1

14

0.003

0.003

2

2

0

5

0.003

0.003

11

8

5

53

-0.4906

-0.4906

1

9

4

42

-0.0952

-0.0952

0.1526

23

Kalendraite Rusne
(Kaunas-VDU)

2

4

0

2

1

4

0.0034

0.0034

0

0

0

0

0

0

3

0

1

8

1

1

1

1

0

4

0.25

0.25

0.15036

24

Huik Annabel
(TÜ/Bigbank)

2

7

0

1

0

15

0

0

0

3

0

5

0

0

8

5

3

30

0

0

1

1

2

21

0.1429

0.1429

0.14135

25

Veigelte Annija
(RSU)

3

3

0

0

0

1

0

0

0

2

0

3

0

0

3

0

1

7

0.8571

0.8571

1

0

1

3

0

0

0.14105

26

Järvelaid Mariete
(Audentese SG)

1

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

1

0

0

0

0

0

0

0

0

0.14105

27

Tretjakovaite Rusne
(VMSM Sostinės tauras - VTC)

1

2

0

1

0

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

1

0

0

1

1

1

0.14105

28

Tiškutė Karolina
(LTU U18)

2

4

0

0

0

6

0

0

0

0

0

0

0

0

2

0

0

7

1.1429

1.1429

4

3

0

10

0.2

0.2

0.14105

29

Kornejeva Marta
(LAT U18 / RVS)

2

6

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0.14105

30

Timofejeva Taisija
(LAT U18 / RVS)

3

5

0

3

0

3

0

0

0

0

0

0

0

0

3

0

0

8

1.875

1.875

0

1

0

1

-1

-1

0.14105

31

Kovala Anna
(RSU)

2

5

0

0

0

3

0

0

0

1

0

2

0

0

5

3

3

18

-0.2778

-0.2778

0

1

0

4

0

0

0.14018

32

Deduraite Meda
(VMSM Sostinės tauras - VTC)

3

9

0

5

0

16

0

0

0

0

0

1

0

0

8

6

5

41

-0.6585

-0.6585

5

5

3

38

0.2895

0.2895

0.13957

Ranking Calculation

Wing-spiker

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)

  • Reception Index (Rc ind.): positive receptions minus negative receptions divided the total receptions (ranking is available only if the player has made at least three receptions 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 Receptions per set:  3

  • Minimum number of Spikes per set:  3

Serve

  • # serve ace

  • / half point

  • = serve error

Reception

  • # perfect

  • / half point

  • = error

Attack

  • # point

  • / blocked

  • = error

Block

  • # point

  • / Net touch

  • = hand out

Filters applied

  • Minimum number of Matches played:  1