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 OPPOSITE
PlayerPlayedServeServeBlockBlockAttackAttackRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.Index

1

Tammel Kairin
(TÜ/Bigbank)

19

70

25

46

13

232

0.012

0.012

19

34

1

83

0.006

0.006

151

42

31

426

12.8169

12.8169

0.50082

2

Suvi Ingris
(TÜ/Bigbank)

20

76

14

41

17

208

0.0093

0.0093

12

23

1

55

0.0036

0.0036

188

45

22

509

18.0668

18.0668

0.49883

3

Zariņa Katrīna Laura
(Riga Volleyball School/LU)

15

58

32

42

15

208

0.0184

0.0184

18

11

0

41

0.0071

0.0071

6

1

1

25

9.28

9.28

0.49809

4

Paukštytė Martyna
(Kaunas-VDU)

19

65

18

21

8

208

0.0091

0.0091

22

25

0

69

0.0077

0.0077

242

61

33

587

16.3884

16.3884

0.49388

5

Čelnova Anete
(Riga Volleyball School/LU)

19

69

25

25

14

190

0.0123

0.0123

18

33

1

78

0.0057

0.0057

154

64

28

426

10.0423

10.0423

0.48953

6

Allorg Kristel
(Rae Spordikool/VIASTON)

3

9

1

2

4

24

0.014

0.014

4

5

0

11

0.0112

0.0112

21

3

0

36

4.5

4.5

0.48413

7

Vytulytė Eglė
(LTU U18)

16

58

16

8

12

165

0.0113

0.0113

14

11

3

36

0.0056

0.0056

108

40

21

348

7.8333

7.8333

0.46823

8

Kundelyte Juta
(LTU U18)

14

44

18

32

1

106

0.0088

0.0088

7

20

0

42

0.0032

0.0032

100

56

22

276

3.5072

3.5072

0.42072

9

Vahula Heidi
(Audentese SG)

16

45

9

9

7

94

0.0065

0.0065

3

11

0

24

0.0012

0.0012

68

17

20

184

7.5815

7.5815

0.4167

10

Tugedam Karmen
(Audentese SG)

13

47

10

33

2

92

0.006

0.006

18

12

0

47

0.0089

0.0089

98

48

23

311

4.0804

4.0804

0.40443

11

Krustkalne Katrina Paula
(Riga Volleyball School/LU)

15

43

11

6

8

74

0.0077

0.0077

12

10

0

33

0.0048

0.0048

42

17

9

127

5.4173

5.4173

0.39502

12

Kulikauskaite Ugne
(VMSM Sostinės tauras - VTC)

15

37

12

15

3

89

0.0062

0.0062

7

19

1

37

0.0029

0.0029

40

14

12

164

3.1585

3.1585

0.39486

13

Jociūtė Nida
(LTU U18)

12

34

7

9

1

67

0.0041

0.0041

13

3

0

17

0.0066

0.0066

59

24

10

164

5.1829

5.1829

0.39005

14

Bartkute Vakare
(Kaunas-VDU)

18

41

14

17

3

67

0.0064

0.0064

3

3

1

10

0.0011

0.0011

44

12

10

114

7.9123

7.9123

0.37951

15

Mandel Karmen
(Audentese SG)

6

11

3

4

1

19

0.0049

0.0049

0

3

0

4

0

0

13

5

4

38

1.1579

1.1579

0.37061

16

Ketlere Katrina
(RSU)

18

48

3

14

2

61

0.0017

0.0017

7

17

4

54

0.0024

0.0024

57

30

27

260

0

0

0.34017

17

Rahuoja Ragne
(Rae Spordikool/VIASTON)

1

1

0

0

0

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0.32305

18

Petkutė Urtė
(LTU U18)

1

1

0

0

0

0

0

0

0

1

0

1

0

0

1

1

1

3

-0.3333

-0.3333

0.32158

Ranking Calculation

Opposite

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:  3

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