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

Vytulytė Eglė
(LTU U18)

8

28

9

3

8

76

0.0136

0.0136

7

6

1

18

0.0056

0.0056

59

21

11

193

3.9171

3.9171

0.46992

2

Tammel Kairin
(TÜ/Bigbank)

8

28

12

20

5

93

0.0135

0.0135

8

4

1

27

0.0063

0.0063

54

19

11

181

3.7127

3.7127

0.46913

3

Suvi Ingris
(TÜ/Bigbank)

9

32

7

19

8

93

0.0105

0.0105

7

4

0

18

0.0049

0.0049

99

21

11

242

8.8595

8.8595

0.46526

4

Zariņa Katrīna Laura
(Riga Volleyball School/LU)

6

24

8

10

7

74

0.0136

0.0136

5

1

0

10

0.0045

0.0045

1

0

1

8

0

0

0.44897

5

Paukštytė Martyna
(Kaunas-VDU)

11

36

10

11

3

121

0.0082

0.0082

10

14

0

37

0.0063

0.0063

134

32

21

326

8.9448

8.9448

0.4454

6

Čelnova Anete
(Riga Volleyball School/LU)

8

31

7

14

4

67

0.0075

0.0075

10

15

0

37

0.0069

0.0069

70

26

11

195

5.2462

5.2462

0.42208

7

Kulikauskaite Ugne
(VMSM Sostinės tauras - VTC)

7

19

7

11

2

54

0.0083

0.0083

3

13

0

22

0.0028

0.0028

22

10

7

95

1

1

0.40278

8

Krustkalne Katrina Paula
(Riga Volleyball School/LU)

8

27

4

4

6

44

0.0069

0.0069

9

8

0

25

0.0062

0.0062

29

13

7

97

2.5052

2.5052

0.40154

9

Vahula Heidi
(Audentese SG)

11

27

6

5

2

50

0.0046

0.0046

1

5

0

11

0.0006

0.0006

45

12

8

121

5.5785

5.5785

0.3891

10

Tugedam Karmen
(Audentese SG)

9

33

8

22

0

66

0.0056

0.0056

13

9

0

36

0.009

0.009

63

36

18

210

1.4143

1.4143

0.38789

11

Jociūtė Nida
(LTU U18)

6

19

4

6

0

44

0.0042

0.0042

8

3

0

12

0.0084

0.0084

40

14

8

100

3.42

3.42

0.38458

12

Bartkute Vakare
(Kaunas-VDU)

11

23

7

10

0

38

0.0044

0.0044

2

1

1

4

0.0013

0.0013

24

6

2

51

7.2157

7.2157

0.36179

13

Kundelyte Juta
(VMSM Sostinės tauras - VTC)

5

12

3

11

0

30

0.0037

0.0037

3

4

0

15

0.0037

0.0037

17

11

4

48

0.5

0.5

0.36114

14

Mandel Karmen
(Audentese SG)

1

1

0

0

0

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0.32305

15

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

16

Ketlere Katrina
(RSU)

9

27

2

5

0

26

0.0015

0.0015

3

9

2

25

0.0022

0.0022

30

20

16

154

-1.0519

-1.0519

0.3208

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