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)

3

10

6

8

3

36

0.0199

0.0199

5

2

0

14

0.0111

0.0111

17

8

3

62

0.9677

0.9677

0.52183

2

Zariņa Katrīna Laura
(Riga Volleyball School/LU)

3

12

3

5

5

35

0.0152

0.0152

3

1

0

5

0.0057

0.0057

1

0

0

5

2.4

2.4

0.46531

3

Suvi Ingris
(TÜ/Bigbank)

3

10

3

6

1

27

0.0088

0.0088

4

1

0

7

0.0088

0.0088

24

4

6

63

2.2222

2.2222

0.42161

4

Čelnova Anete
(Riga Volleyball School/LU)

4

16

3

7

3

27

0.0087

0.0087

3

5

0

12

0.0043

0.0043

41

15

5

102

3.2941

3.2941

0.4196

5

Paukštytė Martyna
(Kaunas-VDU)

5

16

4

7

1

61

0.0072

0.0072

4

6

0

17

0.0058

0.0058

58

12

8

134

4.5373

4.5373

0.41423

6

Vytulytė Eglė
(LTU U18)

4

16

3

2

3

31

0.0089

0.0089

2

2

1

8

0.003

0.003

26

10

4

103

1.8641

1.8641

0.4129

7

Jociūtė Nida
(LTU U18)

2

9

2

1

0

17

0.0053

0.0053

7

1

0

9

0.0186

0.0186

21

7

3

46

2.1522

2.1522

0.40086

8

Bartkute Vakare
(Kaunas-VDU)

5

10

5

5

0

15

0.0072

0.0072

2

1

0

3

0.0029

0.0029

11

3

1

25

2.8

2.8

0.3887

9

Kundelyte Juta
(VMSM Sostinės tauras - VTC)

3

7

3

6

0

18

0.0067

0.0067

3

1

0

7

0.0067

0.0067

9

9

2

33

-0.4242

-0.4242

0.38701

10

Kulikauskaite Ugne
(VMSM Sostinės tauras - VTC)

3

9

2

4

1

25

0.0067

0.0067

1

5

0

9

0.0022

0.0022

11

6

4

52

0.1731

0.1731

0.38453

11

Tugedam Karmen
(Audentese SG)

1

5

1

2

0

7

0.0047

0.0047

2

1

0

5

0.0093

0.0093

13

5

6

43

0.2326

0.2326

0.37456

12

Vahula Heidi
(Audentese SG)

3

7

0

1

1

8

0.0019

0.0019

1

4

0

7

0.0019

0.0019

8

5

1

30

0.4667

0.4667

0.34339

13

Krustkalne Katrina Paula
(Riga Volleyball School/LU)

4

14

1

1

1

10

0.0029

0.0029

3

2

0

6

0.0043

0.0043

14

7

5

58

0.4828

0.4828

0.32998

14

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

15

Ketlere Katrina
(RSU)

4

14

0

1

0

9

0

0

1

4

1

9

0.0016

0.0016

12

9

8

71

-0.9859

-0.9859

0.32046

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