Elme Messer Women`s Baltic League 25/26

Elme Messer Women`s Baltic League 25/26

Libero

Elme Messer Women`s Baltic League 25/26 Best players LIBERO
PlayerPlayedReceptionRanking
  MatchesSets#=!/-+TotRc ind.Rc ind.Index

1

Kramena Kristine
(RSU)

10

39

48

5

29

4

47

60

193

0.513

0.513

0.30344

2

Rutkauskaite Rusne
(Kaunas-VDU)

19

62

49

19

14

7

61

79

229

0.4454

0.4454

0.30325

3

Jonaityte Emilija
(VMSM Sostinės tauras - VTC)

7

26

25

9

6

4

24

17

85

0.3412

0.3412

0.30296

4

Kliauz Daniele
(VMSM Sostinės tauras - VTC)

18

64

52

40

12

12

90

97

303

0.3201

0.3201

0.3029

5

Krumholce Alvīne
(RSU)

11

38

71

40

12

14

65

59

261

0.2912

0.2912

0.30281

6

Tatrik Lisandra
(Rae Spordikool/VIASTON)

15

49

68

20

37

20

56

41

242

0.2851

0.2851

0.3028

7

Gasiūnaitė Vaiva
(LTU U18)

18

64

54

36

26

23

95

92

326

0.2669

0.2669

0.30275

8

Kangro Kadri
(TÜ/Bigbank)

9

33

27

13

30

10

50

36

166

0.241

0.241

0.30267

9

Antson Laura
(Audentese SG)

13

41

29

21

35

24

85

56

250

0.16

0.16

0.30244

10

Miloslavska Eva Elizabete
(LAT U18 / RVS)

16

54

46

43

28

28

87

71

303

0.1518

0.1518

0.30242

11

Jurkevičiūtė Skaistė
(LTU U18)

3

4

1

1

2

1

12

4

21

0.1429

0.1429

0.30239

12

Tamm Liisa
(TÜ/Bigbank)

9

37

32

39

29

9

63

45

217

0.1336

0.1336

0.30237

13

Baratashvili Elene
(Rae Spordikool/VIASTON)

14

31

27

21

12

12

45

21

138

0.1087

0.1087

0.3023

14

Männilaan Brita
(Rae Spordikool/VIASTON)

1

1

1

1

2

1

3

2

10

0.1

0.1

0.30227

15

Koik Gertu
(Audentese SG)

15

40

40

46

22

18

82

36

244

0.0492

0.0492

0.30213

16

Putene Rūta
(Riga Volleyball School/LU)

15

59

32

42

53

25

90

47

289

0.0415

0.0415

0.30211

17

Põldma Liisa
(TÜ/Bigbank)

3

10

3

7

6

4

11

7

38

-0.0263

-0.0263

0.30191

Ranking Calculation

Libero

the ranking takes into account:

  • Reception Index (Rc ind.): positive receptions minus negative receptions divided the total receptions

The Skill is “weighted” multiplying the index with a specific coefficients per skill and per role and successively multiplied with another coefficient which determines the impact of the libero role on the game, in other words the importance of the role towards the win probability.

Filters applied

  • Minimum number of Matches played:  1

  • Minimum number of Receptions per set:  3

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