MEVZA League Women 2021/2022

Main phase (W)

MEVZA League Women 2021/2022 Best players WING SPIKER
PlayerPlayedServeServeBlockBlockAttackAttackReceptionReceptionRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.#=/TotRc ind.Rc ind.Index

1

LORBER FIJOK Lorena
(Nova KBM Branik MARIBOR (SLO))

10

37

23

17

10

167

0.0202

0.0202

12

7

9

35

0.0074

0.0074

130

27

24

328

8.9116

8.9116

37

13

6

199

0.3719

0.3719

0.26454

2

RADISKOVIĆ Andjelka
(OK Calcit KAMNIK (SLO))

9

33

17

25

14

149

0.0213

0.0213

6

1

1

20

0.0041

0.0041

86

20

7

270

7.2111

7.2111

50

10

8

146

0.4726

0.4726

0.25194

3

ŽERNOVIČ Mária
(Vasas Óbuda BUDAPEST (HUN))

8

25

9

11

8

91

0.0124

0.0124

6

8

0

20

0.0044

0.0044

56

9

17

142

5.2817

5.2817

30

5

7

107

0.486

0.486

0.20941

4

BOYKO Yuliya
(Vasas Óbuda BUDAPEST (HUN))

9

32

7

5

6

111

0.0088

0.0088

6

10

0

24

0.0041

0.0041

93

22

19

273

6.0952

6.0952

44

7

14

184

0.3804

0.3804

0.19918

5

TÖRÖK Kata
(Vasas Óbuda BUDAPEST (HUN))

7

22

7

5

3

60

0.0091

0.0091

4

5

0

15

0.0037

0.0037

58

11

6

154

5.8571

5.8571

18

5

5

77

0.2987

0.2987

0.19816

6

VUKIĆ Elena
(OK Marina KASTELA (CRO))

4

14

2

7

3

44

0.0071

0.0071

7

6

0

16

0.0099

0.0099

43

13

7

123

2.6179

2.6179

10

7

2

74

0.2432

0.2432

0.19165

7

POTOKAR Monika
(Nova KBM Branik MARIBOR (SLO))

6

22

1

3

2

75

0.003

0.003

7

8

3

18

0.0069

0.0069

56

9

11

179

4.4246

4.4246

26

8

10

160

0.2875

0.2875

0.17902

8

RAMIĆ Isa
(Nova KBM Branik MARIBOR (SLO))

6

14

5

5

3

33

0.008

0.008

2

3

1

6

0.002

0.002

17

5

1

52

2.9615

2.9615

0

0

1

8

-0.125

-0.125

0.17851

9

BOISA Naja
(OK Calcit KAMNIK (SLO))

5

13

4

3

1

39

0.0064

0.0064

3

5

1

18

0.0039

0.0039

25

4

9

80

1.95

1.95

16

9

9

114

0.1404

0.1404

0.17391

10

ŠALAMUN Naja
(Nova KBM Branik MARIBOR (SLO))

4

14

0

4

2

43

0.0032

0.0032

1

4

4

14

0.0016

0.0016

40

5

12

123

2.6179

2.6179

28

12

15

126

0.1508

0.1508

0.16214

11

TAKÁCS Doroti
(Vasas Óbuda BUDAPEST (HUN))

7

18

3

5

2

39

0.004

0.004

3

4

4

12

0.0024

0.0024

22

8

10

97

0.7423

0.7423

12

4

7

97

0.3196

0.3196

0.15962

12

ŠIFTAR Mija
(OK Calcit KAMNIK (SLO))

8

25

1

12

6

41

0.0053

0.0053

2

3

0

5

0.0015

0.0015

30

4

3

72

7.9861

7.9861

26

14

7

77

0.1948

0.1948

0.15897

13

JÁMBOR Cecília Noémi
(Vasas Óbuda BUDAPEST (HUN))

1

5

0

0

1

10

0.0047

0.0047

0

0

0

0

0

0

1

0

0

3

1.6667

1.6667

0

0

0

1

1

1

0.15395

14

JAVORNIK Živa
(OK Calcit KAMNIK (SLO))

5

10

0

5

1

16

0.0013

0.0013

1

0

0

1

0.0013

0.0013

3

2

2

17

-0.5882

-0.5882

8

3

4

45

0.4

0.4

0.14749

15

SKOČIĆ Anđela
(OK Marina KASTELA (CRO))

1

3

0

1

0

7

0

0

0

1

0

1

0

0

2

1

1

8

0

0

1

0

2

13

0.0769

0.0769

0.14121

16

HRGOVIĆ Marija
(OK Marina KASTELA (CRO))

1

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

2

0

2

-1

-1

0.14105

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