MEVZA Supercup women 2024

MEVZA Supercup women 2024

MEVZA Supercup women 2024 Best players WING SPIKER
PlayerPlayedServeServeBlockBlockAttackAttackReceptionReceptionRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.#=/TotRc ind.Rc ind.Index

1

SILLAH Fatoumatta
(Vasas Óbuda BUDAPEST (HUN))

3

8

5

1

5

39

0.0236

0.0236

6

2

0

8

0.0142

0.0142

21

4

7

56

1.4286

1.4286

6

4

1

38

0.1579

0.1579

0.2593

2

KISS Lilla
(Vasas Óbuda BUDAPEST (HUN))

1

4

4

1

0

15

0.0234

0.0234

1

1

0

2

0.0058

0.0058

6

0

1

18

1.1111

1.1111

2

3

0

27

0.1111

0.1111

0.23448

3

GLEMBOCZKI Zóra
(Vasas Óbuda BUDAPEST (HUN))

3

9

4

1

2

33

0.0142

0.0142

2

4

0

6

0.0047

0.0047

23

3

4

55

2.6182

2.6182

14

3

0

50

0.42

0.42

0.20506

4

JULARIĆ Nika
(OK OTP Banka Branik MARIBOR (SLO))

3

10

3

7

1

35

0.0091

0.0091

5

2

0

7

0.0113

0.0113

18

4

7

63

1.1111

1.1111

11

3

5

61

0.377

0.377

0.19593

5

BEČIĆ Luna
(OK Dinamo Zagreb (CRO))

1

3

2

2

1

11

0.016

0.016

0

0

0

0

0

0

7

0

3

27

0.4444

0.4444

2

0

1

13

0.5385

0.5385

0.19176

6

SESAR Lana
(OK Dinamo Zagreb (CRO))

3

11

3

8

2

33

0.0102

0.0102

2

1

0

3

0.0041

0.0041

27

4

6

77

2.4286

2.4286

8

7

3

80

0.2

0.2

0.18854

7

TOROK Kata
(Vasas Óbuda BUDAPEST (HUN))

2

4

3

1

1

12

0.0132

0.0132

0

0

0

0

0

0

0

0

1

5

-0.8

-0.8

1

1

1

9

0.2222

0.2222

0.17942

8

MLINAR Maša
(OK Dinamo Zagreb (CRO))

3

11

3

3

0

32

0.0061

0.0061

1

3

0

4

0.002

0.002

24

2

10

75

1.76

1.76

8

10

2

73

0.137

0.137

0.16854

9

MOGG Valentina
(Ti-Volley Innsbruck (AUT))

3

7

2

1

1

12

0.0075

0.0075

1

1

0

2

0.0025

0.0025

4

1

3

17

0

0

2

1

4

30

-0.0667

-0.0667

0.16689

10

WALTER Martyna
(Ti-Volley Innsbruck (AUT))

3

7

2

0

0

9

0.005

0.005

2

1

0

3

0.005

0.005

7

4

4

32

-0.2187

-0.2187

0

0

0

1

0

0

0.16367

11

KUNIKOVÁ Kateřina
(Ti-Volley Innsbruck (AUT))

2

4

1

1

1

8

0.0075

0.0075

0

2

0

2

0

0

6

2

3

20

0.2

0.2

3

6

2

36

-0.1111

-0.1111

0.1626

12

DANILOVIĆ Sonja
(OK OTP Banka Branik MARIBOR (SLO))

3

10

1

2

0

21

0.0023

0.0023

0

0

0

0

0

0

20

5

6

66

1.3636

1.3636

18

11

1

77

0.2338

0.2338

0.15217

13

RAMIĆ Isa
(OK OTP Banka Branik MARIBOR (SLO))

3

8

0

1

0

5

0

0

2

0

0

2

0.0045

0.0045

6

7

0

20

-0.4

-0.4

1

0

2

8

-0.125

-0.125

0.14908

14

PAVAČIĆ Tea
(OK Dinamo Zagreb (CRO))

2

4

0

0

0

5

0

0

0

0

0

0

0

0

6

1

0

13

1.5385

1.5385

0

2

0

5

-0.4

-0.4

0.14598

15

KNEŽEVIČ Eva
(OK OTP Banka Branik MARIBOR (SLO))

2

4

0

0

0

1

0

0

0

1

0

1

0

0

2

1

0

5

0.8

0.8

2

0

0

5

0.4

0.4

0.14105

16

PUKL VERDEL Lira
(OK OTP Banka Branik MARIBOR (SLO))

1

1

0

0

0

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0.14105

17

SENEKOVIČ Pia
(OK OTP Banka Branik MARIBOR (SLO))

1

1

0

0

0

1

0

0

0

0

0

0

0

0

1

0

0

2

0.5

0.5

0

1

0

2

0

0

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