MEVZA League Women 2024/2025

MEVZA League Women 2024/2025

MEVZA League Women 2024/2025 Best players WING SPIKER
PlayerPlayedServeServeBlockBlockAttackAttackReceptionReceptionRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.#=/TotRc ind.Rc ind.Index

1

GRABIĆ Leonarda
(HAOK Mladost ZAGREB w (CRO))

1

3

1

3

0

15

0.0084

0.0084

2

0

0

2

0.0168

0.0168

11

3

0

19

1.2632

1.2632

3

1

0

12

0.5833

0.5833

0.20737

2

LANGEGGER Melissa
(GEN-I Volley NOVA GORICA (SLO))

2

6

1

1

1

22

0.0073

0.0073

3

3

0

6

0.011

0.011

22

2

1

45

2.5333

2.5333

9

4

1

34

0.3824

0.3824

0.19503

3

MAČEK Anja
(OK Calcit KAMNIK w (SLO))

1

3

1

0

1

12

0.0149

0.0149

0

1

0

1

0

0

13

0

0

25

1.56

1.56

3

1

3

24

0.125

0.125

0.1917

4

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

1

3

0

0

1

4

0.0072

0.0072

1

2

0

3

0.0072

0.0072

11

3

1

22

0.9545

0.9545

0

0

0

2

0.5

0.5

0.17911

5

GODEC Žana
(GEN-I Volley NOVA GORICA (SLO))

2

6

1

1

1

18

0.0073

0.0073

1

3

0

4

0.0037

0.0037

19

7

6

58

0.6207

0.6207

7

1

4

45

0.2444

0.2444

0.17157

6

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

1

3

0

0

0

7

0

0

2

1

0

3

0.0144

0.0144

7

1

2

19

0.6316

0.6316

2

1

0

19

0.4737

0.4737

0.17128

7

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

1

3

0

1

1

14

0.0072

0.0072

0

2

0

2

0

0

10

3

2

25

0.6

0.6

4

1

3

22

0.3182

0.3182

0.16397

8

BLAŽIČ Pia
(GEN-I Volley NOVA GORICA (SLO))

1

2

1

0

0

3

0.0075

0.0075

0

1

0

1

0

0

2

1

1

8

0

0

2

0

0

11

0.3636

0.3636

0.16274

9

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

1

2

0

0

1

6

0.0072

0.0072

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0.1611

10

BEČIĆ Mirna
(OK Marina KASTELA)

1

3

0

1

0

8

0

0

1

1

0

5

0.0084

0.0084

7

1

4

27

0.2222

0.2222

0

2

0

13

0.2308

0.2308

0.15751

11

PUCELJ Maša
(OK Calcit KAMNIK w (SLO))

1

3

0

1

0

10

0

0

1

1

0

2

0.0075

0.0075

11

2

3

35

0.5143

0.5143

1

1

1

20

0.4

0.4

0.15712

12

BOISA Naja
(OK Calcit KAMNIK w (SLO))

1

3

0

1

0

7

0

0

1

0

0

1

0.0075

0.0075

3

0

1

9

0.6667

0.6667

0

0

0

0

0

0

0.15675

13

FRANCETIĆ Lana
(OK Marina KASTELA)

1

2

0

0

0

1

0

0

0

1

0

1

0

0

3

1

1

8

0.25

0.25

1

2

0

15

0.1333

0.1333

0.14212

14

ZOKIĆ Marijeta
(OK Marina KASTELA)

1

2

0

2

0

6

0

0

0

0

0

0

0

0

2

0

1

9

0.2222

0.2222

1

2

0

16

0.125

0.125

0.14201

15

KORACA Andrea
(HAOK Mladost ZAGREB w (CRO))

1

1

0

1

0

2

0

0

0

0

0

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0.14105

16

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

1

1

0

1

0

2

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0.14105

17

PODBRŠČEK Hana
(GEN-I Volley NOVA GORICA (SLO))

1

1

0

0

0

4

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

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