MEVZA League Women 2023/2024

MEVZA League Women 2023/2024

MEVZA League Women 2023/2024 Best players OPPOSITE
PlayerPlayedServeServeBlockBlockAttackAttackRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.Index

1

MIHALJEVIĆ Andrea
(HAOK Mladost ZAGREB w (CRO))

1

3

3

1

2

16

0.0373

0.0373

0

1

0

1

0

0

12

4

3

28

0.5357

0.5357

0.66382

2

MLAKAR Iza
(Nova KBM Branik MARIBOR (SLO))

7

24

8

20

11

75

0.0183

0.0183

8

20

0

34

0.0077

0.0077

115

20

15

270

7.1111

7.1111

0.53383

3

STEPANENKO Margarita
(Swietelsky-BÉKÉSCSABA (HUN))

5

18

3

3

4

72

0.0088

0.0088

15

14

3

38

0.0189

0.0189

65

16

13

191

3.3927

3.3927

0.43933

4

BABIĆ Lucia
(OK Dinamo Zagreb (CRO))

4

11

5

5

1

31

0.0118

0.0118

1

11

0

22

0.002

0.002

34

10

13

114

1.0614

1.0614

0.43479

5

ZINGER Emily
(Oberbank Steelvolleys Linz Steg (AUT))

3

8

3

2

0

19

0.0077

0.0077

1

4

0

12

0.0026

0.0026

22

7

9

66

0.7273

0.7273

0.39575

6

SMOJVER Lorena
(OK Dinamo Zagreb (CRO))

1

2

0

1

1

5

0.0079

0.0079

0

0

0

0

0

0

0

2

0

16

-0.25

-0.25

0.39053

7

MEHLEM Fabienne
(Oberbank Steelvolleys Linz Steg (AUT))

3

8

2

2

0

9

0.0045

0.0045

1

1

0

3

0.0023

0.0023

7

4

1

16

1

1

0.36422

8

PERIĆ Antea
(OK Dinamo Zagreb (CRO))

2

4

1

0

0

5

0.0041

0.0041

2

4

0

6

0.0082

0.0082

3

2

8

25

-1.12

-1.12

0.36223

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