MEVZA League Men 2023/2024

MEVZA League Men 2023/2024

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

1

VISKUP Tobiáš
(TJ Spartak MYJAVA (SVK))

11

41

15

37

9

154

0.013

0.013

13

32

1

83

0.007

0.007

180

25

37

334

14.485

14.485

0.43083

2

McCONNEL Connor
(OK i-Vent MARIBOR)

10

38

22

34

5

166

0.0155

0.0155

7

29

3

53

0.004

0.004

115

18

18

240

12.5083

12.5083

0.41851

3

MANDILARIS Angelos
(SK Zadruga AICH/DOB (AUT))

11

30

11

16

7

108

0.0096

0.0096

8

21

0

45

0.0043

0.0043

86

16

15

186

8.871

8.871

0.36941

4

CVANCIGER Gabrijel
(HAOK Mladost ZAGREB m (CRO))

9

34

4

37

5

117

0.0058

0.0058

13

13

0

41

0.0084

0.0084

132

39

24

316

7.4241

7.4241

0.36467

5

KRASSNIG Noel Simon Jakob
(SK Zadruga AICH/DOB (AUT))

9

31

8

15

6

75

0.009

0.009

8

10

1

28

0.0051

0.0051

62

19

12

129

7.4496

7.4496

0.36398

6

VUKOVIĆ Danilo
(MOK Mursa Osijek (CRO))

9

31

8

22

4

91

0.0079

0.0079

7

12

0

33

0.0046

0.0046

85

15

25

208

6.7067

6.7067

0.3524

7

JACKMAN Samuel
(VCA AMSTETTEN NÖ (AUT))

4

11

3

9

3

36

0.011

0.011

3

4

0

14

0.0055

0.0055

40

16

7

97

1.9278

1.9278

0.35216

8

MLYNARČÍK Peter
(Rieker UJS KOMÁRNO (SVK))

6

22

3

9

2

74

0.0049

0.0049

5

22

2

51

0.0049

0.0049

117

14

15

210

9.219

9.219

0.34889

9

SKOROKHOD Artem
(VCA AMSTETTEN NÖ (AUT))

2

8

2

7

0

31

0.0055

0.0055

3

2

1

13

0.0083

0.0083

27

7

11

64

1.125

1.125

0.33404

10

DULCHEV Dimitar Petkov
(OK Calcit KAMNIK m (SLO))

6

17

2

8

3

47

0.0046

0.0046

5

4

0

12

0.0046

0.0046

52

8

7

103

6.1068

6.1068

0.33121

11

SZÁZVAI Ádam
(Rieker UJS KOMÁRNO (SVK))

6

17

7

12

3

37

0.0093

0.0093

2

3

1

18

0.0019

0.0019

33

8

9

77

3.5325

3.5325

0.33097

12

FAZEKAS Balázs Ferenc
(MAV Elore-Foxconn (HUN))

5

12

4

8

2

35

0.0074

0.0074

3

7

1

12

0.0037

0.0037

32

7

7

71

3.0423

3.0423

0.32854

13

JURIĆ Petar
(OK Ribola KAŠTELA (CRO))

9

23

5

11

1

72

0.0044

0.0044

9

4

0

23

0.0065

0.0065

56

17

21

150

2.76

2.76

0.32569

14

MITRAŠINOVIĆ Tomislav
(OK Calcit KAMNIK m (SLO))

9

24

7

19

2

75

0.0059

0.0059

6

15

0

36

0.0039

0.0039

52

18

15

123

3.7073

3.7073

0.3241

15

ADŽOVIĆ Sani
(OK i-Vent MARIBOR)

8

14

6

10

0

36

0.0043

0.0043

5

2

0

7

0.0035

0.0035

29

4

3

53

5.8113

5.8113

0.32308

16

PESTI Marcell
(MAV Elore-Foxconn (HUN))

6

17

1

12

3

53

0.004

0.004

5

10

0

27

0.005

0.005

56

16

13

126

3.6429

3.6429

0.31961

17

ECKER Clemens
(HAOK Mladost ZAGREB m (CRO))

8

21

1

23

3

50

0.0029

0.0029

6

10

0

23

0.0044

0.0044

57

12

15

125

5.04

5.04

0.31737

18

VERASTO Tibor
(MOK Mursa Osijek (CRO))

9

19

4

6

1

39

0.0033

0.0033

4

4

0

12

0.0026

0.0026

33

8

10

69

4.1304

4.1304

0.30649

19

CVIJOVIĆ Duje
(OK Ribola KAŠTELA (CRO))

9

23

5

15

0

53

0.0036

0.0036

2

11

1

17

0.0015

0.0015

43

21

13

116

1.7845

1.7845

0.29235

20

CIKOJEVIĆ Ivan
(OK Ribola KAŠTELA (CRO))

2

8

1

3

0

32

0.0027

0.0027

1

3

0

6

0.0027

0.0027

6

2

1

13

1.8462

1.8462

0.28613

21

SEBESTYÉN Márton
(MAV Elore-Foxconn (HUN))

3

3

1

1

0

6

0.0023

0.0023

0

0

0

0

0

0

1

0

0

1

3

3

0.2717

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