Middle European Cup Men 2018/19

MEL Men Main Phase

Middle European Cup Men 2018/19 Best players WING SPIKER
PlayerPlayedBlockBlockServeServeAttackAttackReceptionReceptionRanking
  MS#=/TotBl ind.Bl ind.#=/TotSv ind.Sv ind.#=/TotSp ind.Sp ind.#=/TotRc ind.Rc ind.Index

1

NEMETH Szabolcs
(Kazincbarcika)

4

17

8

9

0

20

0.0103

0.0103

8

17

5

79

0.0168

0.0168

61

11

10

116

5.8621

5.8621

27

8

6

140

0.2786

0.2786

0.34187

2

KÖK Matej
(Aich/Dob)

4

16

1

10

0

13

0.0014

0.0014

15

19

3

78

0.0251

0.0251

59

10

12

103

5.7476

5.7476

35

8

3

113

0.3009

0.3009

0.32293

3

LANDFAHRER Maximilian
(Aich/Dob)

4

16

6

4

0

17

0.0084

0.0084

8

12

0

57

0.0111

0.0111

67

6

9

97

8.5773

8.5773

34

6

6

103

0.2913

0.2913

0.31199

4

POLUIAN Tymofii
(Ljubljana)

1

5

3

4

0

7

0.0133

0.0133

1

4

0

9

0.0044

0.0044

16

1

4

33

1.6667

1.6667

5

1

0

20

0.2

0.2

0.28831

5

MARELIĆ Marino
(Ml.Zagreb)

3

11

4

2

0

6

0.0076

0.0076

3

11

3

49

0.0115

0.0115

23

6

8

61

1.623

1.623

21

6

5

82

0.2927

0.2927

0.28559

6

BOFF Rudinei
(Waldviertel)

4

14

2

5

1

13

0.0028

0.0028

5

8

4

45

0.0124

0.0124

27

10

4

77

2.3636

2.3636

10

4

3

80

0.3375

0.3375

0.2641

7

BLÁZSOVICS Péter
(Kazincbarcika)

4

14

4

4

0

8

0.0052

0.0052

3

5

2

33

0.0065

0.0065

32

3

8

84

3.5

3.5

13

4

2

55

0.2364

0.2364

0.25623

8

POKERŠNIK Jan
(Ljubljana)

2

7

2

5

0

9

0.0056

0.0056

1

4

0

23

0.0028

0.0028

16

4

0

29

2.8966

2.8966

10

2

1

22

0.3636

0.3636

0.24253

9

MANTHA Jori Alexander
(Ljubljana)

3

11

3

8

0

17

0.0053

0.0053

1

9

0

24

0.0018

0.0018

31

5

2

55

4.8

4.8

8

6

3

48

0.2708

0.2708

0.24193

10

BORNEMANN Lars
(Waldviertel)

4

16

3

11

1

20

0.0041

0.0041

1

24

1

58

0.0028

0.0028

57

13

7

118

5.0169

5.0169

32

10

5

116

0.319

0.319

0.24057

11

VIDMAR Primož
(Kamnik)

4

15

3

6

1

10

0.0045

0.0045

3

10

0

39

0.0045

0.0045

30

10

10

86

1.7442

1.7442

14

2

1

76

0.3553

0.3553

0.23973

12

GEBHARDT Norbert
(Kazincbarcika)

1

1

1

0

0

1

0.0049

0.0049

0

0

0

1

0

0

1

0

0

1

1

1

0

0

0

0

0

0

0.21899

13

MILEV Vlado
(Kazincbarcika)

3

11

1

6

0

11

0.0018

0.0018

1

6

0

24

0.0018

0.0018

21

3

5

59

2.4237

2.4237

7

3

1

33

0.2424

0.2424

0.21698

14

OKROGLIČ Jure
(Ljubljana)

3

10

0

6

0

9

0

0

2

0

0

37

0.0035

0.0035

17

1

7

38

2.3684

2.3684

12

2

1

56

0.4821

0.4821

0.21503

15

PLIZGA Ernest
(Waldviertel)

3

7

1

2

0

5

0.0019

0.0019

0

2

0

11

0

0

7

2

4

20

0.35

0.35

7

1

0

35

0.4571

0.4571

0.20514

16

PLEŠKO Matija
(Ljubljana)

2

4

0

0

0

0

0

0

0

0

0

3

0

0

0

0

0

0

0

0

0

0

0

1

1

1

0.19569

17

PUŠNIK Nejc
(Aich/Dob)

2

3

0

0

0

0

0

0

0

0

0

1

0

0

2

0

0

3

2

2

1

0

0

2

1

1

0.19569

18

JURIĆ Petar
(Ml.Zagreb)

1

1

0

0

0

0

0

0

0

0

0

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0.19569

19

ŠTEMBERGAR ZUPAN Andrej
(Kamnik)

2

5

0

3

0

3

0

0

0

2

0

8

0

0

7

4

4

20

-0.25

-0.25

1

1

0

19

0.1053

0.1053

0.19523

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