Belgian Volley Cup

Belgian Cup 21 -22 Men

Belgian Volley Cup Best players MIDDLE BLOCKER
PlayerPlayedBlockBlockServeServeAttackAttackRanking
  MS#=/TotBl ind.Bl ind.#=/TotSv ind.Sv ind.#=/TotSp ind.Sp ind.Index

1

OGINK Chris
(Caruur Volley GENT)

4

15

16

20

0

47

0.0239

0.0239

2

8

7

62

0.0135

0.0135

20

3

1

37

6.4865

6.4865

0.53129

2

COOLMAN Pieter
(Knack ROESELARE)

1

4

6

1

4

18

0.0319

0.0319

0

2

0

16

0

0

7

1

1

16

1.25

1.25

0.50294

3

SINNESAEL Jelle
(Decospan Volley Team MENEN)

4

16

18

17

3

52

0.0257

0.0257

2

2

0

63

0.0029

0.0029

15

5

2

34

3.7647

3.7647

0.48429

4

VAN DE VOORDE Simon
(Lindemans AALST)

5

19

18

16

0

64

0.0199

0.0199

4

7

2

67

0.0066

0.0066

37

5

2

56

10.1786

10.1786

0.47956

5

VANDOOREN Vianney
(VBC WAREMME)

1

4

5

3

0

9

0.027

0.027

0

2

0

12

0

0

5

0

0

9

2.2222

2.2222

0.47548

6

VERWEIJ Dion
(Tectum ACHEL)

1

3

4

3

0

15

0.025

0.025

0

1

0

14

0

0

2

0

0

4

1.5

1.5

0.46221

7

ANDERSEN Simon
(Decospan Volley Team MENEN)

4

16

13

16

5

48

0.0185

0.0185

0

3

3

45

0.0043

0.0043

19

1

1

35

7.7714

7.7714

0.45582

8

FAFCHAMPS Samuel
(VBC WAREMME)

1

3

2

3

0

5

0.0108

0.0108

1

3

0

11

0.0054

0.0054

4

0

1

7

1.2857

1.2857

0.40532

9

VAN ELSEN Lennert
(VOLLEY HAASRODE LEUVEN)

2

7

5

10

0

23

0.0131

0.0131

0

3

1

29

0.0026

0.0026

7

2

2

16

1.3125

1.3125

0.40527

10

VIGIL Alejandro
(Lindemans AALST)

5

19

6

33

0

61

0.0066

0.0066

3

12

3

73

0.0066

0.0066

30

2

4

44

10.3636

10.3636

0.40209

11

DE PAEPE Laszlo
(VOLLEY HAASRODE LEUVEN)

2

6

2

9

1

17

0.0052

0.0052

2

1

2

24

0.0105

0.0105

7

1

1

17

1.7647

1.7647

0.39867

12

SMIT Tim
(Tectum ACHEL)

1

3

2

2

0

6

0.0125

0.0125

0

3

0

11

0

0

5

0

1

8

1.5

1.5

0.38947

13

COLSON Martijn
(Caruur Volley GENT)

4

15

7

17

0

34

0.0105

0.0105

0

11

0

38

0

0

34

1

3

59

7.6271

7.6271

0.38785

14

VAN DE VELDE Arno
(Knack ROESELARE)

1

2

2

0

2

8

0.0106

0.0106

0

2

0

9

0

0

2

0

0

4

1

1

0.37817

15

ONDROVIC Peter
(Lindemans AALST)

3

6

3

2

0

6

0.0059

0.0059

2

3

0

13

0.0039

0.0039

3

1

0

5

2.4

2.4

0.36826

16

TREIAL Henri
(VC Greenyard MAASEIK)

1

5

1

4

1

14

0.0047

0.0047

1

0

0

14

0.0047

0.0047

8

2

1

15

1.6667

1.6667

0.368

17

DEDEYNE Leonis
(Decospan Volley Team MENEN)

1

4

1

3

0

5

0.0056

0.0056

0

0

0

11

0

0

8

3

3

23

0.3478

0.3478

0.34944

18

FASTELAND Rune
(Knack ROESELARE)

1

3

1

0

2

5

0.0053

0.0053

0

1

0

6

0

0

3

1

2

6

0

0

0.34728

19

GUAZZELLI BONATTO Gustavo
(VC Greenyard MAASEIK)

1

5

0

9

0

17

0

0

0

2

1

17

0.0047

0.0047

8

0

0

12

3.3333

3.3333

0.34493

20

VAN LOON Robbe
(VBC WAREMME)

1

2

0

0

0

0

0

0

1

1

0

4

0.0054

0.0054

1

1

0

3

0

0

0.34301

21

DE SAEDELEER Daan
(VOLLEY HAASRODE LEUVEN)

2

3

1

4

0

9

0.0026

0.0026

0

2

0

7

0

0

3

0

0

4

2.25

2.25

0.33628

22

GEUDENS Rob
(VOLLEY HAASRODE LEUVEN)

1

1

0

0

0

1

0

0

0

0

0

4

0

0

1

0

0

1

1

1

0.3206

Ranking Calculation

Middle-Blocker

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:  1

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