Meeste Esiliiga

Meest I-Liiga

Meeste Esiliiga Best players WING SPIKER
PlayerPlayedServeBlockAttackReceptionRanking
  MS#=/TotSv ind.#=/TotBl ind.#=/TotSp ind.#=/TotRc ind.Index

1

Verro Indrek
(Liider/Rae vald)

1

3

3

0

0

15

0.0229

1

0

0

1

0.0076

2

1

0

5

0.6

0

0

0

0

0

0.33165

2

Steinberg Sander
(Tallinna Ülikool)

1

3

0

2

2

10

0.0109

2

2

0

4

0.0109

9

0

2

19

1.1053

8

1

1

18

0.5

0.30189

3

Lääne Johann Olaf
(Eesti Maaülikool)

1

4

0

0

2

17

0.0105

2

6

0

8

0.0105

12

3

4

34

0.5882

8

0

1

23

0.5217

0.29536

4

Orutar Richard
(Liider/Rae vald)

3

13

3

8

2

50

0.0084

6

6

0

13

0.0101

32

11

5

86

2.4186

9

2

8

54

0.5

0.29006

5

Saviauk Karmo
(EstNor/KIILI )

6

20

5

3

3

80

0.0084

5

6

0

15

0.0052

52

10

4

97

7.8351

51

6

2

94

0.6064

0.27907

6

Jõela Janno
(Eesti Maaülikool)

1

4

0

2

2

13

0.0105

1

2

0

3

0.0052

13

1

2

28

1.4286

17

1

2

29

0.6207

0.26751

7

Stog Jan
(Tallinna SK)

2

5

0

3

1

11

0.0034

3

4

0

8

0.0101

3

0

1

5

2

0

0

0

0

0

0.25971

8

Jürima Kristjan
(EstNor/KIILI )

10

35

4

12

8

121

0.0069

2

24

0

29

0.0012

95

12

19

215

10.4186

50

2

4

106

0.6604

0.25784

9

Riiner Rauno
(Tallinna Ülikool)

2

5

1

2

0

23

0.0032

3

3

0

7

0.0095

3

0

0

5

3

0

1

0

3

-0.3333

0.2553

10

Koiduste Kaur
(IMsport/Järvamaa)

5

15

5

15

0

49

0.0078

2

1

0

3

0.0031

42

13

0

104

4.1827

20

6

1

57

0.4737

0.25294

11

Vantsi Virko
(Tallinna Ülikool)

3

9

4

4

0

44

0.0083

1

3

0

6

0.0021

35

7

1

62

3.9194

0

0

0

0

0

0.24725

12

Villems Karl Erik
(EstNor/KIILI )

3

10

3

4

2

38

0.011

1

0

0

1

0.0022

4

3

0

9

1.1111

0

0

0

1

0

0.24699

13

Kuller Jaanus
(Liider/Rae vald)

1

4

1

2

0

14

0.0053

1

1

0

2

0.0053

4

0

1

10

1.2

6

1

1

20

0.55

0.242

14

Laes Ivar
(Tallinna Ülikool)

4

8

2

7

1

27

0.0045

1

3

0

4

0.0015

12

2

1

29

2.4828

8

3

3

44

0.3182

0.22614

15

Mesila Argo
(Tallinna Ülikool)

1

2

0

0

0

5

0

1

0

0

1

0.0055

4

1

2

13

0.1538

0

0

0

5

0

0.22235

16

Uusküla Tanel
(Tallinna Ülikool)

1

1

0

1

1

4

0.006

0

3

0

3

0

2

1

3

10

-0.2

3

0

1

4

0.5

0.21702

17

Piik Urmas
(Tallinna Ülikool)

3

8

1

4

0

25

0.0021

0

2

0

2

0

29

3

0

50

4.16

14

1

0

29

0.7931

0.21525

18

Kallas Taavi
(EstNor/KIILI )

4

9

0

6

1

22

0.0016

0

5

0

5

0

15

4

3

29

2.4828

19

3

2

40

0.45

0.20846

19

Laus Jasper
(EstNor/KIILI )

2

5

1

0

0

6

0.0033

0

0

0

0

0

1

2

1

6

-1.6667

6

0

0

10

0.6

0.20702

20

Andrejev Egert
(Saaremaa)

1

1

0

0

0

0

0

0

0

0

0

0

0

0

0

1

0

0

0

0

0

0

0.19569

21

Koddala Markkus
(Eesti Maaülikool)

1

3

0

0

0

0

0

0

0

0

0

0

2

2

0

6

0

0

0

0

0

0

0.19569

22

Koni Silver
(Eesti Maaülikool)

1

1

0

1

0

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0.19569

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