Optibet Latvijas Čempionāts sievietēm 21/22

Optibet Latvijas Čempionāts sievietēm 21/22

Optibet Latvijas Čempionāts sievietēm 21/22 Best players OPPOSITE
PlayerPlayedServeServeBlockBlockAttackAttackRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.Index

1

Pridatko Vlada
(Rīgas Volejbola skola/LU)

2

6

5

2

0

14

0,0195

0,0195

1

1

0

2

0,0039

0,0039

17

8

0

37

1,4595

1,4595

0,51176

2

Dambrehte Megija
(RSU/MVS)

13

47

19

19

2

170

0,0102

0,0102

20

13

0

37

0,0097

0,0097

153

43

22

450

9,1911

9,1911

0,47033

3

Sola Līva
(Jelgava)

10

30

6

7

2

76

0,0055

0,0055

23

7

0

43

0,0157

0,0157

51

17

9

151

4,9669

4,9669

0,41231

4

Zaķe Īvaise
(Latvijas Universitāte)

11

31

7

9

1

71

0,0041

0,0041

1

2

0

7

0,0005

0,0005

51

10

10

159

6,044

6,044

0,38742

5

Jukse Anete
(VK Gulbene)

6

18

3

4

2

39

0,0057

0,0057

3

3

0

8

0,0034

0,0034

24

14

12

122

-0,2951

-0,2951

0,37475

6

Pumpiņa Nataļja
(SUFA/DU)

7

24

3

0

2

39

0,0041

0,0041

1

0

0

6

0,0008

0,0008

6

3

0

24

3

3

0,35882

7

Petrova Amalija
(SUFA/DU)

9

31

4

12

0

58

0,0026

0,0026

8

9

0

42

0,0052

0,0052

26

9

5

73

5,0959

5,0959

0,35104

8

Misiņa Līva
(VK Gulbene)

7

14

3

3

0

22

0,0029

0,0029

1

0

0

1

0,001

0,001

4

6

1

22

-1,9091

-1,9091

0,34842

9

Višņova Armanda
(Mārupes SC)

6

11

0

4

2

33

0,0025

0,0025

2

0

0

2

0,0025

0,0025

1

0

0

2

5,5

5,5

0,34718

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

  • #NOME?

Attack

  • # point

  • / blocked

  • #NOME?

Block

  • # point

  • / Net touch

  • #NOME?

Filters applied

  • Minimum number of Matches played:  1