Optibet Latvijas Čempionāts 23/24 vīriešiem

Optibet Latvijas Čempionāts 23/24 vīriešiem play-off

Optibet Latvijas Čempionāts 23/24 vīriešiem Best players OPPOSITE
PlayerPlayedServeServeBlockBlockAttackAttackRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.Index

1

Makarov Ilja
(Ezerzeme/Daugavpils Universitāte)

6

21

13

17

9

98

0,0221

0,0221

7

64

0

105

0,007

0,007

38

18

9

94

2,4574

2,4574

0,42521

2

Gabduļins Matīss
(RTU/Robežsardze/Jūrmala)

4

15

3

11

2

45

0,0073

0,0073

6

17

0

42

0,0088

0,0088

64

9

8

140

5,0357

5,0357

0,36357

3

Medenis Jānis
(Jēkabpils Lūši)

1

4

0

4

0

16

0

0

1

1

0

4

0,0057

0,0057

12

2

6

31

0,5161

0,5161

0,29011

4

Kalniņš Toms
(RTU/Robežsardze/Jūrmala)

4

9

2

3

1

11

0,0044

0,0044

1

0

0

2

0,0015

0,0015

9

0

3

16

3,375

3,375

0,28878

5

Liepa Toms Emīls
(VK Piejūra / MSĢ)

2

6

1

5

0

14

0,0037

0,0037

0

5

0

7

0

0

24

5

7

56

1,2857

1,2857

0,28349

6

Vilcāns Sandis
(Ezerzeme/Daugavpils Universitāte)

2

4

1

1

0

6

0,0032

0,0032

0

4

0

5

0

0

5

1

2

17

0,4706

0,4706

0,27803

7

Landzāns Kristers
(Jēkabpils Lūši)

2

2

0

1

0

1

0

0

0

2

0

2

0

0

3

0

0

6

1

1

0,26505

8

Ekhards Jēkabs
(VK Piejūra / MSĢ)

1

1

0

0

0

2

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0,2612

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