SUPERSPORT SUPERLIGA (M) 2025/2026

SUPERSPORT SUPERLIGA (M) 2025/2026

SUPERSPORT SUPERLIGA (M) 2025/2026 Best players OPPOSITE
PlayerPlayedServeBlockAttackRanking
  MS#=/TotSv ind.#=/TotBl ind.#=/TotSp ind.Index

1

Andrić Leo
(MOK Mursa - Osijek)

3

10

6

14

3

44

0,0196

8

6

0

24

0,0174

51

7

10

101

3,3663

0,4759

2

Strugar Bojan
(MOK Marsonia)

17

69

12

56

16

231

0,0093

30

33

1

83

0,01

308

54

71

717

17,6109

0,44226

3

Zečević Milan
(MOK Dinamo Zagreb)

2

8

1

4

2

30

0,0087

7

2

0

14

0,0204

26

9

6

67

1,3134

0,41946

4

Buzdugan Alexandru
(MOK Mursa - Osijek)

1

3

0

2

1

10

0,0072

2

0

0

3

0,0144

3

2

2

10

-0,3

0,36917

5

Lozić Ivan
(MOK Rijeka)

9

36

4

13

9

121

0,0082

13

0

0

15

0,0082

88

21

28

243

5,7778

0,36841

6

Anderson WIlliam
(OK Ribola Kaštela)

4

16

3

15

2

49

0,0075

7

4

0

13

0,0105

45

15

10

111

2,8829

0,36392

7

Marelić Marino
(HAOK Mladost (M))

11

27

6

14

2

95

0,005

9

16

0

34

0,0057

94

9

16

215

8,6651

0,35107

8

Raič Ivan
(OKM Centrometal)

5

19

4

9

2

55

0,0073

5

10

0

31

0,0061

79

21

26

215

2,8279

0,33911

9

Verasto Tibor
(OK Rovinj)

1

4

0

2

1

10

0,0049

2

0

0

2

0,0098

7

1

2

15

1,0667

0,33787

10

Čičak Ivan
(OK Sisak (M))

1

4

2

2

0

9

0,0113

0

0

0

1

0

13

4

5

36

0,4444

0,31809

11

Mičetić Teo
(HAOK Mladost (M))

9

18

2

7

3

52

0,0037

5

7

0

16

0,0037

49

11

9

107

4,8785

0,31651

12

Jurić Petar
(OK Cratis Varaždin (M))

3

9

3

6

0

31

0,0057

1

3

0

6

0,0019

42

7

10

96

2,3437

0,30734

13

Harrington Michael
(OK Rovinj)

1

1

0

0

0

3

0

1

0

0

1

0,0085

4

1

1

7

0,2857

0,30308

14

Lopatić Stefan
(OK Rovinj)

2

5

1

0

0

18

0,0029

2

1

0

4

0,0058

8

5

3

22

0

0,30274

15

Pulić Filip
(MOK Rijeka)

2

3

0

1

2

9

0,0052

0

0

0

0

0

4

1

2

13

0,2308

0,28657

16

Somođi Luka
(OK Cratis Varaždin (M))

3

9

0

3

0

11

0

2

2

0

8

0,0038

10

2

1

34

1,8529

0,28636

17

Peterlin Andrej
(OKM Centrometal)

2

4

0

3

0

3

0

0

2

0

2

0

5

2

0

12

1

0,26505

18

Šokčević Josip
(MOK Marsonia)

9

14

0

7

1

17

0,0007

0

0

0

0

0

5

1

1

10

4,2

0,26423

19

Alić Livio
(OK Sisak (M))

1

4

0

0

0

14

0

0

0

0

0

0

11

3

3

33

0,6061

0,26353

20

Grbavica Roko
(OK Ribola Kaštela)

2

6

0

0

0

5

0

0

0

0

0

0

1

1

0

5

0

0,2612

21

Križan Maks
(MOK Rijeka)

2

4

1

2

0

3

0,0038

0

0

0

0

0

1

0

0

3

1,3333

0,2612

22

Colnar Dino
(MOK Rijeka)

1

3

0

1

0

6

0

0

0

0

0

0

1

3

0

5

-1,2

0,2612

23

Fatorić Andrea
(OK Rovinj)

1

1

0

0

0

0

0

0

0

0

0

0

0

1

0

1

-1

0,2612

24

Stipanović Dragan
(MOK Rijeka)

1

1

0

1

0

1

0

0

0

0

0

0

0

1

0

2

-0,5

0,2612

25

Baić Bojan
(MOK Rijeka)

1

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0,2612

26

Jengić Filip
(OKM Centrometal)

1

1

0

0

0

1

0

0

0

0

1

0

0

2

1

3

-1

0,25738

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

  • = serve error

Attack

  • # point

  • / blocked

  • = error

Block

  • # point

  • / Net touch

  • = hand out

Filters applied

  • Minimum number of Matches played:  1