PRVA HRVATSKA ODBOJKAŠKA LIGA (M) 2025/2026

PRVA HRVATSKA ODBOJKAŠKA LIGA (M) 2025/2026

PRVA HRVATSKA ODBOJKAŠKA LIGA (M) 2025/2026 Best players OPPOSITE
PlayerPlayedServeBlockAttackRanking
  MS#=/TotSv ind.#=/TotBl ind.#=/TotSp ind.Index

1

Vidović Viktor Olja
(HAOK Mladost II (M))

1

5

2

4

2

18

0,019

4

8

0

13

0,019

13

6

1

39

0,7692

0,46923

2

Mačvanin Luka
(OK Gorica)

1

3

1

1

1

8

0,0148

3

0

0

3

0,0222

5

2

2

17

0,1765

0,4599

3

Sulić Tomo
(MOK Rijeka II)

7

26

8

13

12

97

0,0173

12

0

0

12

0,0104

74

22

9

196

5,7041

0,43241

4

Molnar Matija
(MOK Čazma)

8

31

10

16

4

97

0,0104

18

0

0

18

0,0134

138

39

26

329

6,8784

0,41539

5

Mihin Dorian
(MOK Mursa -Osijek II)

1

5

2

1

2

23

0,0193

2

0

0

2

0,0097

3

2

1

15

0

0,41262

6

Cvitanović Damjan
(HAOK Mladost II (M))

3

11

4

8

1

39

0,0108

4

4

0

11

0,0086

38

10

4

97

2,7216

0,37131

7

Vrselja Matija
(OK Zrinski Nuštar)

1

4

2

2

0

15

0,011

1

0

0

1

0,0055

5

3

0

20

0,4

0,34494

8

Šoš Dino
(MOK ŽELJEZNIČAR)

1

4

2

0

0

12

0,0107

1

0

0

1

0,0053

21

7

4

55

0,7273

0,34405

9

Majer Petar
(MOK ŽELJEZNIČAR)

1

3

1

2

1

14

0,0143

0

0

0

0

0

3

2

1

10

0

0,3317

10

Doljanin Bruno
(OK Split (M))

2

8

2

8

0

28

0,0058

1

0

0

1

0,0029

27

5

6

66

1,9394

0,31092

11

Mađarić Mateo
(MOK ŽELJEZNIČAR)

2

6

2

2

0

11

0,0061

0

0

0

0

0

11

5

2

33

0,7273

0,29317

12

Jurlin Dino
(OK Zadar (M))

2

7

0

4

0

17

0

2

0

0

2

0,0065

6

4

1

30

0,2333

0,29295

13

Mirat Filip
(OK Ribola Kaštela II)

1

3

0

0

0

4

0

1

0

0

1

0,0052

8

2

1

18

0,8333

0,28883

14

Mudrovčić Tomislav
(MOK Čazma)

3

8

0

1

1

14

0,0018

1

0

0

1

0,0018

12

7

3

32

0,5

0,27998

15

Slavica Bruno
(OK Gorica)

1

5

0

1

0

11

0

0

0

0

0

0

17

2

1

36

1,9444

0,26872

16

Poljak Dominik
(OK Ribola Kaštela II)

1

4

0

2

0

7

0

0

0

0

0

0

6

1

3

16

0,5

0,26312

17

Felker Patrik
(MOK Rijeka II)

3

4

0

0

0

3

0

0

0

0

0

0

1

2

0

4

-1

0,2612

18

Šimunić Mata
(OK Zrinski Nuštar)

1

3

0

0

0

1

0

0

0

0

0

0

0

0

1

6

-0,5

0,2612

19

Pešut Igor
(MOK Rijeka II)

1

3

0

0

0

3

0

0

0

0

0

0

2

1

0

8

0,375

0,2612

20

Sabalić Sebastian
(MOK Rijeka II)

1

3

0

1

0

3

0

0

0

0

0

0

2

2

1

7

-0,4286

0,2612

21

Prugovečki Matija
(MOK ŽELJEZNIČAR)

1

2

0

1

0

2

0

0

0

0

0

0

0

0

0

0

0

0,2612

22

Sokol Stjepan
(HAOK Mladost II (M))

1

2

0

0

0

1

0

0

0

0

0

0

2

0

1

4

0,5

0,2612

23

Martić Matej
(OK Gorica)

1

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0,2612

24

Panjol Tuflija Gašpar
(OK Zadar (M))

1

1

0

1

0

1

0

0

0

0

0

0

0

0

0

1

0

0,2612

25

Radić Filip
(MOK Čazma)

1

1

0

0

0

1

0

0

0

0

0

0

0

0

1

1

-1

0,2612

26

Bohović Krešimir
(MOK Mursa -Osijek II)

1

3

0

0

0

3

0

0

0

0

0

0

1

1

1

9

-0,3333

0,25992

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