MEVZA League Men 2025/2026

MEVZA League Men 2025/2026

Wing-spiker

MEVZA League Men 2025/2026 Best players WING SPIKER
PlayerPlayedBlockBlockServeServeAttackAttackReceptionReceptionRanking
  MS#=/TotBl ind.Bl ind.#=/TotSv ind.Sv ind.#=/TotSp ind.Sp ind.#=/TotRc ind.Rc ind.Index

1

CIMBALJEVIĆ Vukašin
(OK BUDVA (MNE))

6

22

13

8

0

34

0.013

0.013

12

16

3

71

0.015

0.015

67

12

26

167

3.8204

3.8204

17

13

6

129

0.2248

0.2248

0.34343

2

LANDZĀNS Kristers
(SK Zadruga AICH/DOB (AUT))

2

6

2

3

3

8

0.0063

0.0063

4

8

1

21

0.0157

0.0157

24

4

5

41

2.1951

2.1951

0

0

0

0

0

0

0.29768

3

RADUNOVIĆ Balša
(OK BUDVA (MNE))

5

18

6

13

0

25

0.0074

0.0074

5

24

6

75

0.0135

0.0135

46

11

16

117

2.9231

2.9231

16

9

1

96

0.2708

0.2708

0.29728

4

JIRÁSEK Jan
(SK Zadruga AICH/DOB (AUT))

2

7

4

5

0

16

0.0123

0.0123

1

7

1

23

0.0062

0.0062

27

2

3

46

3.3478

3.3478

9

2

1

52

0.4423

0.4423

0.29659

5

VUKAŠINOVIĆ Marko
(OK BUDUĆNOST (MNE))

1

4

2

1

0

3

0.0101

0.0101

2

5

0

20

0.0101

0.0101

15

2

2

36

1.2222

1.2222

5

1

1

33

0.3636

0.3636

0.29271

6

ZVICER Ivan
(MAV Elore-Foxconn (HUN))

3

14

3

7

0

15

0.0051

0.0051

3

8

4

48

0.0118

0.0118

49

5

4

104

5.3846

5.3846

14

6

3

87

0.2644

0.2644

0.28398

7

KOCI Redjo
(MAV Elore-Foxconn (HUN))

2

8

2

4

0

11

0.0057

0.0057

2

4

2

35

0.0115

0.0115

21

5

4

41

2.3415

2.3415

10

4

1

33

0.4545

0.4545

0.27713

8

DELIĆ Jovan
(OK BUDUĆNOST (MNE))

6

23

8

19

0

33

0.0075

0.0075

2

16

6

64

0.0075

0.0075

69

17

24

164

3.9268

3.9268

37

10

4

103

0.4272

0.4272

0.27581

9

BAKIRI Redi
(MAV Elore-Foxconn (HUN))

2

8

1

4

0

11

0.0029

0.0029

4

4

0

19

0.0115

0.0115

34

3

6

63

3.1746

3.1746

6

8

2

45

0.2667

0.2667

0.26294

10

ROKJĀNS Armands
(SK Zadruga AICH/DOB (AUT))

4

12

3

2

1

11

0.0047

0.0047

2

2

3

43

0.0078

0.0078

28

5

5

62

3.4839

3.4839

22

4

1

64

0.4844

0.4844

0.25976

11

DONIK Žiga
(OK i-Vent MARIBOR)

6

16

7

10

0

21

0.007

0.007

2

1

1

37

0.003

0.003

44

3

9

91

5.6264

5.6264

20

7

6

104

0.2885

0.2885

0.25912

12

LICIS Zigurds
(SK Zadruga AICH/DOB (AUT))

4

11

5

6

0

13

0.0078

0.0078

3

11

0

31

0.0047

0.0047

22

6

10

63

1.0476

1.0476

8

3

2

43

0.2093

0.2093

0.25632

13

JAKOVAC Karlo
(MOK Mursa Osijek (CRO))

6

21

5

6

1

14

0.0048

0.0048

3

16

2

62

0.0048

0.0048

46

9

10

98

5.7857

5.7857

19

7

14

159

0.2075

0.2075

0.25476

14

ĐIRLIĆ Ivan
(MOK Mursa Osijek (CRO))

2

6

2

0

0

2

0.0058

0.0058

1

4

1

17

0.0058

0.0058

17

2

3

36

2

2

4

0

2

20

0.45

0.45

0.25329

15

CAVALCANTI Gustavo
(OK i-Vent MARIBOR)

4

16

2

8

0

12

0.0028

0.0028

3

19

2

48

0.0071

0.0071

45

9

12

86

4.4651

4.4651

22

3

7

98

0.398

0.398

0.24892

16

ŠOŠ Dino
(MOK Mursa Osijek (CRO))

2

5

1

7

0

8

0.0031

0.0031

3

0

0

17

0.0094

0.0094

4

1

2

13

0.3846

0.3846

0

0

0

5

0.4

0.4

0.24587

17

BOGDANOVIĆ Davor
(MOK Mursa Osijek (CRO))

6

20

2

4

0

7

0.0019

0.0019

5

10

1

73

0.0058

0.0058

32

9

7

89

3.5955

3.5955

8

4

7

61

0.1967

0.1967

0.2364

18

CAMINO MARTINEZ Bryan
(OK i-Vent MARIBOR)

3

9

0

7

0

8

0

0

2

6

1

28

0.0063

0.0063

32

2

9

72

2.625

2.625

12

1

1

42

0.4524

0.4524

0.22607

19

LJAFTOV Aleksandar
(MAV Elore-Foxconn (HUN))

3

10

1

4

3

10

0.0017

0.0017

2

9

1

33

0.0051

0.0051

20

7

9

61

0.6557

0.6557

15

1

1

53

0.5472

0.5472

0.22444

20

PODBREGAR ŠPES Jakob
(OK i-Vent MARIBOR)

4

8

3

2

0

8

0.0042

0.0042

1

3

0

18

0.0014

0.0014

8

4

3

26

0.3077

0.3077

6

5

2

31

0.1613

0.1613

0.22209

21

KECSKEMÉTI Bálint
(MAV Elore-Foxconn (HUN))

5

11

1

2

0

3

0.0011

0.0011

0

4

1

18

0.0011

0.0011

23

2

2

39

5.359

5.359

4

1

1

24

0.2917

0.2917

0.2186

22

NIKOLIĆ Aleksa
(OK BUDUĆNOST (MNE))

5

13

1

3

0

6

0.0011

0.0011

2

7

2

30

0.0044

0.0044

14

5

10

50

-0.26

-0.26

14

2

6

44

0.25

0.25

0.216

23

MICHEU Jonas Alexander
(SK Zadruga AICH/DOB (AUT))

3

4

1

0

3

5

0.002

0.002

0

0

1

7

0.002

0.002

6

0

3

15

0.8

0.8

1

4

1

11

-0.1818

-0.1818

0.21403

24

KLINGER Liam
(OK i-Vent MARIBOR)

4

9

0

5

0

5

0

0

0

2

3

13

0.0047

0.0047

6

3

2

19

0.4737

0.4737

3

0

0

10

0.5

0.5

0.21198

25

RADIĆ Aleksa
(OK BUDUĆNOST (MNE))

2

2

1

1

0

2

0.0032

0.0032

0

0

0

1

0

0

0

0

0

0

0

0

1

0

0

3

0.6667

0.6667

0.21058

26

STANOJEVIĆ Vuk
(OK BUDVA (MNE))

6

12

2

5

1

11

0.002

0.002

0

6

0

19

0

0

15

3

3

29

3.7241

3.7241

17

3

1

68

0.3971

0.3971

0.20572

27

PÉTER Arnold
(MAV Elore-Foxconn (HUN))

4

6

0

0

0

0

0

0

0

2

0

4

0

0

1

1

0

3

0

0

1

0

0

6

0.3333

0.3333

0.19569

28

MILOSAVLJEVIĆ Filip
(OK BUDVA (MNE))

3

3

0

1

0

1

0

0

0

0

0

1

0

0

1

0

1

5

0

0

0

0

0

5

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

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