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SUPERLIGA (M)

SUPERLIGA 19/20 (M)

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Middle-Blocker

SUPERLIGA (M) Best players MIDDLE BLOCKER

Player

Played

Block

Serve

Attack

Ranking

Tot

Bl ind.

Tot

Sv ind.

Tot

Sp ind.

Index

Zelenika Hrvoje
(OKM Centrometal)

148

0,0189

253

0,0128

123

210

32,381

0,54199

Perić Stipe
(OK Mladost Ribola Kaštela)

0,0278

0,0119

0,53551

Brčić Dominik
(OK Medicinar Trnje)

0,0248

164

0,0051

104

212

16,5094

0,512

Dukić Sandro
(HAOK Mladost (M))

0,0185

0,0148

3,1765

0,49963

Ćosić Ivan
(OK Split (M))

0,0116

234

0,0097

143

253

27,747

0,47538

Kovačević Andrej
(MOK Marsonia)

161

0,0206

135

0,0022

156

15,8974

0,47163

Jošić Goran
(OK Kitro Varaždin (M))

0,0152

155

0,0069

107

17,0467

0,46509

Jurlin Dino
(OK Zadar (M))

127

0,0184

122

0,0045

213

12,8451

0,46434

Pavlović Fran
(MOK Rijeka)

0,0117

203

0,0093

20,9146

0,46242

Orešković Ivan
(OKM Centrometal)

0,0111

197

0,0086

127

24,6929

0,46181

Vranješ Lovro
(OK Medicinar Trnje)

0,0143

170

0,008

131

13,4656

0,45874

Mitrašinović Tomislav
(HAOK Mladost (M))

0,0148

0,0111

1,7143

0,45682

Nedić Filip
(MOK Mursa - Osijek)

107

0,0118

187

0,0061

102

193

21,3368

0,44809

Mandura Ivan
(MOK Marsonia)

0,0148

0,0079

2,6923

0,44301

Lasić Luka
(MOK Rijeka)

0,0095

151

0,0087

18,2826

0,4421

Duraković Arnel
(OK Sisak)

0,0111

169

0,0065

160

19,175

0,4421

Perić Luka
(OK Zadar (M))

0,0166

0,0055

0,4444

0,43801

Bešlić Živko
(MOK Mursa - Osijek)

0,0089

192

0,0046

22,9167

0,42633

Kovačević Stefan
(HAOK Mladost (M))

0,0148

0,0037

4,7143

0,42554

Sponza Gianluca
(OK Rovinj)

0,0101

172

0,0076

281

8,3274

0,42361

Varga Roberto
(MOK Mursa - Osijek)

0,0126

0,0028

3,5

0,401

Vaško Antonio
(OK Sisak)

0,0079

0,8571

0,40029

Maruna Patrik
(OK Zadar (M))

0,0063

0,0044

16,2879

0,39925

Trošt Matija
(OK Rovinj)

0,0078

0,39758

Kuruc Ivan
(OK Medicinar Trnje)

0,0055

107

0,0061

9,1304

0,39117

Dalton Solbrig
(OK Mladost Ribola Kaštela)

0,0119

3,8571

0,38992

Cvanciger Gabrijel
(OK Sisak)

0,0038

130

0,0089

234

5,1111

0,38848

Jurić Petar
(MOK Marsonia)

0,0078

161

0,0055

0,38624

Stanić Renato
(OK Kitro Varaždin (M))

0,0055

0,0041

8,3582

0,38076

Preden Sergio Riccardo
(OK Rovinj)

0,0042

0,0033

10,4062

0,37294

Šućur Kristijan
(OK Mladost Ribola Kaštela)

0,0079

0,36472

Majer Petar
(MOK Mursa - Osijek)

0,0021

0,005

7,4483

0,36429

Janko Daniel
(OK Rovinj)

0,0056

0,0028

0,6667

0,36267

Škarpa Karlo
(OK Zadar (M))

0,0058

0,0019

0,35874

Ivković Ivan
(OK Zadar (M))

0,0052

0,0026

0,35845

Đekić Simon Constantin
(OK Rovinj)

0,0044

0,0012

6,02

0,35681

Marinović Rajko
(OK Zadar (M))

0,0073

0,35158

Marković Goran
(MOK Rijeka)

0,0012

0,0041

0,34362

Marčić Ivo
(OK Split (M))

0,0035

0,0012

0,34283

Gudelj Ivan
(OK Split (M))

0,0013

2,64

0,33582

Blažević Matej
(OK Sisak)

0,0014

1,0667

0,33302

Šimić Leo
(OK Sisak)

0,0007

2,6667

0,32601

Katić Ilija
(MOK Marsonia)

0,5

0,31985

Glavić Mateo
(OK Zadar (M))

0,31911

Radovan Erik
(OK Rovinj)

0,31911

Žeželić Franko
(MOK Rijeka)

0,31911

Senjak Petar
(OK Sisak)

0,31911

Boroz Josip
(MOK Marsonia)

0,31911

Garić Branimir
(MOK Marsonia)

0,31911

Krmpotić Mario
(MOK Rijeka)

0,31911

Ranking Calculation

Middle-Blocker

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: