Competition Site by Data Project

KUP RH 20/21

KUP 20/21

KUP RH 20/21

Best players
- Best players
- Libero
- Wing-spiker
- Opposite
- Middle-Blocker
- Setter
Team recap
Team details
Team players
All Players

Wing-spiker

KUP RH 20/21 Best players WING SPIKER

Player

Played

Block

Serve

Attack

Reception

Ranking

Tot

Bl ind.

Tot

Sv ind.

Tot

Sp ind.

Tot

Rc ind.

Index

Lučić Mislav
(OKM Centrometal)

0,0185

0,6818

0,4054

0,38635

Donevski Matija
(MOK Rijeka)

0,0152

0,0227

-0,5

0,38091

Zolota Abel
(OK Rovinj)

0,0046

0,0324

0,5556

0,3667

Bijelović Jovo
(OK Ribola Kaštela)

0,0111

0,0127

100

2,85

0,2593

0,31656

Silić Filip
(OK Kitro Varaždin (M))

0,013

0,0097

1,4412

0,5588

0,31048

Stanković Stanko
(MOK Mursa - Osijek)

0,0102

0,0073

3,9403

0,2549

0,29032

Dell'Orco Nikša
(OK Split (M))

0,0059

0,0139

2,75

0,3676

0,28996

Bogdanović Davor
(MOK Mursa - Osijek)

0,0044

0,0161

2,1081

0,3429

0,28813

Ilić Josip
(MOK Marsonia)

0,0164

0,7619

0,4062

0,28496

Repek Marko
(HAOK Mladost (M))

0,0208

1,3333

0,27975

Zeljković Ivan
(HAOK Mladost (M))

0,0094

0,0047

4,2

0,4038

0,27528

Vojak Josip
(HAOK Mladost (M))

0,0038

0,0134

1,7627

0,5417

0,27292

Barišić Anto
(MOK Marsonia)

0,0109

0,0055

-0,5714

0,6333

0,27271

Šmital David
(MOK Mursa - Osijek)

0,0056

0,0112

1,125

-0,125

0,26996

Čargonja Vid
(MOK Rijeka)

0,0095

0,0063

-0,4706

0,26713

Dukić Sandro
(HAOK Mladost (M))

0,0032

0,0127

1,3

0,2917

0,26382

Steinocher Tomislav
(OK Sheeft)

0,0163

0,3529

0,25742

Juras Antonio
(OKM Centrometal)

0,0029

0,0117

0,3478

0,3256

0,25564

Đirlić Ivan
(OK Split (M))

0,0143

1,5217

0,3514

0,25379

Janko Daniel
(OK Rovinj)

0,0046

0,0093

2,5

0,25343

Bugarija David
(OK Bibinje (M))

0,0104

-0,2308

-0,0833

0,24694

Kolarec Petar
(OK Kitro Varaždin (M))

0,0065

0,0032

1,25

0,2571

0,24376

Iliev Stojan
(MOK Mursa - Osijek)

0,0026

0,0079

1,25

0,1034

0,24111

Gavrilov Aleksandar
(OK Rovinj)

0,0046

0,6667

0,5714

0,23815

Jurić Petar
(HAOK Mladost (M))

0,006

0,003

0,25

0,23666

Mišak Slaven
(OK Sheeft)

0,0081

0,2356

Šuker Ante
(OK Ribola Kaštela)

0,0016

0,0048

4,1667

0,3944

0,23251

Alić Livio
(OK Sisak (M))

0,0078

0,75

0,2692

0,22575

Glaurdić Mate
(OK Split (M))

0,0065

-0,375

0,4444

0,2194

Stanković Daniel
(MOK Željezničar)

0,0056

0,1481

0,21562

Kulušić Ante
(OK Ribola Kaštela)

0,0041

1,2

0,2857

0,21315

Blaslov Luka
(OK Zadar (M))

0,9375

0,05

0,19815

Suk Tomislav
(MOK Mursa - Osijek)

0,6667

0,2222

0,19775

Vidović Niko
(OKM Centrometal)

0,6667

0,19738

Maričić Danijel
(OK Mlaka)

0,3333

0,6667

0,19653

Šimunić Ante
(OK Bibinje (M))

0,3

0,19644

Đorđević Goran
(OK Mlaka)

-0,8571

0,2727

0,19614

Varga Aleksandar
(OK Sheeft)

0,2143

-0,0556

0,19613

Balija Tomislav
(OK Sheeft)

0,2

0,19602

Jureta Nikola
(OK Ribola Kaštela)

0,5

0,19569

Klisović Marko
(OK Split (M))

-1

-0,5

0,19569

Lešić Ivan
(MOK Rijeka)

0,19569

Somođi Luka
(OK Kitro Varaždin (M))

1,25

0,19569

Kenjar Muhamed
(OK Rovinj)

0,19569

Velić Leonardo
(OK Sisak (M))

0,19569

Delija Roko
(OK Bibinje (M))

-1

0,19569

Mulvaj-Kopani Miren
(OK Mlaka)

-0,4286

-0,0435

0,19453

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: