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Squad

NK Lokomotiva Zagreb squad 2026/2027

HNL · 8 matches played

NK Lokomotiva Zagreb's 2026/2027 squad, ranked by minutes played. Compare goals, assists, xG, xA and expected goal involvement across the squad.

Top scorer 3 Dušan Vuković · from 1.56 xG
Most xG 1.58 Mirko Marić · 1 goal
Most xA 1.22 Marko Pajač · 2 assists
Most xGI 2.02 Dušan Vuković · 1.56 xG + 0.46 xA

What the squad numbers say

Dušan Vuković leads the squad both for expected goal involvement, with 2.02, and for goals, with 3 goals from 1.56 expected goals. Marko Pajač leads the squad for expected assists, with 1.22, against 2 assists.

Expected goals

  1. 1 Mirko Marić 1.58

Expected assists

  1. 1 Marko Pajač 1.22

Expected goal involvement

  1. 2 Mirko Marić 1.67
  2. 3 Marko Pajač 1.22

The squad

Every player with a season at this club: appearances, starts, minutes, goals, assists and the chances behind them.
Player POS MIN MIN% G A xG xA xGI xGI/90 xGI share
Josip Posavec Goalkeeper 720 100% 0 0 0.00 0.00 0.00 0.00 0%
Athanasios Triantafyllou Defender 692 96% 1 1 0.54 0.28 0.82 0.11 7%
Dušan Vuković Forward 680 94% 3 2 1.56 0.46 2.02 0.27 16%
Matija Subotić Midfielder 580 81% 0 1 0.08 0.29 0.37 0.06 3%
Ivan Katić Midfielder 477 66% 1 0 0.47 0.05 0.52 0.10 4%
Kristijan Čabrajić Defender 450 63% 0 0 0.07 0.35 0.42 0.08 3%
Marko Vešović Forward 408 57% 1 0 0.30 0.09 0.39 0.09 3%
Fran Karačić Defender 337 47% 0 0 0.65 0.14 0.79 0.21 6%
Jakov-Anton Vasilj Midfielder 325 45% 0 0 0.16 0.13 0.29 0.08 2%
Mirko Marić Forward 307 43% 1 1 1.58 0.09 1.67 0.49 13%
Leon Belcar Midfielder 304 42% 1 0 0.60 0.09 0.69 0.20 6%
Marijan Čabraja Defender 270 38% 0 0 0.01 0.48 0.49 0.16 4%
Marko Pajač Defender 270 38% 0 2 0.00 1.22 1.22 0.41 10%
Noel Đurković Forward 259 36% 2 0 1.10 0.03 1.13 — 9%
Marcel Lorber Midfielder 232 32% 0 0 0.00 0.02 0.02 — 0%
Dominik Thaqi Forward 210 29% 0 0 0.08 0.24 0.32 — 3%
Feta Fetai Midfielder 176 24% 0 0 0.02 0.00 0.02 — 0%
Teodor Kralevski Defender 158 22% 0 0 0.00 0.00 0.00 — 0%
Noa Godec Defender 135 19% 0 0 0.10 0.02 0.12 — 1%
Pavle Smiljanić Midfielder 103 14% 0 0 0.22 0.03 0.25 — 2%
Mate Antunović Forward 99 14% 0 0 0.04 0.08 0.12 — 1%
Kayke Rodrigo Souza de Abreu Forward 69 10% 0 0 0.00 0.06 0.06 — 0%
Jakov Gurlica Midfielder 28 4% 0 0 0.00 0.03 0.03 — 0%
Lovre Kulušić Forward 28 4% 0 0 0.00 0.01 0.01 — 0%
Duje Reić Midfielder 23 3% 0 0 0.00 0.00 0.00 — 0%
xGI share is a player's expected goal involvement against the sum of every involvement the feed measured at this club in this competition — 29 players, including any who have since left. It is a share of measured player involvement, not of the club's own expected goals, and the two do not reconcile: the club's figure counts every shot it took, including those by players the feed missed, and expected assists are a different measurement altogether.

Rates per ninety minutes are shown for a player with at least 270 minutes behind him — the control above moves that floor, and it moves nothing else. Minutes share is a player's minutes against the 8 matches this club has played in this competition, at ninety minutes each. Expected goals, non-penalty expected goals and expected assists are summed from this competition's per-match feed, so a player it holds no figures for carries a dash rather than a nought.

About the data

Where these figures come from, and what they leave out

Data source
Appearances, starts, minutes, goals and assists are the provider's season line. Expected goals, expected assists and non-penalty expected goals are summed from its per-match feed over this club's fixtures. HNL only — no figure here adds two competitions together.
Calculated by xgEdge
xGI, the per-90 rates, goals minus expected goals, xGI share and minutes share are worked out here from those figures. Nothing on this page is a model's output.
Missing data
A dash means a figure was not measured; a nought means it was measured and came to nothing. Per-90 figures are hidden below the minimum-minutes setting, which opens at 270 and never removes a row.

How every figure on this site is made →

How the model works →