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Squad

FK Vojvodina squad 2026/2027

SuperLiga (Serbia) · 10 matches played

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

Top scorer 5 Dejan Zukić · from 0.00 xG
Most xG 0.00 Dragan Rosić · 0 goals
Most xA 0.00 Dragan Rosić · 0 assists
Most xGI 0.00 Dragan Rosić · 0.00 xG + 0.00 xA

What the squad numbers say

Dragan Rosić leads the squad for expected goal involvement, with 0.00: 0.00 expected goals and 0.00 expected assists. The top scorer is Dejan Zukić, with 5 goals from 0.00 expected goals. The same player carries the widest gap between goals and expected goals in the squad: 5 goals against 0.00 expected goals, +5.00 above them.

Expected goals

  1. 1 Dragan Rosić 0.00

Expected assists

  1. 1 Dragan Rosić 0.00

Expected goal involvement

  1. 1 Dragan Rosić 0.00

The squad

Every player with a season at this club: appearances, starts, minutes, goals, assists and the chances behind them.
Player POS APP MIN SH G xG G−xG CONV npxG
Dragan Rosić Goalkeeper 10 900 0 0 0.00 0.00 — 0.00
Kornél Szűcs Defender 10 899 5 0 0.00 0.00 0% 0.07
Petar Sukačev Defender 10 812 22 3 0.00 +3.00 14% 0.64
Lazar Ranđelović Midfielder 10 780 22 3 0.00 +3.00 14% 0.96
Njegoš Petrović Midfielder 10 762 7 0 0.00 0.00 0% 0.01
Milan Kolarević Midfielder 10 700 19 2 0.00 +2.00 11% 0.33
Lazar Nikolić Defender 8 661 0 0 0.00 0.00 — 0.00
Dejan Zukić Midfielder 9 650 18 5 0.00 +5.00 28% 0.93
Nardin Mulahusejnović Forward 10 606 24 4 0.00 +4.00 17% 1.09
Erhan Mašović Defender 6 464 1 0 0.00 0.00 0% 0.15
Dragan Kokanović Midfielder 8 446 14 2 0.00 +2.00 14% 0.39
Ifet Đakovac Midfielder 9 403 6 0 0.00 0.00 0% 0.02
Đorđe Crnomarković Defender 7 376 2 0 0.00 0.00 0% 0.00
Lucas Barros Defender 6 259 1 0 0.00 0.00 0% 0.01
Aleksa Vukanović Forward 5 225 8 0 0.00 0.00 0% 0.26
Milutin Vidosavljević Midfielder 5 210 8 0 0.00 0.00 0% 0.14
Marko Veličković Midfielder 6 203 7 0 0.00 0.00 0% 0.18
Marko Poletanović Midfielder 6 136 2 0 0.00 0.00 0% 0.01
Mihai Butean Defender 2 111 1 0 0.00 0.00 0% 0.00
Siniša Tanjga Defender 1 74 0 0 0.00 0.00 — 0.00
Vuk Boškan Forward 4 69 2 0 0.00 0.00 0% 0.03
Stefan Mitrović Forward 2 37 1 1 0.00 +1.00 100% 0.10
Stefan Stanisavljević Forward 1 10 0 0 0.00 0.00 — 0.00
Lazar Peranović Forward 1 1 0 0 0.00 0.00 — 0.00
Goals include penalties, and expected goals include penalty chances wherever the provider counts them, so G−xG is taken over both. npxG leaves penalty chances out. The provider publishes it as a figure of its own rather than as expected goals less penalties, so the gap between the two is mostly a player's penalty chances but not only that — for a player who took none, npxG can come out above xG. No column here takes it from goals: nothing this page holds counts a player's non-penalty goals.

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 10 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. SuperLiga (Serbia) 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 →