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🇺🇸 MLS · 2026/27

New York City FC

15 players with minutes this season and 33 goals between them. The top scorer is N. Fernández Mercau with 15.

Team goals
33
in MLS
Top scorer
N. Fernández Mercau
15 goals · 45 % of the total
Best rated
N. Fernández Mercau
7.82 · 27 GP
Youngest with minutes
A. Ojeda
21 yrs · 2307 min
Player Age GP Min Goals Assists IIG Rating
1N. Fernández MercauFW · Argentina 25 27 2427 15 4 0.70 7.82
2A. OjedaMF · Argentina 21 28 2307 5 10 0.59 7.04
3M. MoralezMF · Argentina 38 14 1137 1 6 0.55 6.94
4H. WolfMF · Austria 26 22 1460 6 2 0.49 6.86
5A. PereaMF · USA 25 18 1334 2 1 0.20 6.77
6K. ParksMF · USA 29 18 1100 2 0 0.16 6.78
7T. GrayDF · Jamaica 23 24 2089 1 1 0.09 6.84
8J. SandsDF · USA 25 13 1152 1 0 0.08 6.82
9A. O'NeillMF · Australia 27 16 1189 0 1 0.08 6.98
10M. FreeseGK · USA 27 27 2459 0 0 — 7.01
11K. TrewinDF · Australia 24 15 1275 0 0 — 6.95
12Thiago MartinsDF · Brazil 30 24 2157 0 0 — 6.92
13Raul GustavoDF · Brazil 26 22 1420 0 0 — 6.82
14Nico CavalloDF · USA 24 17 1271 0 0 — 6.66
15K. O'TooleDF · USA 27 19 1325 0 0 — 6.37

Click any column header to re-sort the squad.

What each column means
Age · Age
Years old. With similar numbers, a younger player has more room to grow.
GP · Games played
Matches he has appeared in this season, as a starter or off the bench.
Min · Minutes played
Total minutes on the pitch. The denominator of every per-90 metric.
Goals · Goals
Goals scored in the competition shown. Penalties included, as in any official table.
Assists · Assists
Passes that lead directly to a team-mate scoring.
IIG · Goal Impact Index
IIG = (goals + assists) × 90 ÷ minutes × league coefficient. It measures goal involvement per 90 minutes and weights it by how hard the competition is, using the same coefficient as the European Golden Shoe (×2 for UEFA's five best leagues, ×1.5 for those ranked 6th to 21st, ×1 for the rest). Only computed from 450 minutes up: below five full games a per-90 rate means nothing. Above 2.00 is elite.
Rating · Average match rating
The average of the rating API-Football assigns to each of the player's matches, on a 0-10 scale where 6 is an average game. Their own algorithm computes it from in-match actions (passes, duels, shots, errors) and the weights are not published: it is third-party data shown as-is, not a calculation of ours. It is what makes non-scorers — midfielders, defenders and goalkeepers — comparable, where nothing better exists.

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