ES
🇹🇷 Süper Lig · 2026/27

Gençlerbirliği S.K.

13 players with minutes this season and 6 goals between them. The top scorer is O. Ülgün with 1.

Team goals
6
in Süper Lig
Top scorer
O. Ülgün
1 goals · 17 % of the total
Best rated
İ. Eğribayat
7.89 · 7 GP
Youngest with minutes
Ousmane Diabate
18 yrs · 578 min
Player Age GP Min Goals Assists IIG Rating
1O. ÜlgünFW · Türkiye 27 6 473 1 1 0.57 6.63
2Ousmane DiabateMF · Guinea 18 7 578 1 1 0.47 6.87
3A. TraoréMF · Mali 30 6 462 1 0 0.29 6.97
4Tiago GouveiaMF · Portugal 25 6 500 0 1 0.27 6.82
5A. DursunDF · Türkiye 27 7 510 0 1 0.26 6.47
6F. TongyaMF · Italy 23 7 600 1 0 0.22 6.83
7D. GoutasDF · Greece 31 7 636 0 1 0.21 6.67
8İ. EğribayatGK · Türkiye 27 7 636 0 0 — 7.89
9Pedro PereiraDF · Portugal 28 6 540 0 0 — 6.55
10Thalisson KelvenDF · Brazil 27 4 361 1 0 — 6.68
11S. KoïtaFW · Mali 26 6 352 1 1 — 6.53
12Ž. ŽužekDF · Slovenia 29 3 270 0 0 — 7.13
13Pedro MendesFW · Portugal 27 4 264 0 0 — 6.3

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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