xgEdge

Superliga (Denmark) xG leaders 2026/2027

Every Superliga (Denmark) player ranked on the expected goals of the chances he took, with how many shots that took, what the average one was worth and the goals that came of them.

Ísak Snær Þorvaldsson has taken the best chances in the competition, 5.71 expected goals from 725 minutes. That is 2.37 clear of Noah Ganaus.

Showing 1–50 of 295 players

Superliga (Denmark) xG leaders 2026/2027
# Player Club Min Shots xG npxG xG/shot xG/90 G
1 Ísak Snær Þorvaldsson Lyngby 725 25 5.71 4.89 0.23 0.71 3
2 Noah Ganaus Odense Boldklub 721 22 3.34 3.34 0.15 0.42 2
3 Hjalte Boe Rasmussen FC Nordsjælland 332 12 3.28 3.28 0.27 0.89 3
4 Mohamed Elyounoussi FC København 703 25 3.17 3.17 0.13 0.41 6
5 Ibrahim Adel FC Nordsjælland 485 20 2.98 2.98 0.15 0.55 1
6 Stanley Iheanacho FC Midtjylland 371 15 2.90 2.90 0.19 0.70 3
7 Simon Colyn Lyngby 722 25 2.89 2.07 0.12 0.36 3
8 Runar Robinsonn Norheim FC Nordsjælland 751 13 2.70 2.70 0.21 0.32 1
9 Kelvin Ehibhatiomhan AC Horsens 615 19 2.65 2.65 0.14 0.39 4
10 Janni Serra AGF 337 13 2.61 2.61 0.20 0.70 3
11 Dorian Hanza Viborg FF 734 17 2.56 2.56 0.15 0.31 3
12 Friday Etim FC Midtjylland 521 21 2.47 2.47 0.12 0.43 4
13 Alexander Lind FC Nordsjælland 401 10 2.44 2.44 0.24 0.55 3
13 Charly Nouck Viborg FF 674 21 2.44 2.44 0.12 0.33 3
15 Kristian Arnstad AGF 746 11 2.18 0.54 0.20 0.26 2
16 Mohamed Sankoh Randers FC 327 9 2.14 2.14 0.24 0.59 3
17 James Bogere AGF 359 16 2.05 2.05 0.13 0.51 1
18 Prince Amoako Junior FC Nordsjælland 477 27 2.03 2.03 0.08 0.38 0
19 Adam Kleis-Kristoffersen Viborg FF 90 7 2.02 2.02 0.29 2.02 1
20 Oliver Ross Silkeborg IF 552 16 1.94 1.94 0.12 0.32 3
21 Mohamed Cherif Haidara Sønderjyske Fodbold 768 22 1.93 1.93 0.09 0.23 4
22 Robert FC København 614 23 1.82 1.82 0.08 0.27 1
23 Alexander Ahl Holmström Odense Boldklub 257 11 1.63 1.63 0.15 0.57 1
23 William Kirk Silkeborg IF 573 13 1.63 1.63 0.13 0.26 1
25 Viktor Bjarki Dadason FC København 320 12 1.51 1.51 0.13 0.42 1
26 Marcus Younis Brøndby IF 588 16 1.48 1.48 0.09 0.23 1
27 Mike Themsen Randers FC 726 21 1.46 1.46 0.07 0.18 3
28 Mads Frøkjær Brøndby IF 766 20 1.43 1.43 0.07 0.17 2
29 Olti Hyseni Sønderjyske Fodbold 449 22 1.41 1.41 0.06 0.28 2
30 Andreas Cornelius FC København 249 6 1.37 1.37 0.23 0.50 1
31 Marvin Nasnas FC København 131 5 1.36 1.36 0.27 0.93 1
31 Ismaïl Seydi Sønderjyske Fodbold 410 9 1.36 1.36 0.15 0.30 2
31 Rami Al Hajj Silkeborg IF 611 9 1.36 0.54 0.15 0.20 1
34 Villum Berthelsen FC Nordsjælland 397 13 1.33 1.33 0.10 0.30 1
34 Mads Søndergaard Viborg FF 486 14 1.33 1.33 0.10 0.25 3
36 Topi Keskinen Odense Boldklub 723 24 1.30 1.30 0.05 0.16 1
37 Kasper Junker Randers FC 431 8 1.25 1.25 0.16 0.26 1
38 Patrick Mortensen Brøndby IF 275 11 1.22 1.22 0.11 0.40 1
38 Oskar Fenger Brøndby IF 331 4 1.22 1.22 — 0.33 1
38 Rasmus Carstensen AGF 353 10 1.22 1.22 0.12 0.31 1
41 Jacob Bonde AC Horsens 357 10 1.21 1.21 0.12 0.31 2
42 Asker Beck Viborg FF 666 15 1.12 1.12 0.07 0.15 3
43 Adrian Justinussen AC Horsens 481 10 1.11 0.29 0.11 0.21 2
44 Asger Sørensen FC København 452 3 1.10 1.10 — 0.22 1
45 Frederik Gytkjær Lyngby 137 4 1.08 0.26 — 0.71 1
45 Julius Madsen AC Horsens 787 14 1.08 1.08 0.08 0.12 0
47 Yamirou Ouorou AC Horsens 523 13 1.07 1.07 0.08 0.18 2
47 Sebastian Jørgensen AGF 549 17 1.07 1.07 0.06 0.18 0
49 Mads Emil Madsen FC København 460 13 1.04 1.04 0.08 0.20 2
50 Gue-sung Cho FC Midtjylland 514 10 1.03 1.03 0.10 0.18 1
  • goals 2+ above xG
  • under 90 minutes
About these figures What each column counts, and which feed it was counted from. Show
Min
Minutes played.
Shots
Shots he has taken in this competition this season.
xG
Expected goals: the quality of the chances he took, summed.
npxG
Expected goals with penalties taken out.
xG/shot
Expected goals per shot taken — the average chance he gets on the end of. Shown from 5 shots.
xG/90
Expected goals per 90 minutes played.
G
Goals scored, penalties included.

Appearances, minutes, goals, assists and shots on this page are summed over the Superliga (Denmark) matches we hold per-player figures for — the same matches the expected figures are summed over, so the two can be read against each other.

Learn how xgEdge calculates these figures →