Per-90 performance rankings · Rising Transfers DNA Analysis · 25 players ranked
Based on per-90 statistics across 25 Premier League forwards in 2025/26, Erling Haaland leads the ranking as a Complete Forward with a composite score of 0.92. Hugo Ekitiké (Poacher) ranks second at 0.69, followed by Benjamin Sesko (Target Man) at 0.69. All rankings are calculated using Rising Transfers' 47-dimension per-90 analysis methodology.
Methodology: Per-90 stats explained · DNA matching
35 games · Norway
28 games · France
| # | Player | Style | Goals/90 | Ast/90 | Shots/90 | Games | |
|---|---|---|---|---|---|---|---|
| 1 | Erling Haaland | Complete Forward | 0.82 | 0.24 | 3.83 | 35 | Similar → |
| 2 | Hugo Ekitiké | Poacher | 0.55 | 0.20 | 3.23 | 28 | Similar → |
| 3 | Benjamin Sesko | Target Man | 0.60 | 0.06 | 3.35 | 30 | Similar → |
| 4 | Richarlison | Target Man | 0.51 | 0.23 | 2.85 | 32 | Similar → |
| 5 | Zian Flemming | Target Man | 0.56 | 0.05 | 2.69 | 29 | Similar → |
| 6 | Ollie Watkins | Poacher | 0.54 | 0.10 | 2.62 | 37 | Similar → |
| 7 | João Pedro | Target Man | 0.51 | 0.17 | 2.46 | 35 | Similar → |
| 8 | Antoine Semenyo | Inside Forward | 0.50 | 0.15 | 2.45 | 20 | Similar → |
| 9 | Igor Thiago | Target Man | 0.60 | 0.03 | 2.30 | 38 | Similar → |
| 10 | Beto | Target Man | 0.52 | 0.06 | 2.47 | 37 | Similar → |
| 11 | Mohamed Salah | Inside Forward | 0.29 | 0.29 | 2.85 | 27 | Similar → |
| 12 | Raúl Jiménez | Target Man | 0.37 | 0.12 | 3.03 | 36 | Similar → |
| 13 | Matheus Cunha | Complete Forward | 0.36 | 0.07 | 3.24 | 33 | Similar → |
| 14 | Viktor Gyökeres | Poacher | 0.56 | 0.04 | 2.22 | 36 | Similar → |
| 15 | Taty Castellanos | Complete Forward | 0.39 | 0.00 | 3.22 | 18 | Similar → |
| 16 | Bukayo Saka | Inside Forward | 0.28 | 0.24 | 2.87 | 31 | Similar → |
| 17 | Harry Wilson | Inside Forward | 0.33 | 0.23 | 2.61 | 36 | Similar → |
| 18 | Jean-Philippe Mateta | Target Man | 0.49 | 0.00 | 2.55 | 32 | Similar → |
| 19 | Danny Welbeck | Poacher | 0.52 | 0.04 | 2.22 | 37 | Similar → |
| 20 | Dominic Calvert-Lewin | Target Man | 0.46 | 0.03 | 2.44 | 35 | Similar → |
| 21 | Bryan Mbeumo | Inside Forward | 0.38 | 0.10 | 2.50 | 33 | Similar → |
| 22 | Leandro Trossard | Complete Forward | 0.27 | 0.27 | 2.37 | 31 | Similar → |
| 23 | Noah Okafor | Inside Forward | 0.46 | 0.06 | 2.01 | 28 | Similar → |
| 24 | Cody Gakpo | Inside Forward | 0.23 | 0.16 | 2.85 | 36 | Similar → |
| 25 | Harvey Barnes | Inside Forward | 0.32 | 0.05 | 2.66 | 37 | Similar → |
KP = Key passes · TW = Tackles won · Int = Interceptions · Clr = Clearances · GC = Goals conceded
Based on per-90 data in 2025/26, Erling Haaland is the top-ranked forward in the Premier League. Erling Haaland is classified as a Complete Forward by Rising Transfers' DNA analysis system.
Rising Transfers ranks forwards using a composite per-90 score across key performance dimensions specific to the position. All statistics are normalised per 90 minutes of play to allow fair comparison between players with different minutes. Only players with 1,350+ minutes (equivalent to approximately 15 full matches) are included to ensure statistical reliability.
Each player is assigned a DNA archetype (e.g. Creator, Ball-Winner, Pressing Forward) based on their playing style vector — a 768-dimensional representation of their per-90 performance across 47 metrics. The archetype describes how the player plays, not just their position.
Rankings are recalculated weekly as new match data is processed into Rising Transfers' DNA pipeline. The underlying per-90 statistics are sourced from live match data across the Premier League season.
Rankings are generated by Rising Transfers using per-90 statistics from the 2025/26 Premier League season. Only players with 1,350+ minutes in the current season are included to ensure statistical reliability. Scores are computed using a position-specific composite formula across 47 performance dimensions. Data is refreshed weekly. Learn more about our methodology →
Some players may be excluded due to data availability (e.g. mid-season transfers, injury absences, or cup-only appearances). Rankings reflect on-pitch statistical performance and do not account for team defensive structure or shot quality — elite players on dominant teams may rank lower on volume-based metrics.