Per-90 performance rankings · Rising Transfers DNA Analysis · 25 players ranked
Based on per-90 statistics across 25 Bundesliga forwards in 2025/26, Harry Kane leads the ranking as a Complete Forward with a composite score of 1.27. Deniz Undav (Complete Forward) ranks second at 1.00, followed by Michael Olise (Inside Forward) at 0.97. All rankings are calculated using Rising Transfers' 47-dimension per-90 analysis methodology.
Methodology: Per-90 stats explained · DNA matching
31 games · England
29 games · Germany
| # | Player | Style | Goals/90 | Ast/90 | Shots/90 | Games | |
|---|---|---|---|---|---|---|---|
| 1 | Harry Kane | Complete Forward | 1.36 | 0.19 | 4.50 | 31 | Similar → |
| 2 | Deniz Undav | Complete Forward | 0.76 | 0.28 | 4.88 | 29 | Similar → |
| 3 | Michael Olise | Inside Forward | 0.58 | 0.74 | 3.93 | 32 | Similar → |
| 4 | Luis Díaz | Inside Forward | 0.58 | 0.51 | 3.19 | 32 | Similar → |
| 5 | Patrik Schick | Complete Forward | 0.72 | 0.14 | 3.25 | 28 | Similar → |
| 6 | Serhou Guirassy | Target Man | 0.65 | 0.08 | 3.22 | 33 | Similar → |
| 7 | Ermedin Demirovic | Poacher | 0.72 | 0.18 | 2.46 | 25 | Similar → |
| 8 | Igor Matanovic | Target Man | 0.63 | 0.12 | 3.00 | 31 | Similar → |
| 9 | Fisnik Asllani | Complete Forward | 0.38 | 0.30 | 2.79 | 33 | Similar → |
| 10 | Chris Führich | Inside Forward | 0.37 | 0.37 | 2.38 | 33 | Similar → |
| 11 | Ragnar Ache | Target Man | 0.39 | 0.22 | 2.75 | 28 | Similar → |
| 12 | Haris Tabakovic | Target Man | 0.48 | 0.07 | 2.49 | 32 | Similar → |
| 13 | Andrej Ilic | Target Man | 0.20 | 0.40 | 2.87 | 32 | Similar → |
| 14 | Mohamed Amoura | Complete Forward | 0.37 | 0.14 | 2.80 | 30 | Similar → |
| 15 | Maximilian Beier | Complete Forward | 0.40 | 0.27 | 2.21 | 32 | Similar → |
| 16 | Marius Bülter | Complete Forward | 0.29 | 0.24 | 2.42 | 31 | Similar → |
| 17 | Tim Lemperle | Complete Forward | 0.37 | 0.09 | 2.43 | 29 | Similar → |
| 18 | Phillip Tietz | Target Man | 0.28 | 0.17 | 2.56 | 19 | Similar → |
| 19 | Jamie Leweling | Complete Forward | 0.27 | 0.34 | 1.85 | 32 | Similar → |
| 20 | Arnaud Kalimuendo | Complete Forward | 0.38 | 0.06 | 1.90 | 19 | Similar → |
| 21 | Justin Njinmah | Forward | 0.23 | 0.00 | 2.86 | 33 | Similar → |
| 22 | Oliver Burke | Complete Forward | 0.32 | 0.11 | 1.77 | 29 | Similar → |
| 23 | Yuito Suzuki | Complete Forward | 0.22 | 0.17 | 2.09 | 25 | Similar → |
| 24 | Ransford Königsdörffer | Forward | 0.19 | 0.08 | 2.48 | 33 | Similar → |
| 25 | Jakub Kamiński | Forward | 0.21 | 0.09 | 1.89 | 33 | Similar → |
KP = Key passes · TW = Tackles won · Int = Interceptions · Clr = Clearances · GC = Goals conceded
Based on per-90 data in 2025/26, Harry Kane is the top-ranked forward in the Bundesliga. Harry Kane 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 Bundesliga season.
Rankings are generated by Rising Transfers using per-90 statistics from the 2025/26 Bundesliga 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.
