RisingTransfers
AI DNA Similarity

Best Alternatives to M. Madsen

Players most similar to M. Madsen (Midfielder, €4.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to M. Madsen

  1. 1.Morten Hjulmand86% DNA match·Sporting CP€45.0M
  2. 2.Oscar Højlund86% DNA match·Eintracht Frankfurt€7.5M
  3. 3.Mathias Jensen86% DNA match·Brøndby IF€12.0M

Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.

RT

Intelligence Verdict

???Bottom 0%

A Creator....

See Full Verdict + Share Card →

Playing Style Analysis

CreatorCreativeDefensive

A Creator. Statistically, he stands out as an elite creator (1.5 key passes/90), a regular goalscorer (0.20 goals/90), an aggressive ball-winner (3.3 tackles/90), heavily involved in play (67 touches/90), active off the ball (2.5 press score/90), contributing to defensive transitions and top 10% tackler in the league. The three most similar players to M. Madsen by playing style are:

  • Morten Hjulmand(86% match)Hjulmand is the kind of midfielder who wins football matches without ever appearing on a highlight reel—a defensive engine wrapped inside a genuine ball-progressor. Operating in Liga Portugal, he ranks in the top 5% for both duel win rate and press intensity, which tells you something important: this isn't selective aggression, it's sustained, systemic dominance across ninety minutes. His 89% pass accuracy and 8.11 progressive passes per ninety further expose the counterintuitive truth—the man built like a destroyer actually drives play forward more consistently than most creative midfielders in the division.
  • Oscar Højlund(86% match)A Balanced Midfielder. Statistically, he stands out as an aggressive ball-winner (2.6 tackles/90), meticulous in distribution (89% pass accuracy) and heavily involved in play (60 touches/90).
  • Mathias Jensen(86% match)A Creator. Statistically, he stands out as an elite creator (1.6 key passes/90), an aggressive ball-winner (3.2 tackles/90), reads the game exceptionally (2.5 interceptions/90), penetrates with forward passing (8.8 final-third passes/90), heavily involved in play (66 touches/90), a high-intensity presser (press score 3.1/90), constantly disrupting opposition build-up and top 20% creator in the league. However, he prone to committing fouls (2.8/90).

Transfer Intelligence

Morten Hjulmand delivers 86% of the same playing style, at a 1025% premium over M. Madsen, with 1.13 key passes per 90 at age 26.

Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →

M
Comparison Base
M. Madsen
MidfielderDenmark€4.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
M
Morten Hjulmand
Sporting CP · Liga Portugal
Denmark26yContract 2028
KP/901.13
G/900.08
Metronome
Last 5: → Stable
vs Madsen: €41M more expensive · 2y younger
86% match
€45.0M
#2
O
Oscar Højlund
Eintracht Frankfurt · Bundesliga
Denmark21yContract 2029
KP/900.32
G/900.00
Balanced MidfielderDefensive
vs Madsen: 7y younger
86% match
€7.5M
#3
M
Mathias Jensen
Brøndby IF · Superliga
Denmark21yContract 2027
KP/901.44
G/900.00
CreatorCreative
Last 5: → Stable
vs Madsen: €8M more expensive · 7y younger
86% match
€12.0M
#4
Y
Yannik Engelhardt
Borussia Mönchengladbach · Bundesliga
Germany25yContract 2026
KP/900.40
G/900.20
Box-to-BoxSmall Sample
85% match
€6.0M
#5
R
Robin Fellhauer
FC Augsburg · Bundesliga
Germany28yContract 2029
KP/900.68
G/900.10
Box-to-BoxSmall Sample
84% match
€3.0M
#6
N
Niklas Dorsch
Heidenheim · Bundesliga
Germany28yContract 2028
KP/901.03
G/900.00
Ball-WinnerDefensive
85% match
€3.0M
#7
I
Ibrahim Maza
Bayer 04 Leverkusen · Bundesliga
Algeria20yContract 2030
KP/901.49
G/900.00
Creator
Last 5: → Stable
84% match
€25.0M
#8
D
David Santos Daiber
FC Bayern München · Bundesliga
Portugal19yContract 2027
KP/901.50
G/900.00
Ball-WinnerCreative
84% match
€3.0M
#9
C
Christian Nørgaard
Arsenal · Premier League
Denmark32yContract 2027
KP/901.75
G/900.00
Ball-WinnerDefensive
Last 5: ↑ Hot
83% match
€9.0M
#10
L
Luis Engelns
TSG Hoffenheim · Bundesliga
Germany19yContract 2026
KP/900.63
G/900.21
Ball-WinnerSmall Sample
84% match
€4.0M
#11
H
Han-Noah Massengo
FC Augsburg · Bundesliga
France24yContract 2030
KP/900.69
G/900.00
Box-to-BoxSmall Sample
84% match
€5.0M
#12
A
Anton Kade
FC Augsburg · Bundesliga
Germany22yContract 2029
KP/901.41
G/900.31
CreatorCreative
84% match
€7.5M

Ask AI: Why are these players similar?

Our 768-dimension Player DNA model matches playing style, physical profile, pressing intensity, and tactical fit. Ask the AI to explain exactly what makes these players statistically similar to M. Madsen.

Ask AI about M. Madsen

Frequently Asked Questions

Who are the best alternatives to M. Madsen?
The top alternatives to M. Madsen based on AI DNA playing style analysis include: Morten Hjulmand, Oscar Højlund, Mathias Jensen, Yannik Engelhardt, Robin Fellhauer. These players were matched using Rising Transfers' 768-dimension DNA model across playing style, pressing intensity, and tactical fit — not just position or market value.
Which players are similar to M. Madsen in 2026?
Players with a similar profile to M. Madsen in 2026 include Morten Hjulmand (€45.0M), Oscar Højlund (€7.5M), Mathias Jensen (€12.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does M. Madsen play and who plays similarly?
M. Madsen plays as a Midfielder. Players with a comparable positional profile include Morten Hjulmand (Denmark, €45.0M); Oscar Højlund (Denmark, €7.5M); Mathias Jensen (Denmark, €12.0M); Yannik Engelhardt (Germany, €6.0M).
How does Rising Transfers find similar players?
Rising Transfers uses a proprietary 768-dimension Player DNA model trained on 3.2 million match events. Each player is represented as a vector across 35+ per-90 metrics including pressing intensity, passing footprint, dribbling profile, and defensive contribution. Similarity is measured using cosine distance — the same technique used in state-of-the-art AI systems — making it the most precise player comparison tool available publicly.