RisingTransfers
AI DNA Similarity

Best Alternatives to Nicklas Røjkjær

Players most similar to Nicklas Røjkjær (Midfielder, €1.6M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Nicklas Røjkjær

  1. 1.M. Madsen86% DNA match·FC København€4.0M
  2. 2.Morten Hjulmand85% DNA match·Sporting CP€45.0M
  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

Key PassesTop 13%
???Bottom 19%

A Metronome....

See Full Verdict + Share Card →

Playing Style Analysis

MetronomeCreative

A Metronome. Statistically, he stands out as an elite creator (1.7 key passes/90), a reliable supplier (0.18 assists/90), active in the tackle (1.9 tackles/90), meticulous in distribution (91% pass accuracy), heavily involved in possession (62 passes/90), central to possession (78 touches/90), active off the ball (2.1 press score/90), contributing to defensive transitions and top 20% creator in the league. The three most similar players to Nicklas Røjkjær by playing style are:

  • M. Madsen(86% match)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.
  • Morten Hjulmand(85% 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.
  • 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

M. Madsen delivers 86% of the same playing style, at a 142% premium over Nicklas Røjkjær, with 0.67 key passes per 90 at age 28.

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

N
Comparison Base
Nicklas Røjkjær
MidfielderDenmark€1.6M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
M
M. Madsen
FC København · Superliga
Denmark28yContract 2028
KP/900.67
G/900.00
CreatorCreative
Last 5: ↑ Hot
86% match
€4.0M
#2
M
Morten Hjulmand
Sporting CP · Liga Portugal
Denmark26yContract 2028
KP/901.13
G/900.08
Metronome
Last 5: → Stable
vs Røjkjær: €43M more expensive
85% match
€45.0M
#3
M
Mathias Jensen
Brøndby IF · Superliga
Denmark21yContract 2027
KP/901.44
G/900.00
CreatorCreative
Last 5: → Stable
vs Røjkjær: €10M more expensive · 6y younger
86% match
€12.0M
#4
O
Oscar Højlund
Eintracht Frankfurt · Bundesliga
Denmark21yContract 2029
KP/900.32
G/900.00
Balanced MidfielderDefensive
85% match
€7.5M
#5
R
Ramiz Zerrouki
FC Twente · Eredivisie
Algeria27y
KP/901.56
G/900.11
MetronomeCreative
Last 5: ↑ Hot
84% match
€7.2M
#6
P
Pierre-Emile Højbjerg
Olympique Marseille · Ligue 1
Denmark30yContract 2028
KP/901.07
G/900.11
MetronomeSmall Sample
85% match
€18.0M
#7
D
Dani Silva
FC Midtjylland · Superliga
Portugal26yContract 2029
KP/901.19
G/900.00
Balanced MidfielderSmall Sample
85% match
€3.5M
#8
K
Kévin Danois
Auxerre · Ligue 1
France21yContract 2029
KP/901.64
G/900.07
Box-to-BoxCreative
Last 5: ↓ Dip
84% match
€10.0M
#9
V
Victor Froholdt
Porto · Liga Portugal
Denmark20yContract 2030
KP/900.97
G/900.19
Balanced Midfielder
Last 5: ↓ Dip
84% match
€30.0M
#10
M
Michel Aebischer
Pisa · Serie A
Switzerland29yContract 2026
KP/901.05
G/900.00
Balanced Midfielder
Last 5: ↑ Hot
84% match
€4.0M
#11
M
Magnus Mattsson
FC København · Superliga
Denmark27yContract 2028
KP/902.56
G/900.39
CreatorCreative
84% match
€4.3M
#12
A
Albert Grønbæk
Hamburger SV · Serie A
Denmark24yContract 2026
KP/900.86
G/900.29
CreatorCreative
84% match
€8.0M

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 Nicklas Røjkjær.

Ask AI about Nicklas Røjkjær

Frequently Asked Questions

Who are the best alternatives to Nicklas Røjkjær?
The top alternatives to Nicklas Røjkjær based on AI DNA playing style analysis include: M. Madsen, Morten Hjulmand, Mathias Jensen, Oscar Højlund, Ramiz Zerrouki. 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 Nicklas Røjkjær in 2026?
Players with a similar profile to Nicklas Røjkjær in 2026 include M. Madsen (€4.0M), Morten Hjulmand (€45.0M), 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 Nicklas Røjkjær play and who plays similarly?
Nicklas Røjkjær plays as a Midfielder. Players with a comparable positional profile include M. Madsen (Denmark, €4.0M); Morten Hjulmand (Denmark, €45.0M); Mathias Jensen (Denmark, €12.0M); Oscar Højlund (Denmark, €7.5M).
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.