RisingTransfers
AI DNA Similarity

Best Alternatives to Pierre-Emile Højbjerg

Players most similar to Pierre-Emile Højbjerg (Midfielder, €18.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Pierre-Emile Højbjerg

  1. 1.Nabil Bentaleb88% DNA match·LOSC Lille€5.0M
  2. 2.Morten Hjulmand86% DNA match·Sporting CP€45.0M
  3. 3.Mathias Jensen87% DNA match·Brøndby IF€12.0M

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

RT

Intelligence Verdict

ShotsTop 20%
???Bottom 21%

A Metronome....

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Playing Style Analysis

MetronomeSmall Sample

A Metronome. Statistically, he stands out as meticulous in distribution (92% pass accuracy), heavily involved in possession (80 passes/90), penetrates with forward passing (11.3 final-third passes/90), central to possession (91 touches/90) and active off the ball (2.5 press score/90), contributing to defensive transitions. Note: this profile is based on 839 minutes of playing time this season. The three most similar players to Pierre-Emile Højbjerg by playing style are:

  • Nabil Bentaleb(88% match)A Metronome. Statistically, he stands out as naturally left-footed, a reliable supplier (0.17 assists/90), meticulous in distribution (88% pass accuracy), heavily involved in possession (65 passes/90), penetrates with forward passing (11.9 final-third passes/90), central to possession (79 touches/90), switches play with precision (6.3 long balls/90, 62% accuracy) and active off the ball (2.5 press score/90), contributing to defensive transitions.
  • 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.
  • Mathias Jensen(87% 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

Nabil Bentaleb delivers 88% of the same playing style, at 72% lower cost (€5.0M vs €18.0M), with 1.15 key passes per 90 at age 31.

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

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Comparison Base
Pierre-Emile Højbjerg
MidfielderDenmark€18.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
N
Nabil Bentaleb
LOSC Lille · Ligue 1
Algeria31yContract 2026
KP/901.15
G/900.00
Metronome
Last 5: ↓ Dip
vs Højbjerg: €13M cheaper
88% match
€5.0M
#2
M
Morten Hjulmand
Sporting CP · Liga Portugal
Denmark26yContract 2028
KP/901.13
G/900.08
Metronome
Last 5: → Stable
vs Højbjerg: €27M more expensive · 4y younger
86% match
€45.0M
#3
M
Mathias Jensen
Brøndby IF · Superliga
Denmark21yContract 2027
KP/901.44
G/900.00
CreatorCreative
Last 5: → Stable
vs Højbjerg: €6M cheaper · 9y younger
87% match
€12.0M
#4
R
Rodrigo Bentancur  
Tottenham Hotspur · Premier League
Uruguay28yContract 2026
KP/900.52
G/900.05
Ball-WinnerDefensive
Last 5: ↓ Dip
86% match
€22.0M
#5
M
Mathias Jensen
Brentford · Premier League
Denmark30yContract 2026
KP/901.36
G/900.13
Creator
Last 5: ↑ Hot
86% match
€12.0M
#6
C
Charles Vanhoutte
Nice · Ligue 1
Belgium27yContract 2029
KP/902.40
G/900.00
Box-to-Box
86% match
€7.0M
#7
K
Khéphren Thuram
Juventus · Serie A
France25yContract 2029
KP/901.22
G/900.00
Chance Creator
86% match
€40.0M
#8
A
Aurélien Tchouaméni
Real Madrid · La Liga
France26yContract 2028
KP/900.70
G/900.06
Metronome
Last 5: ↓ Dip
85% match
€75.0M
#9
P
Pape Demba Diop
Toulouse · Ligue 1
Senegal22yContract 2026
KP/900.92
G/900.00
Box-to-BoxSmall Sample
85% match
€4.0M
#10
V
Valentin Rongier  
Rennes · Ligue 1
France31yContract 2028
KP/901.08
G/900.08
Metronome
Last 5: ↓ Dip
85% match
€9.0M
#11
M
Manuel Locatelli
Juventus · Serie A
Italy28yContract 2028
KP/901.88
G/900.00
MetronomeDefensive
Last 5: ↓ Dip
85% match
€25.0M
#12
K
Kévin Danois
Auxerre · Ligue 1
France21yContract 2029
KP/901.64
G/900.07
Box-to-BoxCreative
Last 5: ↓ Dip
85% match
€10.0M

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 Pierre-Emile Højbjerg.

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Frequently Asked Questions

Who are the best alternatives to Pierre-Emile Højbjerg?
The top alternatives to Pierre-Emile Højbjerg based on AI DNA playing style analysis include: Nabil Bentaleb, Morten Hjulmand, Mathias Jensen, Rodrigo Bentancur  , Mathias Jensen. 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 Pierre-Emile Højbjerg in 2026?
Players with a similar profile to Pierre-Emile Højbjerg in 2026 include Nabil Bentaleb (€5.0M), 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 Pierre-Emile Højbjerg play and who plays similarly?
Pierre-Emile Højbjerg plays as a Midfielder. Players with a comparable positional profile include Nabil Bentaleb (Algeria, €5.0M); Morten Hjulmand (Denmark, €45.0M); Mathias Jensen (Denmark, €12.0M); Rodrigo Bentancur   (Uruguay, €22.0M).
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.