AI DNA Similarity
Best Alternatives to Andrew Hjulsager
Players most similar to Andrew Hjulsager (Midfielder, €1.8M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Andrew Hjulsager
- 1.Morten Hjulmand88% DNA match·Sporting CP€45.0M
- 2.Oscar Højlund86% DNA match·Eintracht Frankfurt€7.5M
- 3.Mikkel Damsgaard85% DNA match·Brentford€30.0M
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
Press IntensityTop 15%
???Bottom 14%
“A Ball-Winner....”
See Full Verdict + Share Card →Playing Style Analysis
Ball-WinnerDefensive
A Ball-Winner. Statistically, he stands out as a capable chance creator (1.4 key passes/90), a reliable supplier (0.24 assists/90), an aggressive ball-winner (3.0 tackles/90), wins the ball cleanly (1.9 successful tackles/90), heavily involved in play (57 touches/90) and active off the ball (2.9 press score/90), contributing to defensive transitions. The three most similar players to Andrew Hjulsager by playing style are:
- Morten Hjulmand(88% 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).
- Mikkel Damsgaard(85% match) — A Creator. Statistically, he stands out as an elite creator (1.7 key passes/90), a reliable supplier (0.18 assists/90), an aggressive ball-winner (2.6 tackles/90), creates high-quality scoring opportunities (0.55 big chances/90), heavily involved in play (61 touches/90), a high-intensity presser (press score 3.2/90), constantly disrupting opposition build-up and top 20% creator in the league.
Transfer Intelligence
Morten Hjulmand delivers 88% of the same playing style, at a 2400% premium over Andrew Hjulsager, 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 →
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: → Stablevs Hjulsager: €43M more expensive · 5y younger
88% match
€45.0M
#2
O
Oscar Højlund
Eintracht Frankfurt · Bundesliga
Denmark21yContract 2029
KP/900.32
G/900.00
Balanced MidfielderDefensive
vs Hjulsager: €6M more expensive · 10y younger
86% match
€7.5M
#3
M
Mikkel Damsgaard
Brentford · Premier League
Denmark25yContract 2030
KP/901.74
G/900.18
CreatorCreative
Last 5: → Stablevs Hjulsager: €28M more expensive · 6y younger
85% match
€30.0M
#4
M
Mikael Egill Ellertsson
Genoa · Serie A
Iceland24yContract 2029
KP/900.40
G/900.00
Balanced Midfielder
Last 5: ↓ Dip85% match
€3.5M
#5
M
M. Madsen
FC København · Superliga
Denmark28yContract 2028
KP/900.67
G/900.00
CreatorCreative
Last 5: ↑ Hot86% match
€4.0M
#6
O
Oliver Højer
FC København · Superliga
Denmark19yContract 2029
KP/900.94
G/900.00
Box-to-BoxSmall Sample
Last 5: ↓ Dip85% match
N/A
#7
M
Mathias Jensen
Brøndby IF · Superliga
Denmark21yContract 2027
KP/901.44
G/900.00
CreatorCreative
Last 5: → Stable85% match
€12.0M
#8
L
Luis Hasa
Napoli · Serie A
Italy22yContract 2026
KP/900.90
G/900.36
Box-to-Box
Last 5: ↑ Hot85% match
€3.0M
#9
J
Jens Odgaard
Bologna · Serie A
Denmark27yContract 2027
KP/900.76
G/900.33
CreatorSmall Sample
Last 5: ↑ Hot85% match
€15.0M
#10
J
Jari Vandeputte
Cremonese · Serie A
Belgium30y
KP/903.00
G/900.00
CreatorCreative
84% match
€3.3M
#11
V
Victor Froholdt
Porto · Liga Portugal
Denmark20yContract 2030
KP/900.97
G/900.19
Balanced Midfielder
Last 5: ↓ Dip84% match
€30.0M
#12
M
Mathias Jensen
Brentford · Premier League
Denmark30yContract 2026
KP/901.36
G/900.13
Creator
Last 5: ↑ Hot84% match
€12.0M
⬡
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 Andrew Hjulsager.
Ask AI about Andrew Hjulsager →Frequently Asked Questions
Who are the best alternatives to Andrew Hjulsager?▼
The top alternatives to Andrew Hjulsager based on AI DNA playing style analysis include: Morten Hjulmand, Oscar Højlund, Mikkel Damsgaard, Mikael Egill Ellertsson, M. Madsen. 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 Andrew Hjulsager in 2026?▼
Players with a similar profile to Andrew Hjulsager in 2026 include Morten Hjulmand (€45.0M), Oscar Højlund (€7.5M), Mikkel Damsgaard (€30.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Andrew Hjulsager play and who plays similarly?▼
Andrew Hjulsager plays as a Midfielder. Players with a comparable positional profile include Morten Hjulmand (Denmark, €45.0M); Oscar Højlund (Denmark, €7.5M); Mikkel Damsgaard (Denmark, €30.0M); Mikael Egill Ellertsson (Iceland, €3.5M).
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.