RisingTransfers
AI DNA Similarity

Best Alternatives to Joachim Andersen

Players most similar to Joachim Andersen (Defender, €25.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Joachim Andersen

  1. 1.Kristoffer Ajer88% DNA match·Brentford€18.0M
  2. 2.Marc Guéhi87% DNA match·Manchester City€65.0M
  3. 3.Andreas Hanche-Olsen87% DNA match·FSV Mainz 05€5.0M

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

RT

Intelligence Verdict

Aerials WonTop 16%
???Bottom 18%

A Ball-Playing CB....

See Full Verdict + Share Card →

Playing Style Analysis

Ball-Playing CBBall-PlayingAerial

A Ball-Playing CB. Statistically, he stands out as commanding in the air (7.2 clearances/90), meticulous in distribution (86% pass accuracy), wins the physical battle (63% duel success), heavily involved in possession (71 passes/90), penetrates with forward passing (10.1 final-third passes/90), central to possession (86 touches/90), uses long balls frequently (11.3/90) and active off the ball (2.0 press score/90), contributing to defensive transitions. The three most similar players to Joachim Andersen by playing style are:

  • Kristoffer Ajer(88% match)A Physical Stopper. Statistically, he stands out as active in the tackle (1.9 tackles/90) and commanding in the air (5.7 clearances/90).
  • Marc Guéhi(87% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.2 clearances/90), meticulous in distribution (85% pass accuracy), wins the physical battle (64% duel success), uses long balls frequently (6.3/90) and active off the ball (2.5 press score/90), contributing to defensive transitions.
  • Andreas Hanche-Olsen(87% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (8.8 clearances/90), reads the game exceptionally (1.6 interceptions/90), wins the physical battle (61% duel success), dominant in the air (5.5 aerials won/90, 66%) and uses long balls frequently (6.2/90). Note: this profile is based on 849 minutes of playing time this season.

Transfer Intelligence

Kristoffer Ajer delivers 88% of the same playing style, at 28% lower cost (€18.0M vs €25.0M), with 1.87 tackles won per 90 at age 28.

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

J
Comparison Base
Joachim Andersen
DefenderDenmark€25.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
K
Kristoffer Ajer
Brentford · Premier League
Norway28yContract 2028
Tkl/901.87
KP/900.26
Physical StopperAerial
Last 5: ↓ Dip
vs Andersen: €7M cheaper
88% match
€18.0M
#2
M
Marc Guéhi
Manchester City · Premier League
England25yContract 2026
Tkl/901.55
KP/900.45
Ball-Playing CBAerial
Last 5: → Stable
vs Andersen: €40M more expensive · 4y younger
87% match
€65.0M
#3
A
Andreas Hanche-Olsen
FSV Mainz 05 · Bundesliga
Norway29yContract 2028
Tkl/901.05
KP/900.21
Ball-Playing CBAerial
vs Andersen: €20M cheaper
87% match
€5.0M
#4
J
Jan Paul van Hecke
Brighton & Hove Albion · Premier League
Netherlands25yContract 2027
Tkl/901.54
KP/900.36
Ball-Playing CBBall-Playing
Last 5: → Stable
87% match
€35.0M
#5
J
J. Timber
Arsenal · Premier League
Netherlands24yContract 2028
Tkl/902.42
KP/900.99
Active Full-Back
Last 5: → Stable
87% match
€70.0M
#6
B
Bremer
Juventus · Serie A
Brazil29yContract 2029
Tkl/901.03
KP/900.21
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
87% match
€35.0M
#7
A
Andreas Christensen
FC Barcelona · La Liga
Denmark30yContract 2026
Tkl/900.65
KP/900.33
Ball-Playing CBBall-Playing
86% match
€9.0M
#8
M
Marcos Senesi
AFC Bournemouth · Premier League
Argentina29yContract 2026
Tkl/901.71
KP/900.69
Ball-Playing CBBall-Playing
Last 5: → Stable
86% match
€22.0M
#9
T
Trevoh Chalobah
Chelsea · Premier League
England26yContract 2028
Tkl/901.15
KP/900.16
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
86% match
€40.0M
#10
L
Ladislav Krejci
Wolverhampton Wanderers · Premier League
Czech Republic27yContract 2026
Tkl/901.10
KP/900.33
Ball-Playing CBAerial
Last 5: ↑ Hot
86% match
€22.0M
#11
V
Victor Lindelöf
Aston Villa · Premier League
Sweden31yContract 2027
Tkl/900.66
KP/900.22
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
86% match
€6.0M
#12
C
Calvin Bassey
Fulham · Premier League
Nigeria26yContract 2027
Tkl/902.22
KP/900.34
Ball-Playing CBBall-Playing
Last 5: → Stable
85% match
€28.0M

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 Joachim Andersen.

Ask AI about Joachim Andersen

Frequently Asked Questions

Who are the best alternatives to Joachim Andersen?
The top alternatives to Joachim Andersen based on AI DNA playing style analysis include: Kristoffer Ajer, Marc Guéhi, Andreas Hanche-Olsen, Jan Paul van Hecke, J. Timber. 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 Joachim Andersen in 2026?
Players with a similar profile to Joachim Andersen in 2026 include Kristoffer Ajer (€18.0M), Marc Guéhi (€65.0M), Andreas Hanche-Olsen (€5.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Joachim Andersen play and who plays similarly?
Joachim Andersen plays as a Defender. Players with a comparable positional profile include Kristoffer Ajer (Norway, €18.0M); Marc Guéhi (England, €65.0M); Andreas Hanche-Olsen (Norway, €5.0M); Jan Paul van Hecke (Netherlands, €35.0M).
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.