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AI DNA Similarity

Best Alternatives to Mads Juel Andersen

Players most similar to Mads Juel Andersen (Defender, €1.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Mads Juel Andersen

  1. 1.Joachim Andersen88% DNA match·Fulham€25.0M
  2. 2.Andreas Hanche-Olsen84% DNA match·FSV Mainz 05€5.0M
  3. 3.Dan Ballard83% DNA match·Sunderland€20.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 5%

Andersen is a paradox of a center-half, operating as a high-volume ball distributor who carries a...

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Playing Style Analysis

Ball-Playing CBBall-PlayingAerial

Andersen is a paradox of a center-half, operating as a high-volume ball distributor who carries a genuine goal threat despite displaying a puzzling vulnerability in the air. While his 56.1 passes per 90 place him in the league’s top 30%, suggesting a player comfortable dictating from the back, his 37.5% aerial win rate is a glaring red flag for a League One defender. The counterintuitive insight lies in his volume versus efficiency: he wins 4.69 aerials per 90—putting him in the top tier for quantity—yet his poor win percentage proves he is a magnet for long balls he cannot actually control. The three most similar players to Mads Juel Andersen by playing style are:

  • Joachim Andersen(88% match)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.
  • Andreas Hanche-Olsen(84% 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.
  • Dan Ballard(83% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (7.8 clearances/90), wins the physical battle (59% duel success), strong in aerial duels (4.4 aerials won/90) and uses long balls frequently (6.6/90).

Transfer Intelligence

Joachim Andersen delivers 88% of the same playing style, at a 2400% premium over Mads Juel Andersen, with 1.41 tackles won per 90 at age 29.

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

M
Comparison Base
Mads Juel Andersen
DefenderDenmark€1.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
J
Joachim Andersen
Fulham · Premier League
Denmark29yContract 2029
Tkl/901.41
KP/900.22
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Andersen: €24M more expensive
88% match
€25.0M
#2
A
Andreas Hanche-Olsen
FSV Mainz 05 · Bundesliga
Norway29yContract 2028
Tkl/901.05
KP/900.21
Ball-Playing CBAerial
84% match
€5.0M
#3
D
Dan Ballard
Sunderland · Premier League
Northern Ireland26yContract 2028
Tkl/901.38
KP/900.67
Ball-Playing CBAerial
Last 5: → Stable
vs Andersen: €19M more expensive · 2y younger
83% match
€20.0M
#4
M
M. Jensen
Sønderjyske Fodbold · Superliga
Denmark29yContract 2026
Tkl/900.87
KP/900.13
Ball-Playing CBBall-Playing
Last 5: → Stable
83% match
€12.0M
#5
D
David Møller Wolfe
Wolverhampton Wanderers · Premier League
Norway24yContract 2030
Tkl/900.91
KP/900.81
Active Full-BackSmall Sample
Last 5: ↑ Hot
84% match
€10.0M
#6
J
Jake O'Brien
Everton · Premier League
Republic of Ireland24yContract 2028
Tkl/901.66
KP/900.48
Aerial
Last 5: → Stable
83% match
€16.0M
#7
O
Oliver Provstgaard
Lazio · Serie A
Denmark22yContract 2029
Tkl/900.55
KP/900.41
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
83% match
€4.5M
#8
M
Mohamed Abdelmonem 
Nice · Ligue 1
Egypt27yContract 2028
Tkl/902.11
KP/900.00
Ball-Playing CBAerial
83% match
€3.0M
#9
P
Pedro Lima
Wolverhampton Wanderers · Premier League
Brazil19yContract 2029
Tkl/902.49
KP/901.07
Small Sample
Last 5: → Stable
83% match
€4.0M
#10
J
Jesper Daland
Fortuna Düsseldorf · Bundesliga
Norway26y
Tkl/901.05
KP/900.23
Ball-Playing CBAerial
Last 5: ↑ Hot
83% match
€4.1M
#11
G
Gustaf Lagerbielke
Sporting Braga · Liga Portugal
Sweden26yContract 2030
Tkl/901.02
KP/900.31
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
83% match
€5.0M
#12
A
Abdul Mumin
Rayo Vallecano · La Liga
Ghana27yContract 2026
Tkl/901.82
KP/900.05
Ball-Playing CBAerial
82% match
€4.0M

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 Mads Juel Andersen.

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Frequently Asked Questions

Who are the best alternatives to Mads Juel Andersen?
The top alternatives to Mads Juel Andersen based on AI DNA playing style analysis include: Joachim Andersen, Andreas Hanche-Olsen, Dan Ballard, M. Jensen, David Møller Wolfe. 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 Mads Juel Andersen in 2026?
Players with a similar profile to Mads Juel Andersen in 2026 include Joachim Andersen (€25.0M), Andreas Hanche-Olsen (€5.0M), Dan Ballard (€20.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Mads Juel Andersen play and who plays similarly?
Mads Juel Andersen plays as a Defender. Players with a comparable positional profile include Joachim Andersen (Denmark, €25.0M); Andreas Hanche-Olsen (Norway, €5.0M); Dan Ballard (Northern Ireland, €20.0M); M. Jensen (Denmark, €12.0M).
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.