RisingTransfers
AI DNA Similarity

Best Alternatives to Marcus Mathisen

Players most similar to Marcus Mathisen (Defender, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Marcus Mathisen

  1. 1.Daniel Stenderup99% DNA match·Hvidovre
  2. 2.Jean Hugonet99% DNA match·Magdeburg
  3. 3.Marcus Kirchheiner99% DNA match·Aarhus Fremad

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

RT

Intelligence Verdict

InterceptionsTop 1%

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 active in the tackle (1.9 tackles/90), commanding in the air (6.6 clearances/90), reads the game exceptionally (1.8 interceptions/90), wins the physical battle (56% duel success), heavily involved in possession (65 passes/90), penetrates with forward passing (11.2 final-third passes/90), central to possession (82 touches/90), uses long balls frequently (12.7/90) and active off the ball (2.7 press score/90), contributing to defensive transitions. The three most similar players to Marcus Mathisen by playing style are:

  • Daniel Stenderup(99% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (4.7 clearances/90), reads the game exceptionally (1.6 interceptions/90), wins the physical battle (66% duel success), penetrates with forward passing (9.5 final-third passes/90), uses long balls frequently (9.3/90) and active off the ball (2.6 press score/90), contributing to defensive transitions.
  • Jean Hugonet(99% match)A Ball-Playing CB. Statistically, he stands out as active in the tackle (1.8 tackles/90), commanding in the air (8.2 clearances/90), meticulous in distribution (85% pass accuracy), wins the physical battle (66% duel success), heavily involved in possession (63 passes/90), penetrates with forward passing (8.6 final-third passes/90), central to possession (83 touches/90), dominant in the air (3.9 aerials won/90, 65%), uses long balls frequently (10.5/90) and active off the ball (2.4 press score/90), contributing to defensive transitions.
  • Marcus Kirchheiner(99% match)A Ball-Playing CB. Statistically, he stands out as active in the tackle (2.1 tackles/90), commanding in the air (4.6 clearances/90), wins the physical battle (61% duel success), penetrates with forward passing (11.8 final-third passes/90), central to possession (78 touches/90), uses long balls frequently (9.7/90) and active off the ball (2.7 press score/90), contributing to defensive transitions.

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

M
Comparison Base
Marcus Mathisen
DefenderDenmarkN/A
Full profile →

Similar Players — Ranked by DNA Similarity

#1
D
Daniel Stenderup
Hvidovre · Superliga
Denmark36y
Tkl/901.83
KP/900.29
Ball-Playing CBAerial
Last 5: ↓ Dip
vs Mathisen: 6y older
99% match
N/A
#2
J
Jean Hugonet
Magdeburg · Bundesliga
France26y
Tkl/902.00
KP/900.60
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
vs Mathisen: 4y younger
99% match
N/A
#3
M
Marcus Kirchheiner
Aarhus Fremad · Superliga
Denmark29y
Tkl/902.00
KP/900.89
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
99% match
N/A
#4
C
Christ Tapé
Horsens · Superliga
Ivory Coast20yContract 2028
Tkl/901.56
KP/900.36
Ball-Playing CBAerial
Last 5: ↑ Hot
99% match
N/A
#5
R
R. Møller
Hillerød · Superliga
Denmark26y
Tkl/901.18
KP/900.21
Ball-Playing CBBall-Playing
99% match
N/A
#6
R
Reno Münz
SpVgg Greuther Fürth · Bundesliga
Germany20y
Tkl/901.89
KP/900.33
Ball-Playing CBBall-Playing
Last 5: → Stable
99% match
N/A
#7
A
Adrián Dela
Levante · La Liga
Spain27y
Tkl/901.05
KP/900.65
Ball-Playing CBAerial
Last 5: → Stable
99% match
N/A
#8
G
G. Arndal-Lauritzen
Hillerød · Superliga
Denmark28y
Tkl/901.04
KP/900.35
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
99% match
N/A
#9
D
Daníel Leó Grétarsson
Sønderjyske Fodbold · Superliga
Iceland30yContract 2027
Tkl/902.61
KP/901.10
Ball-Playing CBAerial
Last 5: → Stable
99% match
N/A
#10
W
Wessel Dammers
Randers FC · Superliga
Netherlands31yContract 2026
Tkl/900.86
KP/900.14
Ball-Playing CBBall-Playing
Last 5: → Stable
99% match
N/A
#11
J
J. Witt
Hillerød · Superliga
Denmark33y
Tkl/900.88
KP/900.33
Ball-Playing CBBall-Playing
Last 5: → Stable
99% match
N/A
#12
A
Andreas Heimer
B 93 · Superliga
Denmark28y
Tkl/901.79
KP/900.36
Ball-Playing CBBall-Playing
Last 5: → Stable
99% match
N/A

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 Marcus Mathisen.

Ask AI about Marcus Mathisen

Frequently Asked Questions

Who are the best alternatives to Marcus Mathisen?
The top alternatives to Marcus Mathisen based on AI DNA playing style analysis include: Daniel Stenderup, Jean Hugonet, Marcus Kirchheiner, Christ Tapé, R. Møller. 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 Marcus Mathisen in 2026?
Players with a similar profile to Marcus Mathisen in 2026 include Daniel Stenderup (N/A), Jean Hugonet (N/A), Marcus Kirchheiner (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Marcus Mathisen play and who plays similarly?
Marcus Mathisen plays as a Defender. Players with a comparable positional profile include Daniel Stenderup (Denmark, N/A); Jean Hugonet (France, N/A); Marcus Kirchheiner (Denmark, N/A); Christ Tapé (Ivory Coast, N/A).
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.