RisingTransfers
AI DNA Similarity

Best Alternatives to Mathias Jensen

Players most similar to Mathias Jensen (Midfielder, €12.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Mathias Jensen

  1. 1.Mathias Jensen94% DNA match·Brentford€12.0M
  2. 2.Morten Hjulmand87% DNA match·Sporting CP€45.0M
  3. 3.Pierre-Emile Højbjerg87% DNA match·Olympique Marseille€18.0M

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

RT

Intelligence Verdict

InterceptionsTop 0%
???Bottom 0%

A Creator....

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Playing Style Analysis

CreatorCreativeDefensiveSmall Sample

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). The three most similar players to Mathias Jensen by playing style are:

  • Mathias Jensen(94% match)A Creator. Statistically, he stands out as a capable chance creator (1.4 key passes/90), penetrates with forward passing (9.1 final-third passes/90), heavily involved in play (65 touches/90), uses long balls frequently (7.2/90) and active off the ball (2.4 press score/90), contributing to defensive transitions.
  • Morten Hjulmand(87% 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.
  • Pierre-Emile Højbjerg(87% match)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.

Transfer Intelligence

Mathias Jensen delivers 94% of the same playing style, with 1.36 key passes per 90 at age 30.

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

M
Comparison Base
Mathias Jensen
MidfielderDenmark€12.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
M
Mathias Jensen
Brentford · Premier League
Denmark30yContract 2026
KP/901.36
G/900.13
Creator
Last 5: ↑ Hot
vs Jensen: 9y older
94% match
€12.0M
#2
M
Morten Hjulmand
Sporting CP · Liga Portugal
Denmark26yContract 2028
KP/901.13
G/900.08
Metronome
Last 5: → Stable
vs Jensen: €33M more expensive · 5y older
87% match
€45.0M
#3
P
Pierre-Emile Højbjerg
Olympique Marseille · Ligue 1
Denmark30yContract 2028
KP/901.07
G/900.11
MetronomeSmall Sample
vs Jensen: €6M more expensive · 9y older
87% match
€18.0M
#4
M
M. Madsen
FC København · Superliga
Denmark28yContract 2028
KP/900.67
G/900.00
CreatorCreative
Last 5: ↑ Hot
86% match
€4.0M
#5
A
Albert Grønbæk
Hamburger SV · Serie A
Denmark24yContract 2026
KP/900.86
G/900.29
CreatorCreative
86% match
€8.0M
#6
V
Vitaly Janelt
Brentford · Premier League
Germany28yContract 2026
KP/901.40
G/900.07
Box-to-Box
Last 5: → Stable
85% match
€18.0M
#7
K
Kévin Danois
Auxerre · Ligue 1
France21yContract 2029
KP/901.64
G/900.07
Box-to-BoxCreative
Last 5: ↓ Dip
85% match
€10.0M
#8
M
Mikkel Damsgaard
Brentford · Premier League
Denmark25yContract 2030
KP/901.74
G/900.18
CreatorCreative
Last 5: → Stable
84% match
€30.0M
#9
V
Victor Froholdt
Porto · Liga Portugal
Denmark20yContract 2030
KP/900.97
G/900.19
Balanced Midfielder
Last 5: ↓ Dip
84% match
€30.0M
#10
C
Christian Nørgaard
Arsenal · Premier League
Denmark32yContract 2027
KP/901.75
G/900.00
Ball-WinnerDefensive
Last 5: ↑ Hot
84% match
€9.0M
#11
O
Oliver Sørensen
Parma · Serie A
Denmark24yContract 2030
KP/900.13
G/900.13
Balanced MidfielderSmall Sample
84% match
€7.5M
#12
F
Fredrik Jensen
Aris · Bundesliga
Finland28y
KP/901.07
G/900.17
CreatorCreative
Last 5: ↓ Dip
84% match
€3.0M

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 Mathias Jensen.

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Frequently Asked Questions

Who are the best alternatives to Mathias Jensen?
The top alternatives to Mathias Jensen based on AI DNA playing style analysis include: Mathias Jensen, Morten Hjulmand, Pierre-Emile Højbjerg, M. Madsen, Albert Grønbæk. 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 Mathias Jensen in 2026?
Players with a similar profile to Mathias Jensen in 2026 include Mathias Jensen (€12.0M), Morten Hjulmand (€45.0M), Pierre-Emile Højbjerg (€18.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Mathias Jensen play and who plays similarly?
Mathias Jensen plays as a Midfielder. Players with a comparable positional profile include Mathias Jensen (Denmark, €12.0M); Morten Hjulmand (Denmark, €45.0M); Pierre-Emile Højbjerg (Denmark, €18.0M); M. Madsen (Denmark, €4.0M).
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.