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·Brøndby IF€12.0M
  2. 2.Elliot Anderson87% DNA match·Nottingham Forest€60.0M
  3. 3.Mikkel Damsgaard87% DNA match·Brentford€30.0M

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

RT

Intelligence Verdict

Big ChancesTop 5%
???Bottom 10%

A Creator....

See Full Verdict + Share Card →

Playing Style Analysis

Creator

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

  • Mathias Jensen(94% match)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).
  • Elliot Anderson(87% match)A Metronome. Statistically, he stands out as an elite creator (1.5 key passes/90), an aggressive ball-winner (2.8 tackles/90), meticulous in distribution (85% pass accuracy), heavily involved in possession (64 passes/90), penetrates with forward passing (10.2 final-third passes/90), central to possession (89 touches/90), draws fouls effectively (2.1/90), uses long balls frequently (6.0/90) and a high-intensity presser (press score 4.1/90), constantly disrupting opposition build-up. However, he loses possession under pressure (1.7 dispossessed/90).
  • Mikkel Damsgaard(87% 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

Mathias Jensen delivers 94% of the same playing style, with 1.44 key passes per 90 at age 21.

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
Brøndby IF · Superliga
Denmark21yContract 2027
KP/901.44
G/900.00
CreatorCreative
Last 5: → Stable
vs Jensen: 9y younger
94% match
€12.0M
#2
E
Elliot Anderson
Nottingham Forest · Premier League
Scotland23yContract 2029
KP/901.50
G/900.11
MetronomeCreative
Last 5: ↓ Dip
vs Jensen: €48M more expensive · 7y younger
87% match
€60.0M
#3
M
Mikkel Damsgaard
Brentford · Premier League
Denmark25yContract 2030
KP/901.74
G/900.18
CreatorCreative
Last 5: → Stable
vs Jensen: €18M more expensive · 5y younger
87% match
€30.0M
#4
J
Josh Cullen
Burnley · Premier League
Republic of Ireland30yContract 2027
KP/900.77
G/900.12
Balanced Midfielder
86% match
€6.0M
#5
A
Alex Scott
AFC Bournemouth · Premier League
England22yContract 2028
KP/900.88
G/900.10
Box-to-Box
Last 5: ↑ Hot
85% match
€40.0M
#6
V
Vitaly Janelt
Brentford · Premier League
Germany28yContract 2026
KP/901.40
G/900.07
Box-to-Box
Last 5: → Stable
86% match
€18.0M
#7
P
Pierre-Emile Højbjerg
Olympique Marseille · Ligue 1
Denmark30yContract 2028
KP/901.07
G/900.11
MetronomeSmall Sample
86% match
€18.0M
#8
M
Mats Wieffer
Brighton & Hove Albion · Premier League
Netherlands26yContract 2029
KP/900.99
G/900.10
Ball-WinnerDefensive
Last 5: ↓ Dip
85% match
€25.0M
#9
K
Kévin Danois
Auxerre · Ligue 1
France21yContract 2029
KP/901.64
G/900.07
Box-to-BoxCreative
Last 5: ↓ Dip
84% match
€10.0M
#10
F
Florentino
Burnley · Premier League
Portugal26yContract 2026
KP/900.55
G/900.00
Ball-WinnerDefensive
Last 5: ↑ Hot
84% match
€20.0M
#11
W
Will Hughes
Crystal Palace · Premier League
England31yContract 2027
KP/901.20
G/900.00
Box-to-Box
Last 5: ↓ Dip
85% match
€6.0M
#12
M
Morten Hjulmand
Sporting CP · Liga Portugal
Denmark26yContract 2028
KP/901.13
G/900.08
Metronome
Last 5: → Stable
84% match
€45.0M

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.

Ask AI about Mathias Jensen

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, Elliot Anderson, Mikkel Damsgaard, Josh Cullen, Alex Scott. 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), Elliot Anderson (€60.0M), 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 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); Elliot Anderson (Scotland, €60.0M); Mikkel Damsgaard (Denmark, €30.0M); Josh Cullen (Republic of Ireland, €6.0M).
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.