AI DNA Similarity
Best Alternatives to M. Hebo
Players most similar to M. Hebo (Midfielder, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to M. Hebo
- 1.Niels Morberg97% DNA match·Kolding IF
- 2.Nick Runderkamp93% DNA match·RKAV Volendam
- 3.Mikkel Mouritz93% DNA match·Hillerød
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
InterceptionsTop 22%
???Bottom 0%
“A Midfielder....”
See Full Verdict + Share Card →Playing Style Analysis
A Midfielder. Statistically, he stands out as switches play with precision (5.2 long balls/90, 61% accuracy). The three most similar players to M. Hebo by playing style are:
- Niels Morberg(97% match) — A Midfielder. Statistically, he stands out as heavily involved in play (62 touches/90) and uses long balls frequently (5.3/90).
- Nick Runderkamp(93% match) — A Midfielder. Statistically, he stands out as a reliable supplier (0.22 assists/90).
- Mikkel Mouritz(93% match) — A Balanced Midfielder. Statistically, he stands out as heavily involved in play (56 touches/90), uses long balls frequently (5.0/90) and active off the ball (2.1 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 →
Similar Players — Ranked by DNA Similarity
#1
N
Niels Morberg
Kolding IF · Superliga
Denmark25y
KP/900.54
G/900.00
vs Hebo: 5y younger
97% match
N/A
#2
N
Nick Runderkamp
RKAV Volendam · Eredivisie
Netherlands29y
KP/900.00
G/900.15
93% match
N/A
#3
M
Mikkel Mouritz
Hillerød · Superliga
Denmark29y
KP/901.21
G/900.07
Balanced Midfielder
Last 5: ↓ Dip93% match
N/A
#4
D
Darko Lazović
Al Wahda · Serie A
Serbia35y
KP/901.07
G/900.12
93% match
N/A
#5
Y
Yusuf Kocatürk
Ümraniyespor · Super Lig
Turkey21yContract 2026
KP/900.31
G/900.06
Box-to-Box
Last 5: → Stable93% match
N/A
#6
D
Delano Vianello
TOP Oss · Eredivisie
Netherlands23yContract 2025
KP/901.24
G/900.10
Box-to-Box
Last 5: ↓ Dip93% match
N/A
#7
F
Frederik Juul Christensen
Horsens · Superliga
Denmark26y
KP/900.44
G/900.00
92% match
N/A
#8
F
F. Mortensen
Hobro · Superliga
Denmark27y
KP/900.38
G/900.00
92% match
N/A
#9
O
Oğuz Yıldırım
Ümraniyespor · Super Lig
Turkey31yContract 2025
KP/900.67
G/900.06
Balanced Midfielder
Last 5: ↑ Hot92% match
N/A
#10
I
Izan Merino
Málaga · La Liga
Spain20yContract 2028
KP/900.44
G/900.00
92% match
N/A
#11
J
Jeppe Andersen
Silkeborg IF · Superliga
Denmark33yContract 2026
KP/900.62
G/900.31
92% match
N/A
#12
A
Ayumu Seko
Le Havre · Ligue 1
Japan25yContract 2027
KP/900.38
G/900.00
Ball-WinnerSmall Sample
Last 5: ↓ Dip91% match
N/A
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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 M. Hebo.
Ask AI about M. Hebo →Frequently Asked Questions
Who are the best alternatives to M. Hebo?▼
The top alternatives to M. Hebo based on AI DNA playing style analysis include: Niels Morberg, Nick Runderkamp, Mikkel Mouritz, Darko Lazović, Yusuf Kocatürk. 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 M. Hebo in 2026?▼
Players with a similar profile to M. Hebo in 2026 include Niels Morberg (N/A), Nick Runderkamp (N/A), Mikkel Mouritz (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does M. Hebo play and who plays similarly?▼
M. Hebo plays as a Midfielder. Players with a comparable positional profile include Niels Morberg (Denmark, N/A); Nick Runderkamp (Netherlands, N/A); Mikkel Mouritz (Denmark, N/A); Darko Lazović (Serbia, 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.