AI DNA Similarity
Best Alternatives to Mads Bech Sørensen
Players most similar to Mads Bech Sørensen (Defender, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
Mads Bech Sørensen is a Ball-Playing CB. Progressive defender comfortable on the ball. The three most similar players to Mads Bech Sørensen by playing style are:
- Emil Christensen(89% match) — Emil Christensen is a Ball-Playing CB. Progressive defender comfortable on the ball.
- Bram Nuytinck(86% match) — Bram Nuytinck is a Ball-Playing CB. Progressive defender comfortable on the ball.
- Mats Köhlert(87% match) — Mats Köhlert is a Ball-Playing CB. Progressive defender comfortable on the ball.
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
E
Emil Christensen
B 93 · Superliga
Denmark28y
Tkl/900.85
KP/900.00
Ball-Playing CBBall-Playing
89% match
N/A
#2
B
Bram Nuytinck
NEC Nijmegen · Eredivisie
Netherlands35y
Tkl/901.43
KP/900.26
Ball-Playing CBBall-Playing
86% match
€3.0M
#3
M
Mats Köhlert
Brøndby IF · Superliga
Germany27yContract 2029
Tkl/900.98
KP/902.70
87% match
N/A
#4
F
Federico Baschirotto
Cremonese · Serie A
Italy29y
Tkl/901.12
KP/900.04
Ball-Playing CBAerial
85% match
€4.0M
#5
D
Damon Mirani
Heracles Almelo · Eredivisie
Netherlands29y
Tkl/901.13
KP/900.12
Ball-Playing CBAerial
Last 5: ↑ Hot85% match
N/A
#6
N
Nikola Milenković
Nottingham Forest · Premier League
Serbia28yContract 2029
Tkl/900.77
KP/900.03
Ball-Playing CBAerial
Last 5: → Stable85% match
€14.3M
#7
M
Montassar Talbi
Lorient · Ligue 1
Tunisia27yContract 2027
Tkl/900.80
KP/900.32
Ball-Playing CBAerial
Last 5: ↑ Hot85% match
€7.0M
#8
L
Lukas Boeder
Dynamo Dresden · Bundesliga
Germany28yContract 2026
Tkl/901.08
KP/900.50
Ball-Playing CBBall-Playing
85% match
N/A
#9
M
Martin Valjent
Mallorca · La Liga
Slovakia30yContract 2029
Tkl/901.11
KP/900.11
Ball-Playing CBAerial
Last 5: → Stable85% match
€4.5M
#10
S
Stefano Denswil
Kayserispor · Super Lig
Suriname32y
Tkl/901.01
KP/900.24
Ball-Playing CBAerial
Last 5: → Stable85% match
€6.0M
#11
L
Lautaro Giannetti
Antalyaspor · Super Lig
Argentina32y
Tkl/901.58
KP/900.21
Ball-Playing CBAerial
85% match
N/A
#12
T
Tomislav Glumac
Ümraniyespor · Super Lig
Croatia34yContract 2026
Tkl/901.09
KP/900.27
Ball-Playing CBAerial
Last 5: → Stable85% 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 Mads Bech Sørensen.
Ask AI about Mads Bech Sørensen →Frequently Asked Questions
Who are the best alternatives to Mads Bech Sørensen?▼
The top alternatives to Mads Bech Sørensen based on AI DNA playing style analysis include: Emil Christensen, Bram Nuytinck, Mats Köhlert, Federico Baschirotto, Damon Mirani. 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 Bech Sørensen in 2026?▼
Players with a similar profile to Mads Bech Sørensen in 2026 include Emil Christensen (N/A), Bram Nuytinck (€3.0M), Mats Köhlert (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Mads Bech Sørensen play and who plays similarly?▼
Mads Bech Sørensen plays as a Defender. Players with a comparable positional profile include Emil Christensen (Denmark, N/A); Bram Nuytinck (Netherlands, €3.0M); Mats Köhlert (Germany, N/A); Federico Baschirotto (Italy, €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.