RisingTransfers
AI DNA Similarity

Best Alternatives to Donny van de Beek

Players most similar to Donny van de Beek (Midfielder, €2.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Donny van de Beek

  1. 1.Isco85% DNA match·Real Betis€4.0M
  2. 2.Frenkie de Jong85% DNA match·FC Barcelona€45.0M
  3. 3.Rafa Rodríguez84% DNA match·Málaga€15.0M

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

RT

Intelligence Verdict

???Bottom 17%

A Balanced Midfielder....

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Playing Style Analysis

Balanced Midfielder

A Balanced Midfielder. Statistically, he stands out as a capable chance creator (1.1 key passes/90), active in the tackle (1.9 tackles/90) and creates high-quality scoring opportunities (0.76 big chances/90). The three most similar players to Donny van de Beek by playing style are:

  • Isco(85% match)A Creator. Statistically, he stands out as an elite creator (3.5 key passes/90), a constant goal threat (2.5 shots/90), a proven goalscorer (0.52 goals/90), a prolific assist provider (0.46 assists/90), meticulous in distribution (86% pass accuracy), heavily involved in possession (62 passes/90), creates high-quality scoring opportunities (1.05 big chances/90), penetrates with forward passing (8.8 final-third passes/90), central to possession (87 touches/90), draws fouls effectively (2.5/90), switches play with precision (5.5 long balls/90, 72% accuracy) and top 10% creator in the league. However, he loses possession under pressure (1.6 dispossessed/90).
  • Frenkie de Jong(85% match)A Metronome. Statistically, he stands out as an elite creator (2.0 key passes/90), a reliable supplier (0.23 assists/90), active in the tackle (2.4 tackles/90), meticulous in distribution (94% pass accuracy), wins the physical battle (69% duel success), heavily involved in possession (79 passes/90), creates high-quality scoring opportunities (0.61 big chances/90), penetrates with forward passing (10.9 final-third passes/90), central to possession (90 touches/90), active off the ball (2.6 press score/90), contributing to defensive transitions and top 20% creator in the league.
  • Rafa Rodríguez(84% match)A Creator. Statistically, he stands out as a constant goal threat (2.7 shots/90), a regular goalscorer (0.37 goals/90), a reliable supplier (0.15 assists/90), heavily involved in play (53 touches/90) and active off the ball (2.2 press score/90), contributing to defensive transitions. However, he loses possession under pressure (2.7 dispossessed/90).

Transfer Intelligence

Isco delivers 85% of the same playing style, at a 100% premium over Donny van de Beek, with 3.54 key passes per 90 at age 34.

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

D
Comparison Base
Donny van de Beek
MidfielderNetherlands€2.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
I
Isco
Real Betis · La Liga
Spain34yContract 2027
KP/903.54
G/900.52
CreatorCreative
Last 5: ↓ Dip
vs Beek: 5y older
85% match
€4.0M
#2
F
Frenkie de Jong
FC Barcelona · La Liga
Netherlands29yContract 2026
KP/901.99
G/900.00
MetronomeCreative
Last 5: → Stable
vs Beek: €43M more expensive
85% match
€45.0M
#3
R
Rafa Rodríguez
Málaga · La Liga
Spain22yContract 2028
KP/901.26
G/900.54
Creator
Last 5: → Stable
vs Beek: €13M more expensive · 7y younger
84% match
€15.0M
#4
S
Sergio Lozano
Levante · La Liga
Spain27yContract 2027
KP/900.94
G/900.94
Ball-WinnerCreative
Last 5: → Stable
83% match
€6.0M
#5
P
Pedro Díaz
Rayo Vallecano · La Liga
Spain27yContract 2028
KP/901.41
G/900.00
Creator
Last 5: → Stable
84% match
€3.0M
#6
E
Edu Expósito
Espanyol · La Liga
Spain29yContract 2027
KP/903.18
G/900.00
Box-to-BoxCreative
Last 5: → Stable
83% match
€4.0M
#7
M
Martin Ødegaard
Arsenal · Premier League
Norway27yContract 2028
KP/902.74
G/900.07
CreatorCreative
Last 5: → Stable
83% match
€65.0M
#8
A
Alex Freeman
Villarreal · La Liga
United States21yContract 2025
Tkl/902.69
KP/900.00
Active Full-Back
Last 5: → Stable
82% match
€3.5M
#9
G
Giovani Lo Celso
Real Betis · La Liga
Argentina30yContract 2028
KP/902.04
G/900.15
CreatorCreative
83% match
€15.0M
#10
A
Ander Guevara
Deportivo Alavés · La Liga
Spain28yContract 2027
KP/901.08
G/900.18
MetronomeSmall Sample
Last 5: ↑ Hot
83% match
€3.0M
#11
P
Paul Pogba
Monaco · Ligue 1
France33yContract 2027
KP/901.60
G/900.07
CreatorCreative
82% match
€5.0M
#12
U
Unai Gómez
Athletic Club · La Liga
Spain22yContract 2028
KP/900.71
G/900.14
CreatorSmall Sample
Last 5: ↓ Dip
82% match
€5.0M

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 Donny van de Beek.

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Frequently Asked Questions

Who are the best alternatives to Donny van de Beek?
The top alternatives to Donny van de Beek based on AI DNA playing style analysis include: Isco, Frenkie de Jong, Rafa Rodríguez, Sergio Lozano, Pedro Díaz. 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 Donny van de Beek in 2026?
Players with a similar profile to Donny van de Beek in 2026 include Isco (€4.0M), Frenkie de Jong (€45.0M), Rafa Rodríguez (€15.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Donny van de Beek play and who plays similarly?
Donny van de Beek plays as a Midfielder. Players with a comparable positional profile include Isco (Spain, €4.0M); Frenkie de Jong (Netherlands, €45.0M); Rafa Rodríguez (Spain, €15.0M); Sergio Lozano (Spain, €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.