RisingTransfers
AI DNA Similarity

Best Alternatives to Dani Olmo

Players most similar to Dani Olmo (Midfielder, €60.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Dani Olmo

  1. 1.Fermín López87% DNA match·FC Barcelona€70.0M
  2. 2.Sergio Lozano84% DNA match·Levante€6.0M
  3. 3.Pedri85% DNA match·FC Barcelona€140.0M

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

RT

Intelligence Verdict

ShotsTop 1%
???Bottom 5%

A Creator....

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Playing Style Analysis

CreatorCreative

A Creator. Statistically, he stands out as an elite creator (2.5 key passes/90), a constant goal threat (3.6 shots/90), a proven goalscorer (0.42 goals/90), a prolific assist provider (0.42 assists/90), meticulous in distribution (86% pass accuracy), wins the physical battle (59% duel success), creates high-quality scoring opportunities (0.63 big chances/90), central to possession (72 touches/90), active off the ball (2.3 press score/90), contributing to defensive transitions and top 10% creator in the league. The three most similar players to Dani Olmo by playing style are:

  • Fermín López(87% match)A Creator. Statistically, he stands out as an elite creator (1.8 key passes/90), a constant goal threat (3.1 shots/90), a regular goalscorer (0.29 goals/90), a prolific assist provider (0.51 assists/90), a dynamic dribbler (2.1/90), active in the tackle (2.3 tackles/90), meticulous in distribution (87% pass accuracy), creates high-quality scoring opportunities (0.80 big chances/90), heavily involved in play (64 touches/90), active off the ball (2.3 press score/90), contributing to defensive transitions and top 20% creator in the league.
  • Sergio Lozano(84% match)A Ball-Winner. Statistically, he stands out as an elite creator (2.0 key passes/90), a prolific assist provider (0.25 assists/90), an aggressive ball-winner (2.5 tackles/90), creates high-quality scoring opportunities (0.84 big chances/90), heavily involved in play (69 touches/90), draws fouls effectively (2.3/90) and top 10% creator in the league. However, he prone to committing fouls (3.5/90).
  • Pedri(85% match)A Metronome. Statistically, he stands out as an elite creator (2.3 key passes/90), a prolific assist provider (0.31 assists/90), active in the tackle (2.0 tackles/90), meticulous in distribution (92% pass accuracy), wins the physical battle (61% duel success), heavily involved in possession (86 passes/90), penetrates with forward passing (12.9 final-third passes/90), central to possession (103 touches/90), switches play with precision (5.8 long balls/90, 64% accuracy), a high-intensity presser (press score 3.8/90), constantly disrupting opposition build-up and top 10% creator in the league.

Transfer Intelligence

Fermín López delivers 87% of the same playing style, at a 17% premium over Dani Olmo, with 1.83 key passes per 90 at age 23.

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

D
Comparison Base
Dani Olmo
MidfielderSpain€60.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
F
Fermín López
FC Barcelona · La Liga
Spain23yContract 2029
KP/901.83
G/900.29
CreatorCreative
Last 5: ↓ Dip
vs Olmo: €10M more expensive · 5y younger
87% match
€70.0M
#2
S
Sergio Lozano
Levante · La Liga
Spain27yContract 2027
KP/900.94
G/900.94
Ball-WinnerCreative
Last 5: → Stable
vs Olmo: €54M cheaper
84% match
€6.0M
#3
P
Pedri
FC Barcelona · La Liga
Spain23yContract 2030
KP/902.28
G/900.16
MetronomeCreative
Last 5: → Stable
vs Olmo: €80M more expensive · 5y younger
85% match
€140.0M
#4
J
Jon Moncayola
Osasuna · La Liga
Spain27yContract 2031
KP/900.98
G/900.00
Last 5: ↓ Dip
84% match
€7.0M
#5
P
Pablo Torre
Mallorca · La Liga
Spain23yContract 2029
KP/902.07
G/900.20
CreatorCreative
Last 5: ↓ Dip
84% match
€5.0M
#6
G
Gavi
FC Barcelona · La Liga
Spain21yContract 2030
KP/901.40
G/900.00
MetronomeDefensive
Last 5: → Stable
84% match
€40.0M
#7
M
Marc Casadó
FC Barcelona · La Liga
Spain22yContract 2028
KP/901.10
G/900.00
MetronomeSmall Sample
Last 5: ↓ Dip
84% match
€25.0M
#8
B
Brais Méndez
Real Sociedad · La Liga
Spain29yContract 2028
KP/901.17
G/900.31
Creator
83% match
€12.0M
#9
D
Dominik Szoboszlai
Liverpool · Premier League
Hungary25yContract 2028
KP/902.00
G/900.18
CreatorCreative
Last 5: → Stable
83% match
€100.0M
#10
P
Pablo Barrios
Atlético Madrid · La Liga
Spain22yContract 2030
KP/901.07
G/900.06
Metronome
Last 5: ↓ Dip
84% match
€60.0M
#11
I
Ilaix Moriba
Celta de Vigo · La Liga
Guinea23yContract 2029
KP/900.51
G/900.00
Ball-WinnerDefensive
Last 5: ↓ Dip
84% match
€10.0M
#12
U
Unai Gómez
Athletic Club · La Liga
Spain22yContract 2028
KP/900.71
G/900.14
CreatorSmall Sample
Last 5: ↓ Dip
84% 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 Dani Olmo.

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Frequently Asked Questions

Who are the best alternatives to Dani Olmo?
The top alternatives to Dani Olmo based on AI DNA playing style analysis include: Fermín López, Sergio Lozano, Pedri, Jon Moncayola, Pablo Torre. 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 Dani Olmo in 2026?
Players with a similar profile to Dani Olmo in 2026 include Fermín López (€70.0M), Sergio Lozano (€6.0M), Pedri (€140.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Dani Olmo play and who plays similarly?
Dani Olmo plays as a Midfielder. Players with a comparable positional profile include Fermín López (Spain, €70.0M); Sergio Lozano (Spain, €6.0M); Pedri (Spain, €140.0M); Jon Moncayola (Spain, €7.0M).
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.