RisingTransfers
AI DNA Similarity

Best Alternatives to Luis Alberto

Players most similar to Luis Alberto (Midfielder, €11.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Luis Alberto

  1. 1.Pablo Fornals86% DNA match·Real Betis€8.0M
  2. 2.Emiliano Buendía86% DNA match·Aston Villa€18.0M
  3. 3.Sergio Lozano84% DNA match·Levante€6.0M

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

RT

Intelligence Verdict

ShotsTop 0%
???Bottom 5%

Luis Alberto is a midfielder who earns his wages in the final third...

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Playing Style Analysis

Creative PlaymakerGoal-Scoring Midfielder

Luis Alberto is a midfielder who earns his wages in the final third, not the defensive trenches—and the numbers make no attempt to hide it. His 0.59 goals per 90 places him in the top 5% of the league, a remarkable figure for a player operating in midfield, while his 11.24 passes into the final third per 90 ranks top 10%—proof that he's not just shooting blindly, he's consistently threatening. Here's the counterintuitive part: his modest 3.55 shots per 90 tells you these aren't speculative efforts; the conversion rate behind that goals figure suggests clinical precision rather than volume gambling. The three most similar players to Luis Alberto by playing style are:

  • Pablo Fornals(86% match)A Creator. Statistically, he stands out as an elite creator (2.6 key passes/90), a regular goalscorer (0.25 goals/90), a reliable supplier (0.21 assists/90), meticulous in distribution (86% pass accuracy), penetrates with forward passing (8.1 final-third passes/90), central to possession (74 touches/90), active off the ball (2.7 press score/90), contributing to defensive transitions and top 10% creator in the league.
  • Emiliano Buendía(86% match)A Creator. Statistically, he stands out as a capable chance creator (1.4 key passes/90), a constant goal threat (2.6 shots/90), a regular goalscorer (0.34 goals/90), active in the tackle (2.3 tackles/90), heavily involved in play (54 touches/90), draws fouls effectively (2.1/90) and active off the ball (2.8 press score/90), contributing to defensive transitions. However, he loses possession under pressure (1.9 dispossessed/90).
  • 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).

Transfer Intelligence

Pablo Fornals delivers 86% of the same playing style, at 27% lower cost (€8.0M vs €11.0M), with 2.63 key passes per 90 at age 30.

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

L
Comparison Base
Luis Alberto
MidfielderSpain€11.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
P
Pablo Fornals
Real Betis · La Liga
Spain30yContract 2029
KP/902.63
G/900.25
CreatorCreative
Last 5: → Stable
vs Alberto: 3y younger
86% match
€8.0M
#2
E
Emiliano Buendía
Aston Villa · Premier League
Argentina29yContract 2027
KP/901.41
G/900.34
Creator
Last 5: → Stable
vs Alberto: €7M more expensive · 4y younger
86% match
€18.0M
#3
S
Sergio Lozano
Levante · La Liga
Spain27yContract 2027
KP/900.94
G/900.94
Ball-WinnerCreative
Last 5: → Stable
vs Alberto: 6y younger
84% match
€6.0M
#4
N
Nico González
Manchester City · Premier League
Spain24yContract 2029
KP/900.61
G/900.06
Metronome
Last 5: ↑ Hot
84% match
€45.0M
#5
A
Adrián Bernabé
Parma · Serie A
Spain24yContract 2027
KP/902.16
G/900.08
CreatorCreative
83% match
€15.0M
#6
K
Keane Lewis-Potter
Brentford · Premier League
England25yContract 2031
KP/900.90
G/900.15
Balanced Midfielder
Last 5: → Stable
84% match
€25.0M
#7
M
Marcus Tavernier
AFC Bournemouth · Premier League
England27yContract 2028
KP/901.61
G/900.21
CreatorCreative
Last 5: → Stable
83% match
€23.0M
#8
F
Florian Wirtz
Liverpool · Premier League
Germany23yContract 2030
KP/902.34
G/900.19
CreatorCreative
Last 5: → Stable
83% match
€110.0M
#9
S
Sergi Darder
Mallorca · La Liga
Spain32yContract 2028
KP/902.22
G/900.00
CreatorCreative
Last 5: ↑ Hot
83% match
€3.5M
#10
N
Nikola Vlašić
Torino · Serie A
Croatia28yContract 2027
KP/901.59
G/900.20
CreatorCreative
Last 5: → Stable
83% match
€9.0M
#11
M
Martin Ødegaard
Arsenal · Premier League
Norway27yContract 2028
KP/902.74
G/900.07
CreatorCreative
Last 5: → Stable
84% match
€65.0M
#12
C
Carlos Alcaraz
Everton · Premier League
Argentina23yContract 2027
KP/901.19
G/900.00
Box-to-BoxSmall Sample
Last 5: ↓ Dip
83% match
€15.0M

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 Luis Alberto.

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Frequently Asked Questions

Who are the best alternatives to Luis Alberto?
The top alternatives to Luis Alberto based on AI DNA playing style analysis include: Pablo Fornals, Emiliano Buendía, Sergio Lozano, Nico González, Adrián Bernabé. 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 Luis Alberto in 2026?
Players with a similar profile to Luis Alberto in 2026 include Pablo Fornals (€8.0M), Emiliano Buendía (€18.0M), Sergio Lozano (€6.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Luis Alberto play and who plays similarly?
Luis Alberto plays as a Midfielder. Players with a comparable positional profile include Pablo Fornals (Spain, €8.0M); Emiliano Buendía (Argentina, €18.0M); Sergio Lozano (Spain, €6.0M); Nico González (Spain, €45.0M).
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.