RisingTransfers
AI DNA Similarity

Best Alternatives to Leandro Bacuna

Players most similar to Leandro Bacuna (Midfielder, €3.5M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Leandro Bacuna

  1. 1.Florent Hadergjonaj85% DNA match·Alanyaspor€5.0M
  2. 2.Enis Bardhi82% DNA match·Konyaspor€3.0M
  3. 3.Morgan Rogers82% DNA match·Aston Villa€80.0M

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

RT

Intelligence Verdict

GoalsTop 12%
???Bottom 17%

Bacuna is a statistical enigma operating in the Turkish second tier...

See Full Verdict + Share Card →

Playing Style Analysis

Creator

Bacuna is a statistical enigma operating in the Turkish second tier, functioning less like a traditional midfield engine and more like a ghost who haunts the penalty area. While his 30.5 passes per minute suggest a player often bypassed in the buildup, his output tells a different story; he sits in the elite top 5% of the league for goals per 90, transforming a lack of volume into high-leverage lethality. The counterintuitive reality of his data is that despite a lackluster 1.37 shots per 90, his conversion rate is predatory, proving he doesn't need many bites at the cherry to change a scoreline. The three most similar players to Leandro Bacuna by playing style are:

  • Florent Hadergjonaj(85% match)A Creator. Statistically, he stands out as an elite creator (1.8 key passes/90), a regular goalscorer (0.25 goals/90), a prolific assist provider (0.34 assists/90), wins the physical battle (60% duel success), penetrates with forward passing (8.4 final-third passes/90), heavily involved in play (65 touches/90) and uses long balls frequently (6.1/90).
  • Enis Bardhi(82% match)Bardhi is a dead-ball specialist masquerading as a central cog, a player who operates with the surgical precision of a playmaker but carries the shot volume of a secondary striker. While his 33.7 passes per match suggest a modest involvement in build-up, his output is pure efficiency; he ranks in the top 5% of Super Lig midfielders for key passes and the top 10% for goals. This discrepancy reveals the counterintuitive reality of his game: Bardhi isn't a high-volume engine, but a high-leverage executioner who waits for the decisive moment to strike or slide a ball into the final third.
  • Morgan Rogers(82% match)A Creator. Statistically, he stands out as a capable chance creator (1.2 key passes/90) and a regular goalscorer (0.25 goals/90). However, he loses possession under pressure (2.3 dispossessed/90).

Transfer Intelligence

Florent Hadergjonaj delivers 85% of the same playing style, at a 45% premium over Leandro Bacuna, with 1.78 key passes per 90 at age 31.

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

L
Comparison Base
Leandro Bacuna
MidfielderCuraçao€3.5M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
F
Florent Hadergjonaj
Alanyaspor · Super Lig
Kosovo31yContract 2027
KP/901.78
G/900.25
CreatorCreative
Last 5: → Stable
vs Bacuna: 3y younger
85% match
€5.0M
#2
E
Enis Bardhi
Konyaspor · Super Lig
Macedonia30yContract 2027
KP/902.44
G/900.22
CreatorCreative
Last 5: → Stable
vs Bacuna: 4y younger
82% match
€3.0M
#3
M
Morgan Rogers
Aston Villa · Premier League
England23yContract 2030
KP/901.24
G/900.25
Creator
Last 5: → Stable
vs Bacuna: €77M more expensive · 11y younger
82% match
€80.0M
#4
D
Diogo Gonçalves
Konyaspor · Super Lig
Portugal29yContract 2026
G/900.81
A/900.00
Left WingCreator
Last 5: → Stable
82% match
€3.0M
#5
L
Luis Hasa
Napoli · Serie A
Italy22yContract 2026
KP/900.90
G/900.36
Box-to-Box
Last 5: ↑ Hot
83% match
€3.0M
#6
S
Salih Özcan
Borussia Dortmund · Bundesliga
Turkey28yContract 2026
KP/901.26
G/900.00
MetronomeSmall Sample
82% match
€3.5M
#7
M
Martin Baturina
Como · Serie A
Croatia23yContract 2030
KP/904.11
G/900.51
CreatorCreative
Last 5: → Stable
81% match
€18.0M
#8
M
Mike Tresor
Burnley · Premier League
Belgium26yContract 2028
KP/902.87
G/900.22
CreatorCreative
81% match
€3.0M
#9
E
Ernest Muci
Trabzonspor · Super Lig
Albania25yContract 2026
KP/902.41
G/900.58
CreatorCreative
Last 5: → Stable
82% match
€11.0M
#10
C
Carlos Dotor
Málaga · La Liga
Spain25yContract 2026
KP/901.29
G/900.00
Box-to-BoxCreative
Last 5: ↑ Hot
82% match
€3.0M
#11
M
Mikael Egill Ellertsson
Genoa · Serie A
Iceland24yContract 2029
KP/900.40
G/900.00
Balanced Midfielder
Last 5: ↓ Dip
81% match
€3.5M
#12
D
Denis Huseinbasic
FC Köln · Bundesliga
Germany24yContract 2027
KP/900.79
G/900.00
Balanced MidfielderSmall Sample
82% match
€3.0M

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 Leandro Bacuna.

Ask AI about Leandro Bacuna

Frequently Asked Questions

Who are the best alternatives to Leandro Bacuna?
The top alternatives to Leandro Bacuna based on AI DNA playing style analysis include: Florent Hadergjonaj, Enis Bardhi, Morgan Rogers, Diogo Gonçalves, Luis Hasa. 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 Leandro Bacuna in 2026?
Players with a similar profile to Leandro Bacuna in 2026 include Florent Hadergjonaj (€5.0M), Enis Bardhi (€3.0M), Morgan Rogers (€80.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Leandro Bacuna play and who plays similarly?
Leandro Bacuna plays as a Midfielder. Players with a comparable positional profile include Florent Hadergjonaj (Kosovo, €5.0M); Enis Bardhi (Macedonia, €3.0M); Morgan Rogers (England, €80.0M); Diogo Gonçalves (Portugal, €3.0M).
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.