RisingTransfers
AI DNA Similarity

Best Alternatives to Enis Bardhi

Players most similar to Enis Bardhi (Midfielder, €3.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Enis Bardhi

  1. 1.Ernest Muci86% DNA match·Trabzonspor€11.0M
  2. 2.Florent Hadergjonaj86% DNA match·Alanyaspor€5.0M
  3. 3.Medon Berisha85% DNA match·Lecce€6.0M

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

RT

Intelligence Verdict

Key PassesTop 6%
???Bottom 15%

Bardhi is a dead-ball specialist masquerading as a central cog...

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Playing Style Analysis

CreatorCreative

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. The three most similar players to Enis Bardhi by playing style are:

  • Ernest Muci(86% match)A Creator. Statistically, he stands out as an elite creator (2.4 key passes/90), a constant goal threat (3.8 shots/90), a proven goalscorer (0.58 goals/90), a reliable supplier (0.16 assists/90), meticulous in distribution (87% pass accuracy), heavily involved in play (57 touches/90) and top 10% creator in the league.
  • Florent Hadergjonaj(86% 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).
  • Medon Berisha(85% match)A Creator. Statistically, he stands out as an elite creator (2.0 key passes/90), a regular goalscorer (0.27 goals/90), a prolific assist provider (0.41 assists/90), active in the tackle (2.5 tackles/90), wins the physical battle (56% duel success), creates high-quality scoring opportunities (0.68 big chances/90), heavily involved in play (58 touches/90), uses long balls frequently (6.4/90), active off the ball (2.5 press score/90), contributing to defensive transitions and top 20% creator in the league. Note: this profile is based on 660 minutes of playing time this season.

Transfer Intelligence

Ernest Muci delivers 86% of the same playing style, at a 267% premium over Enis Bardhi, with 2.41 key passes per 90 at age 25.

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

E
Comparison Base
Enis Bardhi
MidfielderMacedonia€3.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
E
Ernest Muci
Trabzonspor · Super Lig
Albania25yContract 2026
KP/902.41
G/900.58
CreatorCreative
Last 5: → Stable
vs Bardhi: €8M more expensive · 5y younger
86% match
€11.0M
#2
F
Florent Hadergjonaj
Alanyaspor · Super Lig
Kosovo31yContract 2027
KP/901.78
G/900.25
CreatorCreative
Last 5: → Stable
86% match
€5.0M
#3
M
Medon Berisha
Lecce · Serie A
Albania22yContract 2028
KP/902.04
G/900.27
CreatorCreative
vs Bardhi: 8y younger
85% match
€6.0M
#4
K
Kacper Kozlowski
Gaziantep F.K. · Super Lig
Poland22yContract 2027
KP/901.23
G/900.21
Creator
Last 5: ↑ Hot
84% match
€5.0M
#5
D
Diogo Gonçalves
Konyaspor · Super Lig
Portugal29yContract 2026
G/900.81
A/900.00
Left WingCreator
Last 5: → Stable
83% match
€3.0M
#6
M
Mateusz Legowski
Eyüpspor · Super Lig
Poland23y
KP/900.85
G/900.06
Ball-Winner
Last 5: ↓ Dip
84% match
€3.0M
#7
A
Alexandru Maxim
Gaziantep F.K. · Super Lig
Romania35y
KP/903.31
G/900.17
Box-to-BoxCreative
Last 5: → Stable
83% match
€3.0M
#8
L
Leon Avdullahu
TSG Hoffenheim · Bundesliga
Switzerland22yContract 2029
KP/901.02
G/900.00
MetronomeSmall Sample
Last 5: ↑ Hot
83% match
€17.0M
#9
O
Orkun Kökçü
Beşiktaş · Super Lig
Turkey25yContract 2026
KP/903.19
G/900.30
CreatorCreative
Last 5: → Stable
84% match
€25.0M
#10
S
Sergi Darder
Mallorca · La Liga
Spain32yContract 2028
KP/902.22
G/900.00
CreatorCreative
Last 5: ↑ Hot
83% match
€3.5M
#11
D
Danel Sinani
St. Pauli · Bundesliga
Luxembourg29y
KP/902.13
G/900.43
CreatorCreative
84% match
€3.0M
#12
A
Amine Harit
İstanbul Başakşehir · Super Lig
Morocco28y
KP/902.21
G/900.12
Box-to-BoxCreative
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 Enis Bardhi.

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Frequently Asked Questions

Who are the best alternatives to Enis Bardhi?
The top alternatives to Enis Bardhi based on AI DNA playing style analysis include: Ernest Muci, Florent Hadergjonaj, Medon Berisha, Kacper Kozlowski, Diogo Gonçalves. 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 Enis Bardhi in 2026?
Players with a similar profile to Enis Bardhi in 2026 include Ernest Muci (€11.0M), Florent Hadergjonaj (€5.0M), Medon Berisha (€6.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Enis Bardhi play and who plays similarly?
Enis Bardhi plays as a Midfielder. Players with a comparable positional profile include Ernest Muci (Albania, €11.0M); Florent Hadergjonaj (Kosovo, €5.0M); Medon Berisha (Albania, €6.0M); Kacper Kozlowski (Poland, €5.0M).
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.