RisingTransfers
AI DNA Similarity

Best Alternatives to Medon Berisha

Players most similar to Medon Berisha (Midfielder, €6.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Medon Berisha

  1. 1.Michel Aebischer86% DNA match·Pisa€4.0M
  2. 2.Enis Bardhi85% DNA match·Konyaspor€3.0M
  3. 3.Elvis Rexhbecaj86% DNA match·FC Augsburg€3.5M

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 13%

A Creator....

See Full Verdict + Share Card →

Playing Style Analysis

CreatorCreativeSmall Sample

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. The three most similar players to Medon Berisha by playing style are:

  • Michel Aebischer(86% match)A Balanced Midfielder. Statistically, he stands out as a capable chance creator (1.1 key passes/90), active in the tackle (1.8 tackles/90), penetrates with forward passing (8.8 final-third passes/90), heavily involved in play (62 touches/90), uses long balls frequently (7.7/90) and active off the ball (2.9 press score/90), contributing to defensive transitions.
  • Enis Bardhi(85% 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.
  • Elvis Rexhbecaj(86% match)A Balanced Midfielder. Statistically, he stands out as naturally left-footed. However, he loses possession under pressure (2.0 dispossessed/90).

Transfer Intelligence

Michel Aebischer delivers 86% of the same playing style, at 33% lower cost (€4.0M vs €6.0M), with 1.05 key passes per 90 at age 29.

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

M
Comparison Base
Medon Berisha
MidfielderAlbania€6.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
M
Michel Aebischer
Pisa · Serie A
Switzerland29yContract 2026
KP/901.05
G/900.00
Balanced Midfielder
Last 5: ↑ Hot
vs Berisha: 7y older
86% match
€4.0M
#2
E
Enis Bardhi
Konyaspor · Super Lig
Macedonia30yContract 2027
KP/902.44
G/900.22
CreatorCreative
Last 5: → Stable
vs Berisha: 8y older
85% match
€3.0M
#3
E
Elvis Rexhbecaj
FC Augsburg · Bundesliga
Kosovo28yContract 2026
KP/901.02
G/900.00
Balanced Midfielder
vs Berisha: 6y older
86% match
€3.5M
#4
L
Lorenzo Bernasconi
Atalanta · Serie A
Italy22yContract 2028
KP/901.25
G/900.00
Creative Playmaker
Last 5: ↑ Hot
85% match
€4.0M
#5
D
Danel Sinani
St. Pauli · Bundesliga
Luxembourg29y
KP/902.13
G/900.43
CreatorCreative
85% match
€3.0M
#6
S
Suat Serdar
Hellas Verona · Serie A
Germany29yContract 2028
KP/900.99
G/900.00
Box-to-BoxSmall Sample
85% match
€4.5M
#7
M
Morten Thorsby
Cremonese · Serie A
Norway30yContract 2026
KP/900.71
G/900.24
Ball-WinnerSmall Sample
Last 5: ↓ Dip
85% match
€3.0M
#8
L
Leon Avdullahu
TSG Hoffenheim · Bundesliga
Switzerland22yContract 2029
KP/901.02
G/900.00
MetronomeSmall Sample
Last 5: ↑ Hot
84% match
€17.0M
#9
L
Lazar Samardžić
Atalanta · Serie A
Germany24yContract 2029
KP/902.64
G/900.22
CreatorCreative
Last 5: → Stable
85% match
€15.0M
#10
A
Amir Richardson
FC København · Serie A
France24yContract 2026
KP/900.65
G/900.09
Box-to-BoxDefensive
Last 5: ↓ Dip
84% match
€9.0M
#11
F
Florent Hadergjonaj
Alanyaspor · Super Lig
Kosovo31yContract 2027
KP/901.78
G/900.25
CreatorCreative
Last 5: → Stable
85% match
€5.0M
#12
B
Bryan Cristante
Roma · Serie A
Italy31yContract 2027
KP/900.88
G/900.05
Metronome
Last 5: ↓ Dip
84% match
€7.0M

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 Medon Berisha.

Ask AI about Medon Berisha

Frequently Asked Questions

Who are the best alternatives to Medon Berisha?
The top alternatives to Medon Berisha based on AI DNA playing style analysis include: Michel Aebischer, Enis Bardhi, Elvis Rexhbecaj, Lorenzo Bernasconi, Danel Sinani. 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 Medon Berisha in 2026?
Players with a similar profile to Medon Berisha in 2026 include Michel Aebischer (€4.0M), Enis Bardhi (€3.0M), Elvis Rexhbecaj (€3.5M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Medon Berisha play and who plays similarly?
Medon Berisha plays as a Midfielder. Players with a comparable positional profile include Michel Aebischer (Switzerland, €4.0M); Enis Bardhi (Macedonia, €3.0M); Elvis Rexhbecaj (Kosovo, €3.5M); Lorenzo Bernasconi (Italy, €4.0M).
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.