RisingTransfers
AI DNA Similarity

Best Alternatives to Leon Avdullahu

Players most similar to Leon Avdullahu (Midfielder, €17.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Leon Avdullahu

  1. 1.Robert Andrich86% DNA match·Bayer 04 Leverkusen€7.0M
  2. 2.Aleksandar Pavlovic86% DNA match·FC Bayern München€75.0M
  3. 3.Denis Huseinbasic86% DNA match·FC Köln€3.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 0%

A Metronome....

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Playing Style Analysis

MetronomeSmall Sample

A Metronome. Statistically, he stands out as active in the tackle (2.0 tackles/90), reads the game exceptionally (1.5 interceptions/90), meticulous in distribution (88% pass accuracy), heavily involved in possession (66 passes/90), wins the ball cleanly (1.9 successful tackles/90), central to possession (77 touches/90), uses long balls frequently (5.4/90) and a high-intensity presser (press score 3.5/90), constantly disrupting opposition build-up. Note: this profile is based on 529 minutes of playing time this season. The three most similar players to Leon Avdullahu by playing style are:

  • Robert Andrich(86% match)A Metronome. Statistically, he stands out as active in the tackle (1.8 tackles/90), meticulous in distribution (89% pass accuracy), wins the physical battle (67% duel success), heavily involved in possession (64 passes/90), central to possession (77 touches/90) and uses long balls frequently (7.8/90). Note: this profile is based on 498 minutes of playing time this season.
  • Aleksandar Pavlovic(86% match)A Metronome. Statistically, he stands out as comfortable with both feet, a capable chance creator (1.4 key passes/90), active in the tackle (1.8 tackles/90), meticulous in distribution (95% pass accuracy), heavily involved in possession (102 passes/90), penetrates with forward passing (12.1 final-third passes/90), central to possession (115 touches/90), switches play with precision (5.8 long balls/90, 80% accuracy) and active off the ball (2.5 press score/90), contributing to defensive transitions.
  • Denis Huseinbasic(86% match)A Balanced Midfielder. Statistically, he stands out as active in the tackle (2.2 tackles/90), meticulous in distribution (90% pass accuracy), wins the physical battle (62% duel success), heavily involved in play (62 touches/90) and active off the ball (2.1 press score/90), contributing to defensive transitions. Note: this profile is based on 721 minutes of playing time this season.

Transfer Intelligence

Robert Andrich delivers 86% of the same playing style, at 59% lower cost (€7.0M vs €17.0M), with 0.12 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
Leon Avdullahu
MidfielderSwitzerland€17.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
R
Robert Andrich
Bayer 04 Leverkusen · Bundesliga
Germany31yContract 2028
KP/900.12
G/900.12
MetronomeSmall Sample
Last 5: ↑ Hot
vs Avdullahu: €10M cheaper · 9y older
86% match
€7.0M
#2
A
Aleksandar Pavlovic
FC Bayern München · Bundesliga
Germany22yContract 2029
KP/901.30
G/900.08
Metronome
Last 5: → Stable
vs Avdullahu: €58M more expensive
86% match
€75.0M
#3
D
Denis Huseinbasic
FC Köln · Bundesliga
Germany24yContract 2027
KP/900.79
G/900.00
Balanced MidfielderSmall Sample
vs Avdullahu: €14M cheaper · 2y older
86% match
€3.0M
#4
R
Robin Fellhauer
FC Augsburg · Bundesliga
Germany28yContract 2029
KP/900.68
G/900.10
Box-to-BoxSmall Sample
85% match
€3.0M
#5
D
Danel Sinani
St. Pauli · Bundesliga
Luxembourg29y
KP/902.13
G/900.43
CreatorCreative
86% match
€3.0M
#6
E
Ellyes Skhiri
Eintracht Frankfurt · Bundesliga
Tunisia31yContract 2027
KP/900.38
G/900.00
Ball-WinnerSmall Sample
86% match
€6.0M
#7
L
Love Arrhov
Eintracht Frankfurt · Bundesliga
Sweden17yContract 2028
KP/901.50
G/900.07
Creator
85% match
€5.0M
#8
E
Elvis Rexhbecaj
FC Augsburg · Bundesliga
Kosovo28yContract 2026
KP/901.02
G/900.00
Balanced Midfielder
85% match
€3.5M
#9
P
Patrick Sontheimer
Saarbrücken · Bundesliga
Germany27yContract 2027
KP/901.54
G/900.00
Box-to-BoxCreative
84% match
€5.0M
#10
B
Bilal El Khannouss
VfB Stuttgart · Bundesliga
Morocco22yContract 2026
KP/902.11
G/900.70
CreatorCreative
Last 5: → Stable
85% match
€32.0M
#11
M
Maximilian Eggestein
SC Freiburg · Bundesliga
Germany29y
KP/900.56
G/900.16
Ball-WinnerDefensive
Last 5: ↓ Dip
84% match
€10.0M
#12
A
Angelo Stiller
VfB Stuttgart · Bundesliga
Germany25yContract 2028
KP/902.53
G/900.00
MetronomeCreative
Last 5: → Stable
85% match
€45.0M

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 Leon Avdullahu.

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Frequently Asked Questions

Who are the best alternatives to Leon Avdullahu?
The top alternatives to Leon Avdullahu based on AI DNA playing style analysis include: Robert Andrich, Aleksandar Pavlovic, Denis Huseinbasic, Robin Fellhauer, 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 Leon Avdullahu in 2026?
Players with a similar profile to Leon Avdullahu in 2026 include Robert Andrich (€7.0M), Aleksandar Pavlovic (€75.0M), Denis Huseinbasic (€3.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Leon Avdullahu play and who plays similarly?
Leon Avdullahu plays as a Midfielder. Players with a comparable positional profile include Robert Andrich (Germany, €7.0M); Aleksandar Pavlovic (Germany, €75.0M); Denis Huseinbasic (Germany, €3.0M); Robin Fellhauer (Germany, €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.