RisingTransfers
AI DNA Similarity

Best Alternatives to Muhamed Buljubasic

Players most similar to Muhamed Buljubasic (Midfielder, €1.5M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Muhamed Buljubasic

  1. 1.Denis Huseinbasic86% DNA match·FC Köln€3.0M
  2. 2.Kristijan Jakic85% DNA match·FC Augsburg€6.0M
  3. 3.Michel Aebischer84% DNA match·Pisa€4.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 0%

A Box-to-Box....

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Playing Style Analysis

Box-to-BoxSmall Sample

A Box-to-Box. Statistically, he stands out as active in the tackle (2.2 tackles/90), meticulous in distribution (87% pass accuracy), heavily involved in play (57 touches/90), draws fouls effectively (2.1/90) and active off the ball (2.5 press score/90), contributing to defensive transitions. However, he loses possession under pressure (1.6 dispossessed/90). The three most similar players to Muhamed Buljubasic by playing style are:

  • 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.
  • Kristijan Jakic(85% match)A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (3.1 tackles/90), penetrates with forward passing (8.6 final-third passes/90), wins the ball cleanly (2.3 successful tackles/90), heavily involved in play (67 touches/90), uses long balls frequently (6.3/90), a high-intensity presser (press score 3.6/90), constantly disrupting opposition build-up and top 10% tackler in the league. Note: this profile is based on 470 minutes of playing time this season.
  • Michel Aebischer(84% 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.

Transfer Intelligence

Denis Huseinbasic delivers 86% of the same playing style, at a 100% premium over Muhamed Buljubasic, with 0.79 key passes per 90 at age 24.

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

M
Comparison Base
Muhamed Buljubasic
MidfielderBosnia and Herzegovina€1.5M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
D
Denis Huseinbasic
FC Köln · Bundesliga
Germany24yContract 2027
KP/900.79
G/900.00
Balanced MidfielderSmall Sample
vs Buljubasic: 3y older
86% match
€3.0M
#2
K
Kristijan Jakic
FC Augsburg · Bundesliga
Croatia28yContract 2028
KP/900.77
G/900.15
Ball-WinnerDefensive
Last 5: → Stable
vs Buljubasic: 7y older
85% match
€6.0M
#3
M
Michel Aebischer
Pisa · Serie A
Switzerland29yContract 2026
KP/901.05
G/900.00
Balanced Midfielder
Last 5: ↑ Hot
vs Buljubasic: 8y older
84% match
€4.0M
#4
E
Elvis Rexhbecaj
FC Augsburg · Bundesliga
Kosovo28yContract 2026
KP/901.02
G/900.00
Balanced Midfielder
84% match
€3.5M
#5
M
Martin Baturina
Como · Serie A
Croatia23yContract 2030
KP/904.11
G/900.51
CreatorCreative
Last 5: → Stable
83% match
€18.0M
#6
T
Tom Bischof
FC Bayern München · Bundesliga
Germany20yContract 2029
KP/901.01
G/900.00
CreatorCreative
Last 5: ↑ Hot
84% match
€40.0M
#7
M
M. Madsen
FC København · Superliga
Denmark28yContract 2028
KP/900.67
G/900.00
CreatorCreative
Last 5: ↑ Hot
84% match
€4.0M
#8
C
Carney Chukwuemeka
Borussia Dortmund · Bundesliga
England22yContract 2030
KP/901.24
G/900.31
Box-to-BoxSmall Sample
84% match
€20.0M
#9
A
Aleksandar Pavlovic
FC Bayern München · Bundesliga
Germany22yContract 2029
KP/901.30
G/900.08
Metronome
Last 5: → Stable
84% match
€75.0M
#10
A
Alex Freeman
Villarreal · La Liga
United States21yContract 2025
Tkl/902.69
KP/900.00
Active Full-Back
Last 5: → Stable
83% match
€3.5M
#11
S
Sandi Lovrić
Hellas Verona · Serie A
Slovenia28yContract 2027
KP/900.94
G/900.00
Creator
83% match
€6.0M
#12
L
Leon Avdullahu
TSG Hoffenheim · Bundesliga
Switzerland22yContract 2029
KP/901.02
G/900.00
MetronomeSmall Sample
Last 5: ↑ Hot
83% match
€17.0M

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 Muhamed Buljubasic.

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Frequently Asked Questions

Who are the best alternatives to Muhamed Buljubasic?
The top alternatives to Muhamed Buljubasic based on AI DNA playing style analysis include: Denis Huseinbasic, Kristijan Jakic, Michel Aebischer, Elvis Rexhbecaj, Martin Baturina. 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 Muhamed Buljubasic in 2026?
Players with a similar profile to Muhamed Buljubasic in 2026 include Denis Huseinbasic (€3.0M), Kristijan Jakic (€6.0M), Michel Aebischer (€4.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Muhamed Buljubasic play and who plays similarly?
Muhamed Buljubasic plays as a Midfielder. Players with a comparable positional profile include Denis Huseinbasic (Germany, €3.0M); Kristijan Jakic (Croatia, €6.0M); Michel Aebischer (Switzerland, €4.0M); Elvis Rexhbecaj (Kosovo, €3.5M).
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.