RisingTransfers
AI DNA Similarity

Best Alternatives to Andrej Bacanin

Players most similar to Andrej Bacanin (Midfielder, €2.3M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Andrej Bacanin

  1. 1.Denis Huseinbasic85% DNA match·FC Köln€3.0M
  2. 2.Lorenzo Bernasconi84% DNA match·Atalanta€4.0M
  3. 3.Salih Özcan84% DNA match·Borussia Dortmund€3.5M

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

RT

Intelligence Verdict

InterceptionsTop 11%
???Bottom 0%

A Box-to-Box....

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Playing Style Analysis

Box-to-Box

A Box-to-Box. Statistically, he stands out as a capable chance creator (1.2 key passes/90), active in the tackle (2.0 tackles/90), heavily involved in play (57 touches/90) and active off the ball (2.4 press score/90), contributing to defensive transitions. The three most similar players to Andrej Bacanin by playing style are:

  • Denis Huseinbasic(85% 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.
  • Lorenzo Bernasconi(84% match)Bernasconi operates as a high-efficiency creative engine trapped within a Tier C outfit, functioning as a sophisticated bridge between a struggling defense and a neglected attack. While his 40.5 passes per minute suggest a standard metronome, the qualitative weight of those touches is elite; ranking in the top 20% for both key passes and expected assists, he is a primary architect in a desert of talent. His 56.3% duel win rate proves he isn't just a luxury playmaker, yet the data reveals a fascinating paradox: he is a ground-level gladiator who is virtually non-existent in the air, winning half his duels but ranking in the bottom 10% for aerial volume.
  • Salih Özcan(84% match)Özcan is a metronomic disruptor whose high-volume passing and elite defensive anticipation make him the structural glue for a mid-table side. While his 79.2% pass accuracy appears merely average, it is a byproduct of his relentless involvement; ranking in the top 5% for passes per 90 (57.9) suggests he is the primary valve through whom the game flows, rather than a passenger. His true value lies in his spatial intelligence, evidenced by a staggering 2.78 interceptions per 90—putting him in the league’s elite tier for reading play.

Transfer Intelligence

Denis Huseinbasic delivers 85% of the same playing style, at a 30% premium over Andrej Bacanin, 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 →

A
Comparison Base
Andrej Bacanin
MidfielderSerbia€2.3M
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 Bacanin: 5y older
85% match
€3.0M
#2
L
Lorenzo Bernasconi
Atalanta · Serie A
Italy22yContract 2028
KP/901.25
G/900.00
Creative Playmaker
Last 5: ↑ Hot
vs Bacanin: 3y older
84% match
€4.0M
#3
S
Salih Özcan
Borussia Dortmund · Bundesliga
Turkey28yContract 2026
KP/901.26
G/900.00
MetronomeSmall Sample
vs Bacanin: 9y older
84% match
€3.5M
#4
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
#5
L
Luka Modrić
AC Milan · Serie A
Croatia40yContract 2026
KP/901.48
G/900.00
MetronomeSmall Sample
Last 5: → Stable
83% match
€4.0M
#6
R
Remo Freuler
Bologna · Serie A
Switzerland34yContract 2026
KP/900.83
G/900.00
Chance Creator
Last 5: → Stable
83% match
€4.0M
#7
D
Dani Silva
FC Midtjylland · Superliga
Portugal26yContract 2029
KP/901.19
G/900.00
Balanced MidfielderSmall Sample
83% match
€3.5M
#8
M
Michel Aebischer
Pisa · Serie A
Switzerland29yContract 2026
KP/901.05
G/900.00
Balanced Midfielder
Last 5: ↑ Hot
82% match
€4.0M
#9
C
Carlos Dotor
Málaga · La Liga
Spain25yContract 2026
KP/901.29
G/900.00
Box-to-BoxCreative
Last 5: ↑ Hot
82% match
€3.0M
#10
M
Magnus Saaby
Kolding IF · Superliga
Denmark23y
KP/900.47
G/900.09
Metronome
Last 5: ↑ Hot
81% match
N/A
#11
S
Sandi Lovrić
Hellas Verona · Serie A
Slovenia28yContract 2027
KP/900.94
G/900.00
Creator
81% match
€6.0M
#12
Y
Youssef Aït Bennasser
Kayserispor · Super Lig
Morocco29y
KP/900.55
G/900.00
Ball-Winner
Last 5: ↑ Hot
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 Andrej Bacanin.

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Frequently Asked Questions

Who are the best alternatives to Andrej Bacanin?
The top alternatives to Andrej Bacanin based on AI DNA playing style analysis include: Denis Huseinbasic, Lorenzo Bernasconi, Salih Özcan, Alexandru Maxim, Luka Modrić. 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 Andrej Bacanin in 2026?
Players with a similar profile to Andrej Bacanin in 2026 include Denis Huseinbasic (€3.0M), Lorenzo Bernasconi (€4.0M), Salih Özcan (€3.5M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Andrej Bacanin play and who plays similarly?
Andrej Bacanin plays as a Midfielder. Players with a comparable positional profile include Denis Huseinbasic (Germany, €3.0M); Lorenzo Bernasconi (Italy, €4.0M); Salih Özcan (Turkey, €3.5M); Alexandru Maxim (Romania, €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.