AI DNA Similarity
Best Alternatives to Tarik Muharemović
Players most similar to Tarik Muharemović (Defender, €20.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Tarik Muharemović
- 1.Ardian Ismajli88% DNA match·Torino€6.0M
- 2.Lloyd Kelly85% DNA match·Juventus€20.0M
- 3.Amir Rrahmani 86% DNA match·Napoli€12.0M
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
InterceptionsTop 24%
???Bottom 17%
“A Ball-Playing CB....”
See Full Verdict + Share Card →Playing Style Analysis
Ball-Playing CBAerial
A Ball-Playing CB. Statistically, he stands out as naturally left-footed, commanding in the air (6.9 clearances/90), meticulous in distribution (86% pass accuracy), wins the physical battle (76% duel success) and uses long balls frequently (5.5/90). The three most similar players to Tarik Muharemović by playing style are:
- Ardian Ismajli(88% match) — A Physical Stopper. Statistically, he stands out as active in the tackle (2.2 tackles/90), commanding in the air (6.5 clearances/90), reads the game exceptionally (1.9 interceptions/90), wins the physical battle (62% duel success), uses long balls frequently (6.3/90) and active off the ball (2.1 press score/90), contributing to defensive transitions. Note: this profile is based on 719 minutes of playing time this season.
- Lloyd Kelly(85% match) — Kelly has quietly become one of Serie A's most complete defensive presences — a left-sided centre-back who dominates physically without sacrificing technical composure. His aerial win rate sits in the top 10% of the league, and crucially, he wins those duels at volume too — 3.00 per 90 puts him in the top 20% for aerial output. The counterintuitive finding here is his dribbling: 0.57 per 90 in the top 20% for a defender signals genuine ball-carrying confidence, which explains why his 60.2 passes per 90 doesn't just represent safety-first recycling but active progression.
- Amir Rrahmani (86% match) — A Ball-Playing CB. Statistically, he stands out as meticulous in distribution (91% pass accuracy), wins the physical battle (66% duel success), heavily involved in possession (79 passes/90), central to possession (89 touches/90), dominant in the air (3.4 aerials won/90, 63%), uses long balls frequently (5.0/90) and active off the ball (2.0 press score/90), contributing to defensive transitions.
Transfer Intelligence
Ardian Ismajli delivers 88% of the same playing style, at 70% lower cost (€6.0M vs €20.0M), with 2.25 tackles won per 90 at age 29.
Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →
Similar Players — Ranked by DNA Similarity
#1
A
Ardian Ismajli
Torino · Serie A
Albania29yContract 2027
Tkl/902.25
KP/900.38
Physical StopperAerial
vs Muharemović: €14M cheaper · 6y older
88% match
€6.0M
#2
L
Lloyd Kelly
Juventus · Serie A
England27yContract 2029
Tkl/901.77
KP/900.11
Ball-Playing CBBall-Playing
Last 5: → Stablevs Muharemović: 4y older
85% match
€20.0M
#3
A
Amir Rrahmani
Napoli · Serie A
Kosovo32yContract 2027
Tkl/901.14
KP/900.07
Ball-Playing CBBall-Playing
Last 5: ↓ Dipvs Muharemović: €8M cheaper · 9y older
86% match
€12.0M
#4
A
Alessandro Circati
Parma · Serie A
Australia22yContract 2029
Tkl/901.67
KP/900.17
Ball-Playing CBAerial
Last 5: → Stable86% match
€8.0M
#5
A
Anel Ahmedhodzic
Feyenoord · Eredivisie
Bosnia and Herzegovina27yContract 2029
Tkl/901.10
KP/900.53
Ball-Playing CBBall-Playing
Last 5: → Stable85% match
€12.0M
#6
J
Jacobo Ramón
Como · Serie A
Spain21yContract 2030
Tkl/901.95
KP/900.43
Ball-Playing CBBall-Playing
Last 5: ↓ Dip85% match
€18.0M
#7
B
Berat Djimsiti
Atalanta · Serie A
Albania33yContract 2026
Tkl/901.93
KP/900.19
Ball-Playing CBBall-Playing
Last 5: → Stable85% match
€5.0M
#8
M
Martin Vitík
Bologna · Serie A
Czech Republic23yContract 2029
Tkl/902.06
KP/900.55
Aerial Defender
Last 5: → Stable85% match
€10.0M
#9
N
Nico Elvedi
Borussia Mönchengladbach · Bundesliga
Switzerland29yContract 2027
Tkl/901.70
KP/900.20
Ball-Playing CBAerial
85% match
€4.0M
#10
C
Carlos Augusto
Inter · Serie A
Brazil27yContract 2028
Tkl/902.48
KP/900.83
Active Full-BackBall-Playing
Last 5: ↓ Dip85% match
€26.0M
#11
S
Simone Canestrelli
Pisa · Serie A
Italy25yContract 2028
Tkl/901.19
KP/900.30
Physical StopperAerial
Last 5: → Stable84% match
€7.0M
#12
A
Alessandro Buongiorno
Napoli · Serie A
Italy26yContract 2029
Tkl/900.98
KP/900.00
Reading Defender
Last 5: ↑ Hot85% match
€45.0M
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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 Tarik Muharemović.
Ask AI about Tarik Muharemović →Frequently Asked Questions
Who are the best alternatives to Tarik Muharemović?▼
The top alternatives to Tarik Muharemović based on AI DNA playing style analysis include: Ardian Ismajli, Lloyd Kelly, Amir Rrahmani , Alessandro Circati, Anel Ahmedhodzic. 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 Tarik Muharemović in 2026?▼
Players with a similar profile to Tarik Muharemović in 2026 include Ardian Ismajli (€6.0M), Lloyd Kelly (€20.0M), Amir Rrahmani (€12.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Tarik Muharemović play and who plays similarly?▼
Tarik Muharemović plays as a Defender. Players with a comparable positional profile include Ardian Ismajli (Albania, €6.0M); Lloyd Kelly (England, €20.0M); Amir Rrahmani (Kosovo, €12.0M); Alessandro Circati (Australia, €8.0M).
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.