RisingTransfers
AI DNA Similarity

Best Alternatives to Salih Uçan

Players most similar to Salih Uçan (Midfielder, €1.2M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Salih Uçan

  1. 1.Salih Özcan87% DNA match·Borussia Dortmund€3.5M
  2. 2.Alexandru Maxim84% DNA match·Gaziantep F.K.€3.0M
  3. 3.Ernest Muci85% DNA match·Trabzonspor€11.0M

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

RT

Intelligence Verdict

Tackles WonTop 2%

A Ball-Winner....

See Full Verdict + Share Card →

Playing Style Analysis

Ball-WinnerDefensiveSmall Sample

A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (3.5 tackles/90), reads the game exceptionally (1.6 interceptions/90), wins the physical battle (56% duel success), wins the ball cleanly (2.3 successful tackles/90), heavily involved in play (69 touches/90), a high-intensity presser (press score 3.4/90), constantly disrupting opposition build-up and top 10% tackler in the league. Note: this profile is based on 509 minutes of playing time this season. The three most similar players to Salih Uçan by playing style are:

  • Salih Özcan(87% 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.
  • Alexandru Maxim(84% match)Maxim is the quintessential Super Lig puppet master, a high-volume creator who thrives on the edge of chaos for a Tier C side where he is the undisputed offensive heartbeat. While his team struggles for dominance, Maxim operates in a different stratosphere, ranking in the top 5% of the league for both key passes (3.15/90) and assists, proving he is not just a facilitator but a primary architect. His 7.43 passes into the final third place him in the elite bracket of progressive distributors, yet the counterintuitive reality of his profile lies in his physicality; despite a low volume of aerial duels, his 50% win rate suggests a player with high tactical intelligence in positioning rather than raw power.
  • Ernest Muci(85% match)A Creator. Statistically, he stands out as an elite creator (2.4 key passes/90), a constant goal threat (3.8 shots/90), a proven goalscorer (0.58 goals/90), a reliable supplier (0.16 assists/90), meticulous in distribution (87% pass accuracy), heavily involved in play (57 touches/90) and top 10% creator in the league.

Transfer Intelligence

Salih Özcan delivers 87% of the same playing style, at a 192% premium over Salih Uçan, with 1.26 key passes per 90 at age 28.

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

S
Comparison Base
Salih Uçan
MidfielderTurkey€1.2M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
S
Salih Özcan
Borussia Dortmund · Bundesliga
Turkey28yContract 2026
KP/901.26
G/900.00
MetronomeSmall Sample
vs Uçan: 4y younger
87% match
€3.5M
#2
A
Alexandru Maxim
Gaziantep F.K. · Super Lig
Romania35y
KP/903.31
G/900.17
Box-to-BoxCreative
Last 5: → Stable
vs Uçan: 3y older
84% match
€3.0M
#3
E
Ernest Muci
Trabzonspor · Super Lig
Albania25yContract 2026
KP/902.41
G/900.58
CreatorCreative
Last 5: → Stable
vs Uçan: €10M more expensive · 7y younger
85% match
€11.0M
#4
F
Fred
Fenerbahçe · Super Lig
Brazil33yContract 2027
KP/902.28
G/900.13
CreatorCreative
Last 5: ↑ Hot
83% match
€7.0M
#5
O
Orkun Kökçü
Beşiktaş · Super Lig
Turkey25yContract 2026
KP/903.19
G/900.30
CreatorCreative
Last 5: → Stable
84% match
€25.0M
#6
L
Lucas Torreira
Galatasaray · Super Lig
Uruguay30yContract 2028
KP/900.97
G/900.12
Metronome
Last 5: ↓ Dip
83% match
€12.0M
#7
S
Sam Larsson
Fatih Karagümrük · Super Lig
Sweden33y
KP/902.11
G/900.06
CreatorCreative
Last 5: → Stable
83% match
€5.0M
#8
A
Amine Harit
İstanbul Başakşehir · Super Lig
Morocco28y
KP/902.21
G/900.12
Box-to-BoxCreative
Last 5: ↓ Dip
82% match
€5.0M
#9
T
Tim Jabol-Folcarelli
Trabzonspor · Super Lig
France26yContract 2029
KP/900.68
G/900.00
Box-to-Box
Last 5: ↓ Dip
83% match
€5.0M
#10
E
Edson Álvarez
Fenerbahçe · Super Lig
Mexico28yContract 2026
KP/901.05
G/900.00
Chance Creator
83% match
€22.0M
#11
D
Demir Ege Tıknaz
Sporting Braga · Liga Portugal
Turkey21yContract 2028
KP/900.78
G/900.00
Ball-WinnerDefensive
Last 5: ↓ Dip
82% match
€6.0M
#12
C
Christ Inao Oulaï
Trabzonspor · Super Lig
Ivory Coast20yContract 2030
KP/901.75
G/900.09
Box-to-BoxCreative
Last 5: → Stable
83% match
€8.0M

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 Salih Uçan.

Ask AI about Salih Uçan

Frequently Asked Questions

Who are the best alternatives to Salih Uçan?
The top alternatives to Salih Uçan based on AI DNA playing style analysis include: Salih Özcan, Alexandru Maxim, Ernest Muci, Fred, Orkun Kökçü. 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 Salih Uçan in 2026?
Players with a similar profile to Salih Uçan in 2026 include Salih Özcan (€3.5M), Alexandru Maxim (€3.0M), Ernest Muci (€11.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Salih Uçan play and who plays similarly?
Salih Uçan plays as a Midfielder. Players with a comparable positional profile include Salih Özcan (Turkey, €3.5M); Alexandru Maxim (Romania, €3.0M); Ernest Muci (Albania, €11.0M); Fred (Brazil, €7.0M).
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.