RisingTransfers
AI DNA Similarity

Best Alternatives to Umut Meraş

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

Top 3 Alternatives to Umut Meraş

  1. 1.Levent Mercan88% DNA match·Fenerbahçe€5.0M
  2. 2.Mert Müldür85% DNA match·Fenerbahçe€5.0M
  3. 3.Mustafa Eskihellaç85% DNA match·Trabzonspor€3.0M

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

RT

Intelligence Verdict

AssistsTop 16%
???Bottom 0%

Meraş is the quintessential high-volume progressive outlet masquerading as a standard Super Lig...

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Playing Style Analysis

Active Full-BackSmall Sample

Meraş is the quintessential high-volume progressive outlet masquerading as a standard Super Lig fullback. While his raw pass accuracy of 77.9% suggests a mere league-average distributor, the context reveals a far more ambitious operator; he ranks in the top 20% for passes into the final third (6.24/90), proving he is the one tasked with breaking lines rather than recycling possession. Defensively, he is surprisingly robust, sitting in the top 30% for duel success and interceptions, which suggests a high level of tactical anticipation. The three most similar players to Umut Meraş by playing style are:

  • Levent Mercan(88% match)A Active Full-Back. Statistically, he stands out as naturally left-footed, an elite creator (1.6 key passes/90), a reliable supplier (0.24 assists/90), active in the tackle (2.0 tackles/90), meticulous in distribution (85% pass accuracy), wins the physical battle (58% duel success), central to possession (77 touches/90) and active off the ball (2.6 press score/90), contributing to defensive transitions.
  • Mert Müldür(85% match)Müldür occupies a fascinating tactical grey zone—a defender who consistently threatens the opposition goal more than he's troubled by his own. His tackles won rate sits in the top 5% of Super Lig defenders, meaning he's not just positioning well; he's actively winning the ball back at an elite frequency for this league. Pair that with top-20% key passes and shots per 90, and you have someone functioning more like an advanced wing-back than a conventional fullback.
  • Mustafa Eskihellaç(85% match)A Active Full-Back. Statistically, he stands out as a reliable supplier (0.16 assists/90), meticulous in distribution (87% pass accuracy), wins the physical battle (59% duel success), draws fouls effectively (2.3/90) and active off the ball (2.7 press score/90), contributing to defensive transitions.

Transfer Intelligence

Levent Mercan delivers 88% of the same playing style, at a 233% premium over Umut Meraş, with 1.98 tackles won per 90 at age 25.

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

U
Comparison Base
Umut Meraş
DefenderTurkey€1.5M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
L
Levent Mercan
Fenerbahçe · Super Lig
Germany25yContract 2028
Tkl/901.98
KP/901.58
Active Full-Back
Last 5: → Stable
vs Meraş: 5y younger
88% match
€5.0M
#2
M
Mert Müldür
Fenerbahçe · Super Lig
Turkey27yContract 2027
Tkl/902.98
KP/901.18
Physical StopperSmall Sample
Last 5: ↓ Dip
vs Meraş: 3y younger
85% match
€5.0M
#3
M
Mustafa Eskihellaç
Trabzonspor · Super Lig
Turkey29yContract 2027
Tkl/901.66
KP/900.98
Active Full-Back
Last 5: → Stable
85% match
€3.0M
#4
Ü
Ümit Akdağ
Alanyaspor · Super Lig
Romania22yContract 2028
Tkl/901.24
KP/900.62
Ball-Playing CBAerial
Last 5: ↑ Hot
85% match
€4.0M
#5
R
Ricardo Esgaio
Fatih Karagümrük · Super Lig
Portugal32y
Tkl/902.71
KP/900.52
Last 5: ↑ Hot
84% match
€5.5M
#6
D
David Jurásek
Slavia Praha · Super Lig
Czech Republic25yContract 2029
Tkl/901.84
KP/901.27
Last 5: → Stable
84% match
€3.0M
#7
J
Jayden Oosterwolde
Fenerbahçe · Super Lig
Netherlands25yContract 2028
Tkl/901.25
KP/900.28
Ball-Playing CBBall-Playing
Last 5: → Stable
84% match
€16.0M
#8
S
Samet Akaydin
Rizespor · Super Lig
Turkey32yContract 2026
Tkl/901.82
KP/900.46
Ball-Playing CBAerial
Last 5: → Stable
83% match
€3.7M
#9
F
Ferdi Kadıoğlu
Brighton & Hove Albion · Premier League
Turkey26yContract 2028
Tkl/901.71
KP/900.64
Last 5: ↓ Dip
83% match
€28.0M
#10
W
Wagner Pina
Trabzonspor · Super Lig
Portugal23yContract 2029
Tkl/902.10
KP/901.19
Active Full-Back
Last 5: → Stable
83% match
€8.0M
#11
E
Eren Elmalı
Galatasaray · Super Lig
Turkey25yContract 2028
Tkl/901.95
KP/901.51
Active Full-Back
Last 5: ↑ Hot
83% match
€5.0M
#12
R
Roland Sallai
Galatasaray · Super Lig
Hungary28yContract 2028
Tkl/901.79
KP/900.88
Active Full-Back
Last 5: → Stable
82% match
€12.0M

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 Umut Meraş.

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Frequently Asked Questions

Who are the best alternatives to Umut Meraş?
The top alternatives to Umut Meraş based on AI DNA playing style analysis include: Levent Mercan, Mert Müldür, Mustafa Eskihellaç, Ümit Akdağ, Ricardo Esgaio. 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 Umut Meraş in 2026?
Players with a similar profile to Umut Meraş in 2026 include Levent Mercan (€5.0M), Mert Müldür (€5.0M), Mustafa Eskihellaç (€3.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Umut Meraş play and who plays similarly?
Umut Meraş plays as a Defender. Players with a comparable positional profile include Levent Mercan (Germany, €5.0M); Mert Müldür (Turkey, €5.0M); Mustafa Eskihellaç (Turkey, €3.0M); Ümit Akdağ (Romania, €4.0M).
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.