RisingTransfers
AI DNA Similarity

Best Alternatives to Eljif Elmas

Players most similar to Eljif Elmas (Midfielder, €2.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Eljif Elmas

  1. 1.Teun Koopmeiners87% DNA match·Juventus€28.0M
  2. 2.Bryan Cristante86% DNA match·Roma€7.0M
  3. 3.Nicolò Zaniolo86% DNA match·Udinese€13.0M

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

RT

Intelligence Verdict

Dribbled PastTop 15%
???Bottom 0%

A Creator....

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Playing Style Analysis

Creator

A Creator. Statistically, he stands out as a capable chance creator (1.5 key passes/90), a reliable supplier (0.19 assists/90), meticulous in distribution (88% pass accuracy) and wins the physical battle (58% duel success). The three most similar players to Eljif Elmas by playing style are:

  • Teun Koopmeiners(87% match)Koopmeiners is the rare midfielder who makes a team's build-up feel inevitable rather than effortful—a conductor who turns possession into progression with surgical consistency. His 91.1% pass accuracy places him in the top 10% of Serie A midfielders, but the more telling number is his 8.79 passes into the final third per 90, also top 10%—this isn't a recycler, it's a penetrator. His duel win rate of 51.4% reads as quietly above average, yet his tackling numbers tell a more honest story: he wins the ball through positioning and interception rather than aggression, making him vulnerable when pressed into direct defensive battles.
  • Bryan Cristante(86% match)Cristante has quietly become one of Serie A's most underrated distribution engines — a midfielder who doesn't dazzle but consistently moves teams forward with purpose. His passes into the final third rank in the top 5% of the league, which tells the real story: this isn't a recycler, it's a progressor. The counterintuitive read on his average key pass numbers is that Cristante is threading balls *into* dangerous areas, not completing the final action himself — he's the architect before the architect.
  • Nicolò Zaniolo(86% match)A Creator. Statistically, he stands out as an elite creator (2.7 key passes/90), a constant goal threat (2.9 shots/90), a regular goalscorer (0.21 goals/90), a reliable supplier (0.21 assists/90), heavily involved in play (50 touches/90), draws fouls effectively (2.3/90), active off the ball (2.0 press score/90), contributing to defensive transitions and top 10% creator in the league. However, he loses possession under pressure (2.5 dispossessed/90).

Transfer Intelligence

Teun Koopmeiners delivers 87% of the same playing style, at a 1300% premium over Eljif Elmas, with 0.72 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 →

E
Comparison Base
Eljif Elmas
MidfielderMacedonia€2.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
T
Teun Koopmeiners
Juventus · Serie A
Netherlands28yContract 2029
KP/900.72
G/900.24
Chance Creator
Last 5: → Stable
vs Elmas: €26M more expensive · 2y older
87% match
€28.0M
#2
B
Bryan Cristante
Roma · Serie A
Italy31yContract 2027
KP/900.88
G/900.05
Metronome
Last 5: ↓ Dip
vs Elmas: 5y older
86% match
€7.0M
#3
N
Nicolò Zaniolo
Udinese · Serie A
Italy26yContract 2026
KP/902.74
G/900.20
CreatorCreative
Last 5: ↑ Hot
vs Elmas: €11M more expensive
86% match
€13.0M
#4
S
Sergio Lozano
Levante · La Liga
Spain27yContract 2027
KP/900.94
G/900.94
Ball-WinnerCreative
Last 5: → Stable
85% match
€6.0M
#5
T
Tomas Suslov
Hellas Verona · Serie A
Slovakia23yContract 2027
KP/900.48
G/900.00
Creator
Last 5: → Stable
85% match
€5.0M
#6
M
Mario Pašalić
Atalanta · Serie A
Croatia31yContract 2028
KP/901.75
G/900.10
Creative Playmaker
Last 5: ↓ Dip
85% match
€7.0M
#7
C
Cristian Volpato
Sassuolo · Serie A
Italy22yContract 2028
KP/901.88
G/900.00
CreatorCreative
85% match
€10.0M
#8
S
Stanislav Lobotka
Napoli · Serie A
Slovakia31yContract 2027
KP/900.54
G/900.06
Last 5: ↓ Dip
85% match
€18.0M
#9
P
Peer Koopmeiners
AZ · Eredivisie
Netherlands26yContract 2028
KP/901.10
G/900.09
Ball-WinnerDefensive
Last 5: → Stable
85% match
€10.0M
#10
C
C. Stengs
Pisa · Serie A
Netherlands27y
KP/902.44
G/900.14
CreatorCreative
85% match
€6.0M
#11
K
Kristjan Asllani
Beşiktaş · Serie A
Albania24yContract 2026
KP/900.99
G/900.22
Ball-WinnerSmall Sample
Last 5: → Stable
85% match
€13.0M
#12
S
Sandi Lovrić
Hellas Verona · Serie A
Slovenia28yContract 2027
KP/900.94
G/900.00
Creator
84% match
€6.0M

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 Eljif Elmas.

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Frequently Asked Questions

Who are the best alternatives to Eljif Elmas?
The top alternatives to Eljif Elmas based on AI DNA playing style analysis include: Teun Koopmeiners, Bryan Cristante, Nicolò Zaniolo, Sergio Lozano, Tomas Suslov. 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 Eljif Elmas in 2026?
Players with a similar profile to Eljif Elmas in 2026 include Teun Koopmeiners (€28.0M), Bryan Cristante (€7.0M), Nicolò Zaniolo (€13.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Eljif Elmas play and who plays similarly?
Eljif Elmas plays as a Midfielder. Players with a comparable positional profile include Teun Koopmeiners (Netherlands, €28.0M); Bryan Cristante (Italy, €7.0M); Nicolò Zaniolo (Italy, €13.0M); Sergio Lozano (Spain, €6.0M).
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.