RisingTransfers
AI DNA Similarity

Best Alternatives to Jefferson

Players most similar to Jefferson (Midfielder, €8.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Jefferson

  1. 1.Alexandru Maxim84% DNA match·Gaziantep F.K.€3.0M
  2. 2.Diogo Gonçalves83% DNA match·Konyaspor€3.0M
  3. 3.İsak Vural83% DNA match·Pisa€4.5M

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

RT

Intelligence Verdict

DribblesTop 15%
???Bottom 9%

Jefferson occupies a rare space in Turkey's 1....

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Playing Style Analysis

Box-to-Box

Jefferson occupies a rare space in Turkey's 1. Lig: a midfielder who wins aerial duels at a rate that belongs in a centre-back's profile, yet consistently moves the ball into dangerous territory. That 71.4% aerial win rate places him in the top 5% of midfielders in the division—a physical dominance that quietly anchors his team's transitions and set-piece phases. The three most similar players to Jefferson by playing style are:

  • 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.
  • Diogo Gonçalves(83% match)Gonçalves is a high-volume trigger-man operating as a sophisticated creative hub within a Tier-C Super Lig side that often struggles to match his vision. While his 83.3% pass accuracy suggests a safe distributor, the reality is far more aggressive; he ranks in the top 5% of the league for shots (2.69/90) and the top 20% for key passes, proving he is the primary engine of chance creation rather than a mere passenger. The counterintuitive insight lies in his dribbling: despite a modest 0.79/90, he is above the league average, suggesting he uses the carry to buy space for a killer ball rather than to beat a man for the sake of it.
  • İsak Vural(83% match)A Ball-Winner. Statistically, he stands out as wins the physical battle (60% duel success) and draws fouls effectively (4.0/90). Note: this profile is based on 579 minutes of playing time this season.

Transfer Intelligence

Alexandru Maxim delivers 84% of the same playing style, at 63% lower cost (€3.0M vs €8.0M), with 3.31 key passes per 90 at age 35.

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

J
Comparison Base
Jefferson
MidfielderBrazil€8.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
A
Alexandru Maxim
Gaziantep F.K. · Super Lig
Romania35y
KP/903.31
G/900.17
Box-to-BoxCreative
Last 5: → Stable
vs Jefferson: 3y older
84% match
€3.0M
#2
D
Diogo Gonçalves
Konyaspor · Super Lig
Portugal29yContract 2026
G/900.81
A/900.00
Left WingCreator
Last 5: → Stable
vs Jefferson: 3y younger
83% match
€3.0M
#3
İ
İsak Vural
Pisa · Serie A
Sweden19yContract 2028
KP/900.23
G/900.00
Ball-WinnerSmall Sample
vs Jefferson: 13y younger
83% match
€4.5M
#4
L
Leandro Barreiro
Benfica · Liga Portugal
Luxembourg26yContract 2029
KP/901.09
G/900.16
Box-to-Box
Last 5: ↑ Hot
82% match
€15.0M
#5
D
Diego Moreira
Strasbourg · Ligue 1
Portugal21yContract 2029
KP/901.58
G/900.00
Box-to-BoxCreative
Last 5: → Stable
82% match
€18.0M
#6
F
Florent Hadergjonaj
Alanyaspor · Super Lig
Kosovo31yContract 2027
KP/901.78
G/900.25
CreatorCreative
Last 5: → Stable
83% match
€5.0M
#7
M
Manu Silva
Benfica · Liga Portugal
Portugal24yContract 2030
KP/901.38
G/900.13
Ball-WinnerDefensive
Last 5: ↑ Hot
83% match
€10.0M
#8
L
Lucas Torreira
Galatasaray · Super Lig
Uruguay30yContract 2028
KP/900.97
G/900.12
Metronome
Last 5: ↓ Dip
82% match
€12.0M
#9
X
Xeka
Estoril · Liga Portugal
Portugal31yContract 2028
KP/900.16
G/900.16
Box-to-BoxDefensive
Last 5: ↑ Hot
81% match
€5.0M
#10
D
Dani Silva
FC Midtjylland · Superliga
Portugal26yContract 2029
KP/901.19
G/900.00
Balanced MidfielderSmall Sample
82% match
€3.5M
#11
S
Salih Özcan
Borussia Dortmund · Bundesliga
Turkey28yContract 2026
KP/901.26
G/900.00
MetronomeSmall Sample
82% match
€3.5M
#12
F
Fred
Fenerbahçe · Super Lig
Brazil33yContract 2027
KP/902.28
G/900.13
CreatorCreative
Last 5: ↑ Hot
81% match
€7.0M

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 Jefferson.

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Frequently Asked Questions

Who are the best alternatives to Jefferson?
The top alternatives to Jefferson based on AI DNA playing style analysis include: Alexandru Maxim, Diogo Gonçalves, İsak Vural, Leandro Barreiro, Diego Moreira. 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 Jefferson in 2026?
Players with a similar profile to Jefferson in 2026 include Alexandru Maxim (€3.0M), Diogo Gonçalves (€3.0M), İsak Vural (€4.5M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Jefferson play and who plays similarly?
Jefferson plays as a Midfielder. Players with a comparable positional profile include Alexandru Maxim (Romania, €3.0M); Diogo Gonçalves (Portugal, €3.0M); İsak Vural (Sweden, €4.5M); Leandro Barreiro (Luxembourg, €15.0M).
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.