RisingTransfers
AI DNA Similarity

Best Alternatives to Hassan Tambakti

Players most similar to Hassan Tambakti (Defender, €1.8M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Hassan Tambakti

  1. 1.Jordan Lotomba83% DNA match·Feyenoord€5.0M
  2. 2.Ümit Akdağ82% DNA match·Alanyaspor€4.0M
  3. 3.Ko Itakura82% DNA match·Ajax€10.0M

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

RT

Intelligence Verdict

Press IntensityTop 7%
???Bottom 23%

A Ball-Playing CB....

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Playing Style Analysis

Ball-Playing CBBall-Playing

A Ball-Playing CB. Statistically, he stands out as an aggressive ball-winner (3.3 tackles/90), reads the game exceptionally (1.6 interceptions/90), meticulous in distribution (90% pass accuracy), wins the physical battle (58% duel success), active off the ball (2.9 press score/90), contributing to defensive transitions and top 10% tackler in the league. The three most similar players to Hassan Tambakti by playing style are:

  • Jordan Lotomba(83% match)Lotomba is the kind of full-back who quietly does enough in five different departments without fully owning any of them—a profile that sounds damning until you look at the league context. His 88.5% pass accuracy lands in the top 30% of Eredivisie defenders, and his assist rate per 90 sits in the top 20%, suggesting a genuine threat in transition despite a dribble count that also cracks that same elite bracket. Here's the counterintuitive part: his suspiciously low passes-per-90 figure—bottom 10% in the league—likely reflects positional role and game state rather than technical limitation, given how clean his accuracy numbers are when he does receive.
  • Ümit Akdağ(82% match)A Ball-Playing CB. Statistically, he stands out as naturally left-footed, commanding in the air (5.1 clearances/90), wins the physical battle (56% duel success), uses long balls frequently (6.8/90) and active off the ball (2.2 press score/90), contributing to defensive transitions.
  • Ko Itakura(82% match)Itakura is the kind of defender who wins games in the margins — not with last-ditch tackles, but with the quiet authority of a man who rarely puts the ball in the wrong place. His 93.3% pass accuracy sits in the top 5% of Eredivisie defenders, which tells you this isn't a player just lumping it clear; he's building from the back with genuine precision. His aerial and ground duel win rates both land in the top 20%, making him a reliably dominant physical presence.

Transfer Intelligence

Jordan Lotomba delivers 83% of the same playing style, at a 178% premium over Hassan Tambakti, with 1.66 tackles won per 90 at age 27.

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

H
Comparison Base
Hassan Tambakti
DefenderSaudi Arabia€1.8M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
J
Jordan Lotomba
Feyenoord · Eredivisie
Switzerland27yContract 2027
Tkl/901.66
KP/900.39
Last 5: ↑ Hot
83% match
€5.0M
#2
Ü
Ümit Akdağ
Alanyaspor · Super Lig
Romania22yContract 2028
Tkl/901.24
KP/900.62
Ball-Playing CBAerial
Last 5: ↑ Hot
vs Tambakti: 5y younger
82% match
€4.0M
#3
K
Ko Itakura
Ajax · Eredivisie
Japan29yContract 2029
Tkl/901.15
KP/900.14
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
vs Tambakti: €8M more expensive · 2y older
82% match
€10.0M
#4
L
Lucas Rosa
Ajax · Eredivisie
Brazil26yContract 2029
Tkl/902.89
KP/900.35
Active Full-Back
Last 5: ↑ Hot
83% match
€4.0M
#5
A
Abdülkerim Bardakcı
Galatasaray · Super Lig
Turkey31yContract 2027
Tkl/901.45
KP/900.56
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
82% match
€6.5M
#6
M
Montassar Talbi
Lorient · Ligue 1
Tunisia27yContract 2027
Tkl/900.70
KP/900.30
Ball-Playing CBAerial
82% match
€7.0M
#7
B
Bram Nuytinck
NEC Nijmegen · Eredivisie
Netherlands36y
Tkl/901.08
KP/900.00
Ball-Playing CBBall-Playing
Last 5: → Stable
82% match
€3.0M
#8
D
Daniel Elfadli
Hamburger SV · Bundesliga
Libya29yContract 2028
Tkl/902.46
KP/900.27
Ball-Playing CBAerial
82% match
€3.5M
#9
B
Bright Arrey-Mbi
Sporting Braga · Liga Portugal
Germany23yContract 2029
Tkl/901.72
KP/900.10
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
81% match
€7.0M
#10
S
Samson Baidoo
Lens · Ligue 1
Austria22yContract 2030
Tkl/901.98
KP/900.28
Ball-Playing CBAerial
Last 5: → Stable
81% match
€12.0M
#11
A
Arseniy Batagov
Trabzonspor · Super Lig
Ukraine24yContract 2028
Tkl/901.82
KP/900.62
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
81% match
€11.0M
#12
A
Antoine Mendy
Nice · Ligue 1
France21yContract 2028
Tkl/903.14
KP/900.00
Ball-Playing CBAerial
Last 5: → Stable
81% match
€4.0M

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 Hassan Tambakti.

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Frequently Asked Questions

Who are the best alternatives to Hassan Tambakti?
The top alternatives to Hassan Tambakti based on AI DNA playing style analysis include: Jordan Lotomba, Ümit Akdağ, Ko Itakura, Lucas Rosa, Abdülkerim Bardakcı. 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 Hassan Tambakti in 2026?
Players with a similar profile to Hassan Tambakti in 2026 include Jordan Lotomba (€5.0M), Ümit Akdağ (€4.0M), Ko Itakura (€10.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Hassan Tambakti play and who plays similarly?
Hassan Tambakti plays as a Defender. Players with a comparable positional profile include Jordan Lotomba (Switzerland, €5.0M); Ümit Akdağ (Romania, €4.0M); Ko Itakura (Japan, €10.0M); Lucas Rosa (Brazil, €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.