AI DNA Similarity
Best Alternatives to A. Tataev
Players most similar to A. Tataev (Defender, €860K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to A. Tataev
- 1.Nikita Andreev82% DNA match·Middelfart
- 2.Orest Lebedenko81% DNA match·Vitória Guimarães
- 3.Houboulang Mendes80% DNA match·Fortuna Sittard
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
Chances MissedTop 0%
???Bottom 0%
“Aleksey Tataev is a Defender....”
See Full Verdict + Share Card →Playing Style Analysis
Aleksey Tataev is a Defender. Solid defensive option. The three most similar players to A. Tataev by playing style are:
- Nikita Andreev(82% match) — Mads Greve is a Defender. Solid defensive option.
- Orest Lebedenko(81% match) — A Defender. Statistically, he stands out as active in the tackle (2.0 tackles/90), wins the physical battle (57% duel success) and top 10% tackler in the league.
- Houboulang Mendes(80% match) — Houboulang Mendes is a Defender. Solid defensive option.
Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →
Similar Players — Ranked by DNA Similarity
#1
N
Nikita Andreev
Middelfart · Superliga
Denmark36y
Tkl/901.17
KP/900.20
vs Tataev: 9y older
82% match
N/A
#2
O
Orest Lebedenko
Vitória Guimarães · Liga Portugal
Ukraine27yContract 2028
Tkl/902.27
KP/900.82
81% match
N/A
#3
H
Houboulang Mendes
Fortuna Sittard · Eredivisie
Guinea-Bissau28y
Tkl/901.66
KP/900.69
80% match
N/A
#4
M
Matthias Zimmermann
Fortuna Düsseldorf · Bundesliga
Germany33yContract 2026
Tkl/903.06
KP/901.02
78% match
N/A
#5
D
Damian van der Haar
PEC Zwolle · Eredivisie
Netherlands22yContract 2028
Tkl/901.75
KP/900.72
Solid Defender
78% match
N/A
#6
D
Dean van der Sluys
Kozakken Boys · Eredivisie
Netherlands30y
Tkl/901.49
KP/900.87
Solid Defender
78% match
N/A
#7
W
Wouter Prins
FC Groningen · Eredivisie
Netherlands22y
Tkl/904.38
KP/900.76
78% match
N/A
#8
A
Abdulsamet Burak
Kayserispor · Super Lig
Netherlands29y
Tkl/901.43
KP/900.48
Ball-Playing CB
78% match
N/A
#9
S
Simon Asta
Kaiserslautern · Bundesliga
Germany25y
Tkl/901.89
KP/900.00
Small Sample
Last 5: → Stable77% match
N/A
#10
M
Manel Royo
Teruel · Eredivisie
Spain32y
Tkl/900.00
KP/900.00
Small Sample
78% match
N/A
#11
M
Marco Meyerhöfer
Preußen Münster · Bundesliga
Germany30y
Tkl/902.14
KP/900.62
77% match
N/A
#12
J
Justin Janitzek
Wehen Wiesbaden · Bundesliga
Germany22y
Tkl/900.25
KP/900.00
Small Sample
78% match
N/A
⬡
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 A. Tataev.
Ask AI about A. Tataev →Frequently Asked Questions
Who are the best alternatives to A. Tataev?▼
The top alternatives to A. Tataev based on AI DNA playing style analysis include: Nikita Andreev, Orest Lebedenko, Houboulang Mendes, Matthias Zimmermann, Damian van der Haar. 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 A. Tataev in 2026?▼
Players with a similar profile to A. Tataev in 2026 include Nikita Andreev (N/A), Orest Lebedenko (N/A), Houboulang Mendes (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does A. Tataev play and who plays similarly?▼
A. Tataev plays as a Defender. Players with a comparable positional profile include Nikita Andreev (Denmark, N/A); Orest Lebedenko (Ukraine, N/A); Houboulang Mendes (Guinea-Bissau, N/A); Matthias Zimmermann (Germany, N/A).
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.