AI DNA Similarity
Best Alternatives to Ayumu Seko
Players most similar to Ayumu Seko (Midfielder, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
A Ball-Winner. Statistically, he stands out as wins the physical battle (64% duel success) and uses long balls frequently (5.4/90). The three most similar players to Ayumu Seko by playing style are:
- Matteo Prati(97% match) — A Ball-Winner. Statistically, he stands out as heavily involved in play (50 touches/90) and uses long balls frequently (5.9/90).
- Mateja Stjepanović(95% match) — A Ball-Winner. Statistically, he stands out as meticulous in distribution (85% pass accuracy), heavily involved in play (55 touches/90) and uses long balls frequently (5.3/90).
- Mike Vestergård(95% match) — A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (3.6 tackles/90), wins the ball cleanly (2.0 successful tackles/90), heavily involved in play (53 touches/90), uses long balls frequently (5.6/90), a high-intensity presser (press score 3.4/90), constantly disrupting opposition build-up and top 10% tackler in the league.
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
M
Matteo Prati
Torino · Serie A
Italy22yContract 2028
KP/900.64
G/900.07
Ball-Winner
Last 5: → Stable97% match
€6.0M
#2
M
Mateja Stjepanović
Moreirense · Liga Portugal
Serbia22yContract 2029
KP/900.25
G/900.05
Ball-Winner
Last 5: ↓ Dip95% match
N/A
#3
M
Mike Vestergård
Vejle Boldklub · Superliga
Denmark28y
KP/900.58
G/900.00
Ball-WinnerDefensive
Last 5: → Stable95% match
N/A
#4
J
Joris Chotard
Brest · Ligue 1
France24yContract 2029
KP/900.25
G/900.08
Ball-Winner
Last 5: → Stable95% match
€6.0M
#5
P
Pepelu
Valencia · La Liga
Spain27yContract 2028
KP/901.05
G/900.11
Ball-WinnerDefensive
95% match
€9.0M
#6
B
Benjamin André
LOSC Lille · Ligue 1
France35yContract 2026
KP/901.06
G/900.10
Ball-Winner
Last 5: → Stable95% match
€4.0M
#7
S
Sandro Tonali
Newcastle United · Premier League
Italy25yContract 2028
KP/901.14
G/900.00
Ball-Winner
Last 5: ↑ Hot95% match
€80.0M
#8
K
Kristjan Asllani
Beşiktaş · Serie A
Albania24yContract 2026
KP/901.19
G/900.00
Ball-Winner
Last 5: → Stable95% match
€13.0M
#9
J
Joelinton
Newcastle United · Premier League
Brazil29yContract 2028
KP/900.84
G/900.11
Ball-Winner
Last 5: ↓ Dip94% match
€30.0M
#10
A
Adam Carlén
Excelsior · Eredivisie
Sweden25yContract 2027
KP/900.46
G/900.00
Ball-WinnerDefensive
Last 5: ↓ Dip95% match
N/A
#11
Y
Yusuf Kocatürk
Ümraniyespor · Super Lig
Turkey21yContract 2026
KP/900.33
G/900.00
Box-to-Box
Last 5: ↓ Dip94% match
N/A
#12
S
Stefan Bajcetic
Liverpool · Premier League
Spain21yContract 2027
KP/901.04
G/900.00
Ball-WinnerDefensive
94% match
€7.0M
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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 Ayumu Seko.
Ask AI about Ayumu Seko →Frequently Asked Questions
Who are the best alternatives to Ayumu Seko?▼
The top alternatives to Ayumu Seko based on AI DNA playing style analysis include: Matteo Prati, Mateja Stjepanović, Mike Vestergård, Joris Chotard, Pepelu. 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 Ayumu Seko in 2026?▼
Players with a similar profile to Ayumu Seko in 2026 include Matteo Prati (€6.0M), Mateja Stjepanović (N/A), Mike Vestergård (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Ayumu Seko play and who plays similarly?▼
Ayumu Seko plays as a Midfielder. Players with a comparable positional profile include Matteo Prati (Italy, €6.0M); Mateja Stjepanović (Serbia, N/A); Mike Vestergård (Denmark, N/A); Joris Chotard (France, €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.