RisingTransfers
AI DNA Similarity

Best Alternatives to Emmanuel Agbadou

Players most similar to Emmanuel Agbadou (Defender, €18.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Emmanuel Agbadou

  1. 1.Nayef Aguerd89% DNA match·Olympique Marseille€35.0M
  2. 2.Malick Thiaw87% DNA match·Newcastle United€45.0M
  3. 3.Marc Guéhi87% DNA match·Manchester City€65.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%

A Ball-Playing CB....

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Playing Style Analysis

Ball-Playing CBAerial

A Ball-Playing CB. Statistically, he stands out as an aggressive ball-winner (2.6 tackles/90), commanding in the air (5.3 clearances/90), wins the physical battle (64% duel success), penetrates with forward passing (9.7 final-third passes/90), wins the ball cleanly (1.9 successful tackles/90), central to possession (71 touches/90), uses long balls frequently (9.6/90) and a high-intensity presser (press score 3.0/90), constantly disrupting opposition build-up. The three most similar players to Emmanuel Agbadou by playing style are:

  • Nayef Aguerd(89% match)A Ball-Playing CB. Statistically, he stands out as naturally left-footed, commanding in the air (4.6 clearances/90), meticulous in distribution (93% pass accuracy), wins the physical battle (58% duel success), heavily involved in possession (87 passes/90), central to possession (99 touches/90) and active off the ball (2.7 press score/90), contributing to defensive transitions.
  • Malick Thiaw(87% match)Thiaw has quietly become one of the Premier League's most complete defensive profiles — a towering centre-back who doesn't just win his battles, he wins them cleanly. His aerial win rate of 65.1% and duel success of 64.2% both sit in the league's top 20%, but the counterintuitive story is his attacking output: 0.16 goals per 90 and 0.98 shots per 90 place him in the top 10% among defenders, suggesting a genuine threat from set-pieces that opponents routinely underestimate. His pass accuracy of 90.6% reflects a ball-player comfortable in possession-heavy systems, and his above-average delivery into the final third adds genuine build-up value.
  • Marc Guéhi(87% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.2 clearances/90), meticulous in distribution (85% pass accuracy), wins the physical battle (64% duel success), uses long balls frequently (6.3/90) and active off the ball (2.5 press score/90), contributing to defensive transitions.

Transfer Intelligence

Nayef Aguerd delivers 89% of the same playing style, at a 94% premium over Emmanuel Agbadou, with 2.00 tackles won per 90 at age 30.

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

E
Comparison Base
Emmanuel Agbadou
DefenderIvory Coast€18.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
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Nayef Aguerd
Olympique Marseille · Ligue 1
Morocco30y
Tkl/902.00
KP/900.00
Ball-Playing CBBall-Playing
vs Agbadou: €17M more expensive · 2y older
89% match
€35.0M
#2
M
Malick Thiaw
Newcastle United · Premier League
Germany24yContract 2029
Tkl/901.29
KP/900.19
Ball-Playing CBAerial
Last 5: ↑ Hot
vs Agbadou: €27M more expensive · 4y younger
87% match
€45.0M
#3
M
Marc Guéhi
Manchester City · Premier League
England25yContract 2026
Tkl/901.55
KP/900.45
Ball-Playing CBAerial
Last 5: → Stable
vs Agbadou: €47M more expensive · 3y younger
87% match
€65.0M
#4
K
Kevin Danso
Tottenham Hotspur · Premier League
Austria27yContract 2030
Tkl/901.84
KP/900.20
Ball-Playing CBBall-Playing
Last 5: → Stable
87% match
€22.0M
#5
J
Joe Rodon
Leeds United · Premier League
Wales28yContract 2028
Tkl/901.14
KP/900.26
Ball-Playing CBAerial
Last 5: → Stable
86% match
€12.0M
#6
M
Marcos Senesi
AFC Bournemouth · Premier League
Argentina29yContract 2026
Tkl/901.71
KP/900.69
Ball-Playing CBBall-Playing
Last 5: → Stable
86% match
€22.0M
#7
C
Calvin Bassey
Fulham · Premier League
Nigeria26yContract 2027
Tkl/902.22
KP/900.34
Ball-Playing CBBall-Playing
Last 5: → Stable
86% match
€28.0M
#8
M
Maxence Lacroix
Crystal Palace · Premier League
France26yContract 2029
Tkl/901.75
KP/900.21
Ball-Playing CBAerial
Last 5: → Stable
86% match
€35.0M
#9
J
Jaka Bijol
Leeds United · Premier League
Slovenia27yContract 2030
Tkl/901.30
KP/900.36
Ball-Playing CBAerial
Last 5: ↓ Dip
86% match
€18.0M
#10
J
Joachim Andersen
Fulham · Premier League
Denmark29yContract 2029
Tkl/901.41
KP/900.22
Ball-Playing CBBall-Playing
Last 5: → Stable
86% match
€25.0M
#11
M
Mohammed Salisu
Monaco · Ligue 1
Ghana27yContract 2028
Tkl/900.20
KP/900.20
Ball-Playing CBBall-Playing
86% match
€10.0M
#12
C
Clément Akpa
Auxerre · Ligue 1
France24yContract 2028
Tkl/901.45
KP/900.09
Ball-Playing CBAerial
Last 5: ↓ Dip
86% match
€8.0M

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 Emmanuel Agbadou.

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Frequently Asked Questions

Who are the best alternatives to Emmanuel Agbadou?
The top alternatives to Emmanuel Agbadou based on AI DNA playing style analysis include: Nayef Aguerd, Malick Thiaw, Marc Guéhi, Kevin Danso, Joe Rodon. 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 Emmanuel Agbadou in 2026?
Players with a similar profile to Emmanuel Agbadou in 2026 include Nayef Aguerd (€35.0M), Malick Thiaw (€45.0M), Marc Guéhi (€65.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Emmanuel Agbadou play and who plays similarly?
Emmanuel Agbadou plays as a Defender. Players with a comparable positional profile include Nayef Aguerd (Morocco, €35.0M); Malick Thiaw (Germany, €45.0M); Marc Guéhi (England, €65.0M); Kevin Danso (Austria, €22.0M).
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.