RisingTransfers
AI DNA Similarity

Best Alternatives to Aymeric Laporte

Players most similar to Aymeric Laporte (Defender, €9.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Aymeric Laporte

  1. 1.Eric Bailly86% DNA match·Real Oviedo€38.0M
  2. 2.Manuel Akanji84% DNA match·Inter€22.0M
  3. 3.Dani Vivian84% DNA match·Athletic Club€25.0M

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

RT

Intelligence Verdict

Aerials WonTop 10%
???Bottom 19%

A Ball-Playing CB....

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Playing Style Analysis

Ball-Playing CBAerial

A Ball-Playing CB. Statistically, he stands out as naturally left-footed, commanding in the air (5.7 clearances/90), meticulous in distribution (90% pass accuracy), wins the physical battle (68% duel success), dominant in the air (3.0 aerials won/90, 65%) and switches play with precision (6.0 long balls/90, 60% accuracy). The three most similar players to Aymeric Laporte by playing style are:

  • Eric Bailly(86% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (6.6 clearances/90), reads the game exceptionally (1.7 interceptions/90), meticulous in distribution (88% pass accuracy), wins the physical battle (67% duel success), blocks shots courageously (1.6 blocks/90), uses long balls frequently (5.0/90) and active off the ball (2.3 press score/90), contributing to defensive transitions. Note: this profile is based on 684 minutes of playing time this season.
  • Manuel Akanji(84% match)Akanji builds play with the precision of a midfielder wearing a centre-back's shirt—his 92.2% pass accuracy sits in the top 10% of Serie A defenders, and his 67.5 passes per 90 ranks in the top 5%, making him one of the league's most active distributors from deep. His 6.43 passes into the final third per 90 places him in the top 20%, meaning his value isn't just in keeping possession clean but in genuinely advancing it. The counterintuitive read here: his aerial win rate of 44.1% looks soft, yet he wins 1.62 aerials per 90 above the positional average—he's simply not seeking duels he can avoid, which speaks to intelligence rather than deficiency.
  • Dani Vivian(84% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.4 clearances/90), meticulous in distribution (85% pass accuracy), uses long balls frequently (6.9/90) and active off the ball (2.4 press score/90), contributing to defensive transitions.

Transfer Intelligence

Eric Bailly delivers 86% of the same playing style, at a 322% premium over Aymeric Laporte, with 1.06 tackles won per 90 at age 32.

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

A
Comparison Base
Aymeric Laporte
DefenderSpain€9.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
E
Eric Bailly
Real Oviedo · La Liga
Ivory Coast32yContract 2027
Tkl/901.06
KP/900.00
Ball-Playing CBAerial
vs Laporte: €29M more expensive
86% match
€38.0M
#2
M
Manuel Akanji
Inter · Serie A
Switzerland30yContract 2026
Tkl/901.47
KP/900.20
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
vs Laporte: €13M more expensive
84% match
€22.0M
#3
D
Dani Vivian
Athletic Club · La Liga
Spain26yContract 2032
Tkl/901.77
KP/900.25
Ball-Playing CBAerial
Last 5: ↑ Hot
vs Laporte: €16M more expensive · 5y younger
84% match
€25.0M
#4
R
Rúben Dias 
Manchester City · Premier League
Portugal28yContract 2027
Tkl/900.61
KP/900.26
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
84% match
€60.0M
#5
R
Robin Le Normand
Atlético Madrid · La Liga
Spain29yContract 2029
Tkl/901.35
KP/900.14
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
84% match
€30.0M
#6
D
David Carmo
Real Oviedo · La Liga
Portugal26y
Tkl/901.70
KP/900.31
Ball-Playing CBAerial
Last 5: ↑ Hot
84% match
€11.0M
#7
J
José María Giménez
Atlético Madrid · La Liga
Uruguay31yContract 2028
Tkl/901.57
KP/900.00
Ball-Playing CBBall-Playing
Last 5: → Stable
84% match
€14.0M
#8
F
Ferland Mendy 
Real Madrid · La Liga
France30yContract 2028
Tkl/900.40
KP/900.80
Active Full-Back
Last 5: ↑ Hot
84% match
€6.0M
#9
A
Arnau Martínez
Girona · La Liga
Spain23yContract 2027
Tkl/902.47
KP/900.62
Active Full-BackAerial
Last 5: → Stable
83% match
€10.0M
#10
V
Vitor Reis
Girona · La Liga
Brazil20yContract 2026
Tkl/901.34
KP/900.29
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
83% match
€30.0M
#11
C
Clément Lenglet 
Atlético Madrid · La Liga
France30yContract 2028
Tkl/901.13
KP/900.19
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
83% match
€6.0M
#12
L
Lisandro Martínez
Manchester United · Premier League
Argentina28yContract 2027
Tkl/901.37
KP/900.34
Ball-Playing CBBall-Playing
84% match
€35.0M

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 Aymeric Laporte.

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Frequently Asked Questions

Who are the best alternatives to Aymeric Laporte?
The top alternatives to Aymeric Laporte based on AI DNA playing style analysis include: Eric Bailly, Manuel Akanji, Dani Vivian, Rúben Dias , Robin Le Normand. 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 Aymeric Laporte in 2026?
Players with a similar profile to Aymeric Laporte in 2026 include Eric Bailly (€38.0M), Manuel Akanji (€22.0M), Dani Vivian (€25.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Aymeric Laporte play and who plays similarly?
Aymeric Laporte plays as a Defender. Players with a comparable positional profile include Eric Bailly (Ivory Coast, €38.0M); Manuel Akanji (Switzerland, €22.0M); Dani Vivian (Spain, €25.0M); Rúben Dias  (Portugal, €60.0M).
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.