⬡ AI DNA · Live season

Brest· 2024/2025 · Ligue 1 · FULL

Best Alternatives to Luck Zogbé

DefenderIvory Coast21y€2.0MFull profile →

Physical StopperSmall Sample

1.58Tkl/90

0.32KP/90

Based on 635 min · 2024/2025 · Ligue 1 · FULL

Ranked by AI DNA similarity — playing style, pressing, and tactical fit. Below: the closest replacements with per-90 stats and form.

DNA matchPrioritizes Ligue 1 & top-tier peers

Top 3 alternatives to Luck Zogbé

Achraf Hakimi80% match
Paris Saint Germain · Ligue 1 · €80.0M
Nuno Mendes80% match
Paris Saint Germain · Ligue 1 · €75.0M
Willian Pacho80% match
Paris Saint Germain · Ligue 1 · €70.0M

Ranked by RT Player DNA + league/value credibility. Scroll for full list, per-90 stats, and share cards.

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Intelligence Verdict

Aerials WonTop 1%

“A Physical Stopper....”

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Playing Style Analysis

Physical StopperSmall Sample

A Physical Stopper. Statistically, he stands out as an aggressive ball-winner (4.7 tackles/90), reads the game exceptionally (2.0 interceptions/90), wins the physical battle (62% duel success), active off the ball (2.5 press score/90), contributing to defensive transitions and top 10% tackler in the league. Note: this profile is based on 635 minutes of playing time this season. The three closest DNA matches to Luck Zogbé:

Achraf Hakimi(80% match) — A Active Full-Back. Statistically, he stands out as a capable chance creator (1.4 key passes/90), meticulous in distribution (91% pass accuracy), heavily involved in possession (83 passes/90), central to possession (105 touches/90) and active off the ball (2.4 press score/90), contributing to defensive transitions.
Nuno Mendes(80% match) — A Active Full-Back. Statistically, he stands out as naturally left-footed, an elite creator (2.2 key passes/90), a regular goalscorer (0.29 goals/90), a prolific assist provider (0.36 assists/90), active in the tackle (1.8 tackles/90), meticulous in distribution (89% pass accuracy), wins the physical battle (57% duel success), heavily involved in possession (69 passes/90), creates high-quality scoring opportunities (0.65 big chances/90), penetrates with forward passing (10.4 final-third passes/90), central to possession (97 touches/90), switches play with precision (5.7 long balls/90, 66% accuracy) and a high-intensity presser (press score 3.1/90), constantly disrupting opposition build-up.
Willian Pacho(80% match) — A Ball-Playing CB. Statistically, he stands out as naturally left-footed, active in the tackle (1.9 tackles/90), meticulous in distribution (95% pass accuracy), wins the physical battle (63% duel success), heavily involved in possession (80 passes/90), central to possession (90 touches/90) and active off the ball (2.8 press score/90), contributing to defensive transitions.

Similarity uses per-90 performance across playing-style dimensions. How Player DNA matching works →

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Similar Players — Ranked by DNA Similarity

Achraf Hakimi

Paris Saint Germain · Ligue 1

Morocco27yContract 2029

Tkl/901.24

KP/901.38

Active Full-BackBall-PlayingSteady form

vs Zogbé: €78M more expensive · 6y older

80% match

€80.0M

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Same DNA shortlist as above — budget fit, who to avoid, or why the top match works.

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Frequently Asked Questions

Who are the best alternatives to Luck Zogbé?▼

The top alternatives to Luck Zogbé based on AI DNA playing style analysis include: Achraf Hakimi, Nuno Mendes, Willian Pacho, Ilya Zabarnyi, Marquinhos. 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 Luck Zogbé in 2026?▼

Players with a similar profile to Luck Zogbé in 2026 include Achraf Hakimi (€80.0M), Nuno Mendes (€75.0M), Willian Pacho (€70.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.

What position does Luck Zogbé play and who plays similarly?▼

Luck Zogbé plays as a Defender. Players with a comparable positional profile include Achraf Hakimi (Morocco, €80.0M); Nuno Mendes (Portugal, €75.0M); Willian Pacho (Ecuador, €70.0M); Ilya Zabarnyi (Ukraine, €50.0M).

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.

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