RisingTransfers
⬡ AI DNA · Live season
Hellas Verona

Best Alternatives to Jean-Daniel Akpa Akpro

Central MidfieldIvory Coast33y€500KFull profile →
Balanced MidfielderDefensive
0.66KP/90
0.06G/90
0.00A/90

Based on 1,511 min · 2025/2026 · Serie A · PARTIAL

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

DNA matchPrioritizes Serie A & top-tier peers

Top 3 alternatives to Jean-Daniel Akpa Akpro

  1. Nicolò Barella80% match

    Inter · Serie A · €60.0M

  2. Manu Koné80% match

    Roma · Serie A · €50.0M

  3. Éderson80% match

    Atalanta · Serie A · €40.0M

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

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Playing Style Analysis

Balanced MidfielderDefensive

A Balanced Midfielder. Statistically, he stands out as an aggressive ball-winner (2.7 tackles/90), wins the ball cleanly (1.9 successful tackles/90), active off the ball (2.9 press score/90), contributing to defensive transitions and top 10% tackler in the league. The three closest DNA matches to Jean-Daniel Akpa Akpro:

  • Nicolò Barella(80% match) Barella is the engine that makes Inter's midfield breathe—a box-to-box dynamo whose footballing intelligence operates at a frequency most teammates can only follow, not match. His key pass rate sits in Serie A's top 5%, and his assist numbers land in the top 10%, meaning the creativity isn't accidental—it's systematic.
  • Manu Koné(80% match) A Box-to-Box. Statistically, he stands out as active in the tackle (1.8 tackles/90), meticulous in distribution (90% pass accuracy), heavily involved in play (65 touches/90) and active off the ball (2.4 press score/90), contributing to defensive transitions.
  • Éderson(80% match) Éderson has quietly become one of Serie A's most complete midfield engines — a player who does the unglamorous work at an elite level while never demanding the spotlight. His 90.3% pass accuracy places him in the top 10% of league midfielders, but the more telling figure is his press intensity, also top 20% — meaning he wins the ball back as efficiently as he distributes it.

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

Comparison Base
Jean-Daniel Akpa Akpro
MidfielderIvory CoastSerie A€500K

Similar Players — Ranked by DNA Similarity

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Top 8 shown first · 16 total ranked by DNA + league fit.

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Download RT stat cards for Jean-Daniel Akpa Akpro vs Nicolò Barella, Manu Koné, and Éderson. Post to X or WhatsApp — DNA + season totals from RT.

Jean-Daniel Akpa Akpro RT player card

Source · Jean-Daniel Akpa Akpro

Nicolò Barella RT player card

Alt · Nicolò Barella

Manu Koné RT player card

Alt · Manu Koné

Éderson RT player card

Alt · Éderson

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Frequently Asked Questions

Who are the best alternatives to Jean-Daniel Akpa Akpro?
The top alternatives to Jean-Daniel Akpa Akpro based on AI DNA playing style analysis include: Nicolò Barella, Manu Koné, Éderson, Khéphren Thuram, Petar Sučić. 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 Jean-Daniel Akpa Akpro in 2026?
Players with a similar profile to Jean-Daniel Akpa Akpro in 2026 include Nicolò Barella (€60.0M), Manu Koné (€50.0M), Éderson (€40.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Jean-Daniel Akpa Akpro play and who plays similarly?
Jean-Daniel Akpa Akpro plays as a Midfielder. Players with a comparable positional profile include Nicolò Barella (Italy, €60.0M); Manu Koné (France, €50.0M); Éderson (Brazil, €40.0M); Khéphren Thuram (France, €40.0M).
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.