⬡ AI DNA · Live season

Nürnberg· 2025/2026 · Europa Conference League · PARTIAL

Best Alternatives to Adam Markhiev

MidfielderFinland24y€2.5MFull profile →

Ball-WinnerDefensive

0.00KP/90

0.04G/90

0.04A/90

Based on 2,090 min · 2025/2026 · Europa Conference League · PARTIAL

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

Note: Top DNA style matches can come from lower leagues. We also surface Europa Conference League peers ranked by market value and league tier — scroll the full list below.

DNA matchDNA style match · see league & value below

Top 3 alternatives to Adam Markhiev

Robin Fellhauer85% match
FC Augsburg · Bundesliga · €3.0M
David Santos Daiber85% match
FC Bayern München · Bundesliga · €3.0M

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Playing Style Analysis

Ball-WinnerDefensive

A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (2.6 tackles/90), meticulous in distribution (89% pass accuracy), wins the physical battle (58% duel success), central to possession (71 touches/90), draws fouls effectively (2.5/90), a high-intensity presser (press score 3.5/90), constantly disrupting opposition build-up and top 10% tackler in the league. The three closest DNA matches to Adam Markhiev:

Robin Fellhauer(85% match) — A Balanced Midfielder. Statistically, he stands out as active in the tackle (1.9 tackles/90), heavily involved in play (51 touches/90) and active off the ball (2.1 press score/90), contributing to defensive transitions.
David Santos Daiber(85% match) — A Ball-Winner. Statistically, he stands out as an elite creator (1.7 key passes/90), an aggressive ball-winner (3.3 tackles/90), meticulous in distribution (86% pass accuracy), wins the physical battle (62% duel success), heavily involved in play (62 touches/90), draws fouls effectively (2.2/90), top 10% creator in the league and top 10% tackler in the league.
Niklas Dorsch(85% match) — A Box-to-Box. Statistically, he stands out as active in the tackle (2.4 tackles/90), meticulous in distribution (89% pass accuracy), wins the physical battle (61% duel success), heavily involved in play (53 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

Robin Fellhauer

FC Augsburg · Bundesliga

Germany28yContract 2029

KP/900.99

G/900.10

Balanced MidfielderSteady form

vs Markhiev: 4y older

85% match

€3.0M

Compare Markhiev vs Fellhauer →

Ask about replacements for Markhiev

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 Adam Markhiev?▼

The top alternatives to Adam Markhiev based on AI DNA playing style analysis include: Robin Fellhauer, David Santos Daiber, Niklas Dorsch, Denis Huseinbasic, Jan Schöppner. 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 Adam Markhiev in 2026?▼

Players with a similar profile to Adam Markhiev in 2026 include Robin Fellhauer (€3.0M), David Santos Daiber (€3.0M), Niklas Dorsch (€3.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.

What position does Adam Markhiev play and who plays similarly?▼

Adam Markhiev plays as a Midfielder. Players with a comparable positional profile include Robin Fellhauer (Germany, €3.0M); David Santos Daiber (Portugal, €3.0M); Niklas Dorsch (Germany, €3.0M); Denis Huseinbasic (Germany, €3.0M).

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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