RisingTransfers
AI DNA Similarity

Best Alternatives to Karim Dermane

Players most similar to Karim Dermane (Midfielder, €3.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Karim Dermane

  1. 1.Benjamin André86% DNA match·LOSC Lille€4.0M
  2. 2.Djaoui Cissé85% DNA match·Rennes€15.0M
  3. 3.Khalis Merah85% DNA match·Olympique Lyonnais€8.0M

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

RT

Intelligence Verdict

DribblesTop 9%

A Creator....

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Playing Style Analysis

Creator

A Creator. Statistically, he stands out as a reliable supplier (0.15 assists/90), heavily involved in play (52 touches/90), draws fouls effectively (2.6/90) and active off the ball (2.9 press score/90), contributing to defensive transitions. However, he loses possession under pressure (1.7 dispossessed/90). The three most similar players to Karim Dermane by playing style are:

  • Benjamin André(86% match)A Ball-Winner. Statistically, he stands out as a capable chance creator (1.0 key passes/90), an aggressive ball-winner (2.6 tackles/90), reads the game exceptionally (1.5 interceptions/90), wins the physical battle (59% duel success), heavily involved in play (68 touches/90), draws fouls effectively (2.1/90) and a high-intensity presser (press score 3.1/90), constantly disrupting opposition build-up. However, he loses possession under pressure (1.6 dispossessed/90).
  • Djaoui Cissé(85% match)A Ball-Winner. Statistically, he stands out as a capable chance creator (1.0 key passes/90), an aggressive ball-winner (2.9 tackles/90), heavily involved in play (66 touches/90) and active off the ball (2.7 press score/90), contributing to defensive transitions.
  • Khalis Merah(85% match)A Box-to-Box. Statistically, he stands out as an aggressive ball-winner (2.6 tackles/90), wins the physical battle (59% duel success), wins the ball cleanly (2.2 successful tackles/90), heavily involved in play (54 touches/90), draws fouls effectively (2.2/90) and active off the ball (2.1 press score/90), contributing to defensive transitions. However, he loses possession under pressure (1.9 dispossessed/90).

Transfer Intelligence

Benjamin André delivers 86% of the same playing style, at a 33% premium over Karim Dermane, with 1.00 key passes per 90 at age 35.

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

K
Comparison Base
Karim Dermane
MidfielderTogo€3.0M
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Similar Players — Ranked by DNA Similarity

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 Karim Dermane.

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Frequently Asked Questions

Who are the best alternatives to Karim Dermane?
The top alternatives to Karim Dermane based on AI DNA playing style analysis include: Benjamin André, Djaoui Cissé, Khalis Merah, Arthur Vermeeren, Bilal Nadir. 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 Karim Dermane in 2026?
Players with a similar profile to Karim Dermane in 2026 include Benjamin André (€4.0M), Djaoui Cissé (€15.0M), Khalis Merah (€8.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Karim Dermane play and who plays similarly?
Karim Dermane plays as a Midfielder. Players with a comparable positional profile include Benjamin André (France, €4.0M); Djaoui Cissé (France, €15.0M); Khalis Merah (France, €8.0M); Arthur Vermeeren (Belgium, €20.0M).
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.