RisingTransfers
AI DNA Similarity

Best Alternatives to Darko Nejasmic

Players most similar to Darko Nejasmic (Midfielder, €1.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Darko Nejasmic

  1. 1.Kees Smit83% DNA match·AZ€22.0M
  2. 2.Kian Fitz-Jim84% DNA match·Ajax€3.5M
  3. 3.Jens Toornstra84% DNA match·Sparta Rotterdam€3.5M

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

RT

Intelligence Verdict

Aerials WonTop 3%
???Bottom 11%

A Box-to-Box....

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Playing Style Analysis

Box-to-Box

A Box-to-Box. Statistically, he stands out as active in the tackle (2.5 tackles/90), wins the physical battle (56% duel success), penetrates with forward passing (9.4 final-third passes/90), central to possession (71 touches/90), switches play with precision (6.1 long balls/90, 61% accuracy) and a high-intensity presser (press score 3.4/90), constantly disrupting opposition build-up. The three most similar players to Darko Nejasmic by playing style are:

  • Kees Smit(83% match)A Box-to-Box. Statistically, he stands out as an elite creator (1.6 key passes/90), meticulous in distribution (88% pass accuracy), heavily involved in play (67 touches/90) and active off the ball (2.5 press score/90), contributing to defensive transitions. However, he loses possession under pressure (1.6 dispossessed/90).
  • Kian Fitz-Jim(84% match)A Metronome. Statistically, he stands out as an aggressive ball-winner (3.5 tackles/90), reads the game exceptionally (2.8 interceptions/90), meticulous in distribution (88% pass accuracy), penetrates with forward passing (8.4 final-third passes/90), wins the ball cleanly (1.9 successful tackles/90), central to possession (80 touches/90), a high-intensity presser (press score 3.8/90), constantly disrupting opposition build-up and top 10% tackler in the league. Note: this profile is based on 515 minutes of playing time this season.
  • Jens Toornstra(84% match)A Creator. Statistically, he stands out as a capable chance creator (1.3 key passes/90), active in the tackle (2.4 tackles/90), heavily involved in play (54 touches/90), uses long balls frequently (6.0/90) and active off the ball (2.6 press score/90), contributing to defensive transitions. Note: this profile is based on 782 minutes of playing time this season.

Transfer Intelligence

Kees Smit delivers 83% of the same playing style, at a 2100% premium over Darko Nejasmic, with 1.56 key passes per 90 at age 20.

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

D
Comparison Base
Darko Nejasmic
MidfielderCroatia€1.0M
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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 Darko Nejasmic.

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Frequently Asked Questions

Who are the best alternatives to Darko Nejasmic?
The top alternatives to Darko Nejasmic based on AI DNA playing style analysis include: Kees Smit, Kian Fitz-Jim, Jens Toornstra, Filip Lesniak, Nicolai Poulsen. 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 Darko Nejasmic in 2026?
Players with a similar profile to Darko Nejasmic in 2026 include Kees Smit (€22.0M), Kian Fitz-Jim (€3.5M), Jens Toornstra (€3.5M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Darko Nejasmic play and who plays similarly?
Darko Nejasmic plays as a Midfielder. Players with a comparable positional profile include Kees Smit (Netherlands, €22.0M); Kian Fitz-Jim (Netherlands, €3.5M); Jens Toornstra (Netherlands, €3.5M); Filip Lesniak (Slovakia, N/A).
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.