RisingTransfers
AI DNA Similarity

Best Alternatives to Laco Takacs

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

Top 3 Alternatives to Laco Takacs

  1. 1.Robin Fellhauer85% DNA match·FC Augsburg€3.0M
  2. 2.Jan Schöppner84% DNA match·Heidenheim€4.0M
  3. 3.Niklas Dorsch83% DNA match·Heidenheim€3.0M

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

RT

Intelligence Verdict

Aerials WonTop 1%
???Bottom 0%

Takacs is a high-volume disruptor trapped in the body of a ball-player...

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Playing Style Analysis

Balanced MidfielderSmall Sample

Takacs is a high-volume disruptor trapped in the body of a ball-player, operating as a bruising defensive presence for a Tier C outfit in the Chance Liga. While his 31.8 passes per 90 suggest a player who wants to dictate tempo, his 68.3% accuracy—languishing well below the league average—reveals a lack of technical refinement under pressure. However, the raw data hides a defensive titan; his 60.0% duel win rate places him in the elite top 10% of the league, proving he is a nightmare to bypass in central zones. The three most similar players to Laco Takacs by playing style are:

  • Robin Fellhauer(85% match)A Box-to-Box. Statistically, he stands out as active in the tackle (1.9 tackles/90), heavily involved in play (58 touches/90) and active off the ball (2.5 press score/90), contributing to defensive transitions. Note: this profile is based on 761 minutes of playing time this season.
  • Jan Schöppner(84% match)A Balanced Midfielder. Note: this profile is based on 822 minutes of playing time this season.
  • Niklas Dorsch(83% match)A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (2.9 tackles/90), meticulous in distribution (87% pass accuracy), wins the physical battle (60% duel success), heavily involved in play (50 touches/90), active off the ball (2.9 press score/90), contributing to defensive transitions and top 10% tackler in the league.

Transfer Intelligence

Robin Fellhauer delivers 85% of the same playing style, at a 200% premium over Laco Takacs, with 0.68 key passes per 90 at age 28.

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

L
Comparison Base
Laco Takacs
MidfielderCzech Republic€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 Laco Takacs.

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Frequently Asked Questions

Who are the best alternatives to Laco Takacs?
The top alternatives to Laco Takacs based on AI DNA playing style analysis include: Robin Fellhauer, Jan Schöppner, Niklas Dorsch, Jens Castrop, Tom Krauß. 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 Laco Takacs in 2026?
Players with a similar profile to Laco Takacs in 2026 include Robin Fellhauer (€3.0M), Jan Schöppner (€4.0M), 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 Laco Takacs play and who plays similarly?
Laco Takacs plays as a Midfielder. Players with a comparable positional profile include Robin Fellhauer (Germany, €3.0M); Jan Schöppner (Germany, €4.0M); Niklas Dorsch (Germany, €3.0M); Jens Castrop (Germany, €6.0M).
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.