RisingTransfers
AI DNA Similarity

Best Alternatives to Dennis Praet

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

Top 3 Alternatives to Dennis Praet

  1. 1.Matteo Prati86% DNA match·Torino€6.0M
  2. 2.Mike Tresor85% DNA match·Burnley€3.0M
  3. 3.Jari Vandeputte84% DNA match·Cremonese€3.3M

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 0%

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 (2.3 tackles/90), reads the game exceptionally (2.1 interceptions/90), wins the physical battle (62% duel success), penetrates with forward passing (8.0 final-third passes/90), heavily involved in play (61 touches/90), uses long balls frequently (5.8/90) and a high-intensity presser (press score 3.3/90), constantly disrupting opposition build-up. The three most similar players to Dennis Praet by playing style are:

  • Matteo Prati(86% match)A Ball-Winner. Statistically, he stands out as active in the tackle (2.4 tackles/90), wins the physical battle (64% duel success), heavily involved in play (52 touches/90) and uses long balls frequently (5.9/90). Note: this profile is based on 684 minutes of playing time this season.
  • Mike Tresor(85% match)A Creator. Statistically, he stands out as an elite creator (3.0 key passes/90), a regular goalscorer (0.22 goals/90), a prolific assist provider (0.65 assists/90), creates high-quality scoring opportunities (0.60 big chances/90) and top 10% creator in the league.
  • Jari Vandeputte(84% match)A Creator. Statistically, he stands out as an elite creator (3.0 key passes/90), a prolific assist provider (0.29 assists/90), creates high-quality scoring opportunities (0.68 big chances/90), penetrates with forward passing (9.7 final-third passes/90), heavily involved in play (70 touches/90), uses long balls frequently (6.1/90), active off the ball (2.5 press score/90), contributing to defensive transitions and top 10% creator in the league.

Transfer Intelligence

Matteo Prati delivers 86% of the same playing style, at a 500% premium over Dennis Praet, with 0.53 key passes per 90 at age 22.

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

D
Comparison Base
Dennis Praet
MidfielderBelgium€1.0M
Full profile →

Similar Players — Ranked by DNA Similarity

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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 Dennis Praet.

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Frequently Asked Questions

Who are the best alternatives to Dennis Praet?
The top alternatives to Dennis Praet based on AI DNA playing style analysis include: Matteo Prati, Mike Tresor, Jari Vandeputte, Youri Tielemans, Kevin Stöger. 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 Dennis Praet in 2026?
Players with a similar profile to Dennis Praet in 2026 include Matteo Prati (€6.0M), Mike Tresor (€3.0M), Jari Vandeputte (€3.3M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Dennis Praet play and who plays similarly?
Dennis Praet plays as a Midfielder. Players with a comparable positional profile include Matteo Prati (Italy, €6.0M); Mike Tresor (Belgium, €3.0M); Jari Vandeputte (Belgium, €3.3M); Youri Tielemans (Belgium, €35.0M).
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.