RisingTransfers
AI DNA Similarity

Best Alternatives to Mathijs Tielemans

Players most similar to Mathijs Tielemans (Midfielder, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Mathijs Tielemans

  1. 1.James Maddison  88% DNA match·Tottenham Hotspur€30.0M
  2. 2.Mats Seuntjens86% DNA match·FC Groningen
  3. 3.Raphael Obermair85% DNA match·Paderborn

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

RT

Intelligence Verdict

Key PassesTop 16%
???Bottom 17%

Mathijs Tielemans is a Creator....

See Full Verdict + Share Card →

Playing Style Analysis

CreatorCreative

Mathijs Tielemans is a Creator. Playmaker unlocking defenses with key passes. Statistically, he stands out as an elite creator (2.0 key passes/90), meticulous in distribution (89% pass accuracy) and top 10% creator in the league. The three most similar players to Mathijs Tielemans by playing style are:

  • James Maddison  (88% match)James Maddison is a Creator. Playmaker unlocking defenses with key passes. Statistically, he stands out as an elite creator (2.1 key passes/90), a proven goalscorer (0.45 goals/90), a prolific assist provider (0.35 assists/90), meticulous in distribution (87% pass accuracy), penetrates with forward passing (8.6 final-third passes/90), central to possession (78 touches/90), draws fouls effectively (3.2/90) and top 10% creator in the league.
  • Mats Seuntjens(86% match)A Creator. Statistically, he stands out as an elite creator (2.6 key passes/90), a regular goalscorer (0.27 goals/90), a prolific assist provider (0.27 assists/90), active in the tackle (1.9 tackles/90), creates high-quality scoring opportunities (1.21 big chances/90), active off the ball (2.0 press score/90), contributing to defensive transitions and top 10% creator in the league. Note: this profile is based on 669 minutes of playing time this season.
  • Raphael Obermair(85% match)A Creator. Statistically, he stands out as an elite creator (2.0 key passes/90), a prolific assist provider (0.29 assists/90), creates high-quality scoring opportunities (0.59 big chances/90), heavily involved in play (67 touches/90), active off the ball (2.2 press score/90), contributing to defensive transitions and top 10% creator in the league.

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

M
Comparison Base
Mathijs Tielemans
MidfielderNetherlandsN/A
Full profile →

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 Mathijs Tielemans.

Ask AI about Mathijs Tielemans

Frequently Asked Questions

Who are the best alternatives to Mathijs Tielemans?
The top alternatives to Mathijs Tielemans based on AI DNA playing style analysis include: James Maddison  , Mats Seuntjens, Raphael Obermair, Dani Lorenzo, Luca Marseiler. 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 Mathijs Tielemans in 2026?
Players with a similar profile to Mathijs Tielemans in 2026 include James Maddison   (€30.0M), Mats Seuntjens (N/A), Raphael Obermair (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Mathijs Tielemans play and who plays similarly?
Mathijs Tielemans plays as a Midfielder. Players with a comparable positional profile include James Maddison   (England, €30.0M); Mats Seuntjens (Netherlands, N/A); Raphael Obermair (Germany, N/A); Dani Lorenzo (Spain, 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.