RisingTransfers
AI DNA Similarity

Best Alternatives to Mitchel Bakker

Players most similar to Mitchel Bakker (Midfielder, €4.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Mitchel Bakker

  1. 1.Jari Vandeputte85% DNA match·Cremonese€3.3M
  2. 2.Albert Grønbæk85% DNA match·Hamburger SV€8.0M
  3. 3.Matteo Tramoni85% DNA match·Pisa€3.0M

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

RT

Intelligence Verdict

Key PassesTop 13%
???Bottom 0%

Bakker is a high-variance creative specialist masquerading as a functional cog in a Tier C Serie A...

See Full Verdict + Share Card →

Playing Style Analysis

CreatorCreativeSmall Sample

Bakker is a high-variance creative specialist masquerading as a functional cog in a Tier C Serie A machine. While his 284 minutes suggest a peripheral figure, his output is undeniably elite in possession; ranking in the top 10% for key passes and the top 20% for dribbles, he operates as a progressive engine that many top-half sides lack. However, the data reveals a jarring physical passivity. The three most similar players to Mitchel Bakker by playing style are:

  • Jari Vandeputte(85% 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.
  • Albert Grønbæk(85% match)A Creator. Statistically, he stands out as an elite creator (2.1 key passes/90), a regular goalscorer (0.22 goals/90), active in the tackle (2.4 tackles/90), creates high-quality scoring opportunities (0.78 big chances/90) and top 10% creator in the league. However, he can be exposed in 1v1 situations and loses possession under pressure (1.6 dispossessed/90).
  • Matteo Tramoni(85% match)A Creator. Statistically, he stands out as an elite creator (2.6 key passes/90), a regular goalscorer (0.23 goals/90), creates high-quality scoring opportunities (0.58 big chances/90) and top 10% creator in the league. Note: this profile is based on 774 minutes of playing time this season.

Transfer Intelligence

Jari Vandeputte delivers 85% of the same playing style, at 18% lower cost (€3.3M vs €4.0M), with 3.00 key passes per 90 at age 30.

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

M
Comparison Base
Mitchel Bakker
MidfielderNetherlands€4.0M
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 Mitchel Bakker.

Ask AI about Mitchel Bakker

Frequently Asked Questions

Who are the best alternatives to Mitchel Bakker?
The top alternatives to Mitchel Bakker based on AI DNA playing style analysis include: Jari Vandeputte, Albert Grønbæk, Matteo Tramoni, Cristian Volpato, Tomas Suslov. 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 Mitchel Bakker in 2026?
Players with a similar profile to Mitchel Bakker in 2026 include Jari Vandeputte (€3.3M), Albert Grønbæk (€8.0M), Matteo Tramoni (€3.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Mitchel Bakker play and who plays similarly?
Mitchel Bakker plays as a Midfielder. Players with a comparable positional profile include Jari Vandeputte (Belgium, €3.3M); Albert Grønbæk (Denmark, €8.0M); Matteo Tramoni (France, €3.0M); Cristian Volpato (Italy, €10.0M).
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.