RisingTransfers
AI DNA Similarity

Best Alternatives to Mark Diemers

Players most similar to Mark Diemers (Midfielder, €1.3M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Mark Diemers

  1. 1.Jeff Hardeveld86% DNA match·Telstar
  2. 2.Daniël van Kaam86% DNA match·Heracles Almelo
  3. 3.Mats Seuntjens85% DNA match·FC Groningen

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

RT

Intelligence Verdict

ShotsTop 10%
???Bottom 5%

Mark Diemers is a Creator....

See Full Verdict + Share Card →

Playing Style Analysis

CreatorCreative

Mark Diemers is a Creator. Playmaker unlocking defenses with key passes. Statistically, he stands out as an elite creator (2.7 key passes/90), a regular goalscorer (0.21 goals/90), a reliable supplier (0.21 assists/90), active in the tackle (1.8 tackles/90), wins the physical battle (59% duel success) and top 10% creator in the league. The three most similar players to Mark Diemers by playing style are:

  • Jeff Hardeveld(86% match)Jeff Hardeveld is a Box-to-Box. Engine covering ground in attack and defense. Statistically, he stands out as an elite creator (1.8 key passes/90), a reliable supplier (0.21 assists/90), an aggressive ball-winner (2.6 tackles/90), creates high-quality scoring opportunities (0.66 big chances/90), heavily involved in play (64 touches/90), uses long balls frequently (6.4/90) and top 20% creator in the league.
  • Daniël van Kaam(86% match)A Ball-Winner. Statistically, he stands out as an elite creator (1.8 key passes/90), a prolific assist provider (0.27 assists/90), active in the tackle (2.1 tackles/90), meticulous in distribution (86% pass accuracy), wins the physical battle (68% duel success), creates high-quality scoring opportunities (1.36 big chances/90) and heavily involved in play (55 touches/90).
  • Mats Seuntjens(85% 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.

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

M
Comparison Base
Mark Diemers
MidfielderNetherlands€1.3M
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 Mark Diemers.

Ask AI about Mark Diemers

Frequently Asked Questions

Who are the best alternatives to Mark Diemers?
The top alternatives to Mark Diemers based on AI DNA playing style analysis include: Jeff Hardeveld, Daniël van Kaam, Mats Seuntjens, Mathijs Tielemans, Daan Huisman. 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 Mark Diemers in 2026?
Players with a similar profile to Mark Diemers in 2026 include Jeff Hardeveld (N/A), Daniël van Kaam (N/A), Mats Seuntjens (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Mark Diemers play and who plays similarly?
Mark Diemers plays as a Midfielder. Players with a comparable positional profile include Jeff Hardeveld (Netherlands, N/A); Daniël van Kaam (Netherlands, N/A); Mats Seuntjens (Netherlands, N/A); Mathijs Tielemans (Netherlands, 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.