RisingTransfers
AI DNA Similarity

Best Alternatives to Mateusz Klich

Players most similar to Mateusz Klich (Midfielder, €1.7M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Mateusz Klich

  1. 1.James Ward-Prowse86% DNA match·Burnley€6.0M
  2. 2.Stephen Eustaquio85% DNA match·Los Angeles FC€7.0M
  3. 3.Manu Molina85% DNA match·Eldense

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

RT

Intelligence Verdict

Key PassesTop 13%
???Bottom 0%

Mateusz Klich is a Metronome....

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Playing Style Analysis

MetronomeSmall Sample

Mateusz Klich is a Metronome. Possession anchor who dictates tempo. Statistically, he stands out as a capable chance creator (1.2 key passes/90), active in the tackle (1.8 tackles/90), meticulous in distribution (87% pass accuracy), heavily involved in possession (62 passes/90), penetrates with forward passing (10.7 final-third passes/90) and central to possession (73 touches/90). The three most similar players to Mateusz Klich by playing style are:

  • James Ward-Prowse(86% match)A Metronome. Statistically, he stands out as an elite creator (1.7 key passes/90), active in the tackle (1.8 tackles/90), meticulous in distribution (93% pass accuracy), heavily involved in possession (62 passes/90), penetrates with forward passing (8.6 final-third passes/90), central to possession (75 touches/90) and active off the ball (2.3 press score/90), contributing to defensive transitions.
  • Stephen Eustaquio(85% match)A Metronome. Statistically, he stands out as active in the tackle (2.5 tackles/90), meticulous in distribution (89% pass accuracy), heavily involved in possession (65 passes/90), creates high-quality scoring opportunities (0.57 big chances/90) and central to possession (78 touches/90).
  • Manu Molina(85% match)A Metronome. Statistically, he stands out as a capable chance creator (1.2 key passes/90), wins the physical battle (60% duel success), heavily involved in possession (64 passes/90), central to possession (79 touches/90) and switches play with precision (9.3 long balls/90, 70% accuracy).

Transfer Intelligence

James Ward-Prowse delivers 86% of the same playing style, at a 253% premium over Mateusz Klich, with 1.51 key passes per 90 at age 31.

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

M
Comparison Base
Mateusz Klich
MidfielderPoland€1.7M
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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 Mateusz Klich.

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Frequently Asked Questions

Who are the best alternatives to Mateusz Klich?
The top alternatives to Mateusz Klich based on AI DNA playing style analysis include: James Ward-Prowse, Stephen Eustaquio, Manu Molina, Nicolai Poulsen, Pedro Santos. 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 Mateusz Klich in 2026?
Players with a similar profile to Mateusz Klich in 2026 include James Ward-Prowse (€6.0M), Stephen Eustaquio (€7.0M), Manu Molina (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Mateusz Klich play and who plays similarly?
Mateusz Klich plays as a Midfielder. Players with a comparable positional profile include James Ward-Prowse (England, €6.0M); Stephen Eustaquio (Canada, €7.0M); Manu Molina (Spain, N/A); Nicolai Poulsen (Denmark, 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.