RisingTransfers
AI DNA Similarity

Best Alternatives to Mateusz Wieteska

Players most similar to Mateusz Wieteska (Defender, €5.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Mateusz Wieteska

  1. 1.Stefano Denswil87% DNA match·Kayserispor€6.0M
  2. 2.Tiago Djaló84% DNA match·Beşiktaş€7.0M
  3. 3.Emirhan Topçu85% DNA match·Beşiktaş€6.0M

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

RT

Intelligence Verdict

Aerials WonTop 19%
???Bottom 16%

A Ball-Playing CB....

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Playing Style Analysis

Ball-Playing CBBall-PlayingAerial

A Ball-Playing CB. Statistically, he stands out as commanding in the air (6.4 clearances/90), meticulous in distribution (86% pass accuracy), wins the physical battle (64% duel success), central to possession (74 touches/90), dominant in the air (4.0 aerials won/90, 65%) and uses long balls frequently (6.8/90). The three most similar players to Mateusz Wieteska by playing style are:

  • Stefano Denswil(87% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (4.6 clearances/90), meticulous in distribution (88% pass accuracy), wins the physical battle (60% duel success) and uses long balls frequently (5.7/90).
  • Tiago Djaló(84% match)Djaló has carved out a quietly compelling identity in the Super Lig: a centre-back who wins headers, reads danger, and occasionally finds the net—without ever pretending to be a ball-playing quarterback. His aerial numbers place him in the top 20% of defenders in the league, and his interception rate tells a similar story about positional intelligence rather than reactive scrambling. Here's the counterintuitive part: his low dribble and key pass figures look like limitations, but they actually reflect discipline—he doesn't force situations that aren't his to own.
  • Emirhan Topçu(85% match)A Ball-Playing CB. Statistically, he stands out as naturally left-footed, an aggressive ball-winner (2.5 tackles/90), commanding in the air (5.8 clearances/90), reads the game exceptionally (1.6 interceptions/90), wins the physical battle (61% duel success), heavily involved in possession (61 passes/90), penetrates with forward passing (8.9 final-third passes/90), central to possession (80 touches/90), uses long balls frequently (7.7/90), active off the ball (2.5 press score/90), contributing to defensive transitions and top 10% tackler in the league.

Transfer Intelligence

Stefano Denswil delivers 87% of the same playing style, at a 20% premium over Mateusz Wieteska, with 0.96 tackles won per 90 at age 33.

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

M
Comparison Base
Mateusz Wieteska
DefenderPoland€5.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
S
Stefano Denswil
Kayserispor · Super Lig
Suriname33y
Tkl/900.96
KP/900.23
Ball-Playing CBAerial
Last 5: ↓ Dip
vs Wieteska: 4y older
87% match
€6.0M
#2
T
Tiago Djaló
Beşiktaş · Super Lig
Portugal26yContract 2028
Tkl/901.48
KP/900.25
Ball-Playing CBAerial
Last 5: ↑ Hot
vs Wieteska: 3y younger
84% match
€7.0M
#3
E
Emirhan Topçu
Beşiktaş · Super Lig
Turkey25yContract 2028
Tkl/902.51
KP/900.55
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
vs Wieteska: 4y younger
85% match
€6.0M
#4
A
Attila Szalai
TSG Hoffenheim · Super Lig
Hungary28yContract 2026
Tkl/901.54
KP/900.54
Ball-Playing CBAerial
Last 5: ↓ Dip
84% match
€12.3M
#5
D
Danilho Doekhi
FC Union Berlin · Bundesliga
Netherlands27yContract 2026
Tkl/901.00
KP/900.29
Physical StopperAerial
84% match
€13.0M
#6
A
Arseniy Batagov
Trabzonspor · Super Lig
Ukraine24yContract 2028
Tkl/901.82
KP/900.62
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
84% match
€11.0M
#7
A
Anel Ahmedhodzic
Feyenoord · Eredivisie
Bosnia and Herzegovina27yContract 2029
Tkl/901.10
KP/900.53
Ball-Playing CBBall-Playing
Last 5: → Stable
83% match
€12.0M
#8
J
Jaka Bijol
Leeds United · Premier League
Slovenia27yContract 2030
Tkl/901.30
KP/900.36
Ball-Playing CBAerial
Last 5: ↓ Dip
83% match
€18.0M
#9
V
Vitor Reis
Girona · La Liga
Brazil20yContract 2026
Tkl/901.34
KP/900.29
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
83% match
€30.0M
#10
M
Malick Thiaw
Newcastle United · Premier League
Germany24yContract 2029
Tkl/901.29
KP/900.19
Ball-Playing CBAerial
Last 5: ↑ Hot
83% match
€45.0M
#11
R
Roland Sallai
Galatasaray · Super Lig
Hungary28yContract 2028
Tkl/901.79
KP/900.88
Active Full-Back
Last 5: → Stable
83% match
€12.0M
#12
J
Jayden Oosterwolde
Fenerbahçe · Super Lig
Netherlands25yContract 2028
Tkl/901.25
KP/900.28
Ball-Playing CBBall-Playing
Last 5: → Stable
84% match
€16.0M

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 Wieteska.

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Frequently Asked Questions

Who are the best alternatives to Mateusz Wieteska?
The top alternatives to Mateusz Wieteska based on AI DNA playing style analysis include: Stefano Denswil, Tiago Djaló, Emirhan Topçu, Attila Szalai, Danilho Doekhi. 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 Wieteska in 2026?
Players with a similar profile to Mateusz Wieteska in 2026 include Stefano Denswil (€6.0M), Tiago Djaló (€7.0M), Emirhan Topçu (€6.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Mateusz Wieteska play and who plays similarly?
Mateusz Wieteska plays as a Defender. Players with a comparable positional profile include Stefano Denswil (Suriname, €6.0M); Tiago Djaló (Portugal, €7.0M); Emirhan Topçu (Turkey, €6.0M); Attila Szalai (Hungary, €12.3M).
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.