RisingTransfers
AI DNA Similarity

Best Alternatives to Waldemar Anton

Players most similar to Waldemar Anton (Defender, €18.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Waldemar Anton

  1. 1.Arthur Theate86% DNA match·Eintracht Frankfurt€20.0M
  2. 2.Jonathan Tah87% DNA match·FC Bayern München€30.0M
  3. 3.Matthias Ginter86% DNA match·SC Freiburg€6.0M

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

RT

Intelligence Verdict

Aerials WonTop 5%
???Bottom 19%

A Ball-Playing CB....

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Playing Style Analysis

Ball-Playing CBBall-PlayingAerialSmall Sample

A Ball-Playing CB. Statistically, he stands out as active in the tackle (2.2 tackles/90), commanding in the air (6.0 clearances/90), meticulous in distribution (88% pass accuracy), wins the physical battle (70% duel success), heavily involved in possession (76 passes/90), penetrates with forward passing (10.2 final-third passes/90), central to possession (90 touches/90), dominant in the air (3.4 aerials won/90, 68%), uses long balls frequently (6.6/90) and active off the ball (2.6 press score/90), contributing to defensive transitions. Note: this profile is based on 720 minutes of playing time this season. The three most similar players to Waldemar Anton by playing style are:

  • Arthur Theate(86% match)A Ball-Playing CB. Statistically, he stands out as naturally left-footed, active in the tackle (2.5 tackles/90), commanding in the air (5.6 clearances/90), meticulous in distribution (88% pass accuracy), wins the physical battle (62% duel success), central to possession (80 touches/90), uses long balls frequently (6.2/90), active off the ball (2.1 press score/90), contributing to defensive transitions and top 10% tackler in the league. Note: this profile is based on 803 minutes of playing time this season.
  • Jonathan Tah(87% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.4 clearances/90), meticulous in distribution (96% pass accuracy), wins the physical battle (60% duel success), heavily involved in possession (86 passes/90), penetrates with forward passing (8.1 final-third passes/90), central to possession (98 touches/90) and active off the ball (2.2 press score/90), contributing to defensive transitions.
  • Matthias Ginter(86% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (7.2 clearances/90), meticulous in distribution (86% pass accuracy), strong in aerial duels (3.3 aerials won/90) and uses long balls frequently (6.8/90). Note: this profile is based on 540 minutes of playing time this season.

Transfer Intelligence

Arthur Theate delivers 86% of the same playing style, at a 11% premium over Waldemar Anton, with 2.42 tackles won per 90 at age 25.

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

W
Comparison Base
Waldemar Anton
DefenderGermany€18.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
A
Arthur Theate
Eintracht Frankfurt · Bundesliga
Belgium25yContract 2029
Tkl/902.42
KP/900.70
Ball-Playing CBBall-Playing
vs Anton: 4y younger
86% match
€20.0M
#2
J
Jonathan Tah
FC Bayern München · Bundesliga
Germany30yContract 2029
Tkl/901.28
KP/900.24
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
vs Anton: €12M more expensive
87% match
€30.0M
#3
M
Matthias Ginter
SC Freiburg · Bundesliga
Germany32yContract 2027
Tkl/901.14
KP/900.43
Ball-Playing CBAerial
Last 5: ↓ Dip
vs Anton: €12M cheaper · 3y older
86% match
€6.0M
#4
N
Nico Elvedi
Borussia Mönchengladbach · Bundesliga
Switzerland29yContract 2027
Tkl/901.70
KP/900.20
Ball-Playing CBAerial
86% match
€4.0M
#5
C
Cédric Zesiger
FC Augsburg · Bundesliga
Switzerland27yContract 2029
Tkl/901.10
KP/900.32
Ball-Playing CBAerial
86% match
€5.0M
#6
N
Niklas Stark
Werder Bremen · Bundesliga
Germany31yContract 2026
Tkl/902.65
KP/900.00
Ball-Playing CBBall-Playing
86% match
€3.5M
#7
H
Hiroki Ito
FC Bayern München · Bundesliga
Japan27yContract 2028
Tkl/900.41
KP/900.83
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
86% match
€18.0M
#8
T
Tobias Müller
Magdeburg · Bundesliga
Germany31y
Tkl/901.65
KP/900.35
Ball-Playing CBBall-Playing
Last 5: → Stable
86% match
€5.0M
#9
L
Lukas Ullrich
Borussia Mönchengladbach · Bundesliga
Germany22yContract 2027
Tkl/901.33
KP/900.53
Active Full-Back
85% match
€7.0M
#10
R
Rav van den Berg
FC Köln · Bundesliga
Netherlands21yContract 2030
Tkl/901.25
KP/900.00
Ball-Playing CBBall-Playing
86% match
€8.0M
#11
K
Karim Coulibaly
Werder Bremen · Bundesliga
Germany18yContract 2029
Tkl/901.40
KP/900.43
Ball-Playing CBBall-Playing
86% match
€22.0M
#12
D
Daniel Elfadli
Hamburger SV · Bundesliga
Libya29yContract 2028
Tkl/902.46
KP/900.27
Ball-Playing CBAerial
86% match
€3.5M

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 Waldemar Anton.

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Frequently Asked Questions

Who are the best alternatives to Waldemar Anton?
The top alternatives to Waldemar Anton based on AI DNA playing style analysis include: Arthur Theate, Jonathan Tah, Matthias Ginter, Nico Elvedi, Cédric Zesiger. 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 Waldemar Anton in 2026?
Players with a similar profile to Waldemar Anton in 2026 include Arthur Theate (€20.0M), Jonathan Tah (€30.0M), Matthias Ginter (€6.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Waldemar Anton play and who plays similarly?
Waldemar Anton plays as a Defender. Players with a comparable positional profile include Arthur Theate (Belgium, €20.0M); Jonathan Tah (Germany, €30.0M); Matthias Ginter (Germany, €6.0M); Nico Elvedi (Switzerland, €4.0M).
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.