RisingTransfers
AI DNA Similarity

Best Alternatives to Thilo Kehrer

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

Top 3 Alternatives to Thilo Kehrer

  1. 1.Jonathan Tah85% DNA match·FC Bayern München€30.0M
  2. 2.Arthur Theate85% DNA match·Eintracht Frankfurt€20.0M
  3. 3.J. Teze85% DNA match·Monaco€12.0M

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

RT

Intelligence Verdict

Aerials WonTop 16%
???Bottom 18%

A Ball-Playing CB....

See Full Verdict + Share Card →

Playing Style Analysis

Ball-Playing CBBall-PlayingSmall Sample

A Ball-Playing CB. Statistically, he stands out as comfortable with both feet, an aggressive ball-winner (3.0 tackles/90), meticulous in distribution (88% pass accuracy), wins the physical battle (60% duel success), heavily involved in possession (68 passes/90), central to possession (85 touches/90), switches play with precision (6.0 long balls/90, 63% accuracy), active off the ball (2.6 press score/90), contributing to defensive transitions and top 10% tackler in the league. Note: this profile is based on 568 minutes of playing time this season. The three most similar players to Thilo Kehrer by playing style are:

  • Jonathan Tah(85% 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.
  • Arthur Theate(85% 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.
  • J. Teze(85% match)A Ball-Playing CB. Statistically, he stands out as active off the ball (2.1 press score/90), contributing to defensive transitions. Note: this profile is based on 837 minutes of playing time this season.

Transfer Intelligence

Jonathan Tah delivers 85% of the same playing style, at a 67% premium over Thilo Kehrer, with 1.28 tackles won per 90 at age 30.

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

T
Comparison Base
Thilo Kehrer
DefenderGermany€18.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
J
Jonathan Tah
FC Bayern München · Bundesliga
Germany30yContract 2029
Tkl/901.28
KP/900.24
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
vs Kehrer: €12M more expensive
85% match
€30.0M
#2
A
Arthur Theate
Eintracht Frankfurt · Bundesliga
Belgium25yContract 2029
Tkl/902.42
KP/900.70
Ball-Playing CBBall-Playing
vs Kehrer: 4y younger
85% match
€20.0M
#3
J
J. Teze
Monaco · Ligue 1
Netherlands26yContract 2029
Tkl/901.18
KP/900.97
Ball-Playing CBSmall Sample
Last 5: ↑ Hot
vs Kehrer: €6M cheaper · 3y younger
85% match
€12.0M
#4
D
Danilho Doekhi
FC Union Berlin · Bundesliga
Netherlands27yContract 2026
Tkl/901.00
KP/900.29
Physical StopperAerial
84% match
€13.0M
#5
M
Marc Guéhi
Manchester City · Premier League
England25yContract 2026
Tkl/901.55
KP/900.45
Ball-Playing CBAerial
Last 5: → Stable
84% match
€65.0M
#6
T
Tobias Müller
Magdeburg · Bundesliga
Germany31y
Tkl/901.65
KP/900.35
Ball-Playing CBBall-Playing
Last 5: → Stable
85% match
€5.0M
#7
B
Benjamin Pavard
Olympique Marseille · Ligue 1
France30yContract 2026
Tkl/901.34
KP/900.34
Ball-Playing CBBall-Playing
85% match
€15.0M
#8
N
Nayef Aguerd
Olympique Marseille · Ligue 1
Morocco30y
Tkl/902.00
KP/900.00
Ball-Playing CBBall-Playing
85% match
€35.0M
#9
A
Arsène Kouassi
Lorient · Ligue 1
Burkina Faso21yContract 2029
Tkl/900.74
KP/901.27
Active Full-BackSmall Sample
84% match
€7.0M
#10
E
Edmond Tapsoba
Bayer 04 Leverkusen · Bundesliga
Burkina Faso27yContract 2028
Tkl/901.22
KP/900.11
Ball-Playing CBBall-Playing
Last 5: → Stable
85% match
€35.0M
#11
E
Emerson
Olympique Marseille · Ligue 1
Italy31y
Tkl/902.65
KP/901.99
Active Full-BackSmall Sample
85% match
€15.4M
#12
I
Ismaël Doukouré
Strasbourg · Ligue 1
France22yContract 2026
Tkl/901.52
KP/900.10
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
84% match
€18.0M

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 Thilo Kehrer.

Ask AI about Thilo Kehrer

Frequently Asked Questions

Who are the best alternatives to Thilo Kehrer?
The top alternatives to Thilo Kehrer based on AI DNA playing style analysis include: Jonathan Tah, Arthur Theate, J. Teze, Danilho Doekhi, Marc Guéhi. 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 Thilo Kehrer in 2026?
Players with a similar profile to Thilo Kehrer in 2026 include Jonathan Tah (€30.0M), Arthur Theate (€20.0M), J. Teze (€12.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Thilo Kehrer play and who plays similarly?
Thilo Kehrer plays as a Defender. Players with a comparable positional profile include Jonathan Tah (Germany, €30.0M); Arthur Theate (Belgium, €20.0M); J. Teze (Netherlands, €12.0M); Danilho Doekhi (Netherlands, €13.0M).
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.