RisingTransfers
AI DNA Similarity

Best Alternatives to Joshua Kimmich

Players most similar to Joshua Kimmich (Midfielder, €40.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Joshua Kimmich

  1. 1.Leon Goretzka88% DNA match·FC Bayern München€15.0M
  2. 2.Jamal Musiala86% DNA match·FC Bayern München€130.0M
  3. 3.Aleix García86% DNA match·Bayer 04 Leverkusen€20.0M

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

RT

Intelligence Verdict

Big ChancesTop 1%
???Bottom 0%

A Metronome....

See Full Verdict + Share Card →

Playing Style Analysis

MetronomeCreative

A Metronome. Statistically, he stands out as an elite creator (2.4 key passes/90), a reliable supplier (0.24 assists/90), meticulous in distribution (93% pass accuracy), wins the physical battle (56% duel success), heavily involved in possession (106 passes/90), creates high-quality scoring opportunities (0.73 big chances/90), penetrates with forward passing (16.4 final-third passes/90), central to possession (124 touches/90), switches play with precision (8.9 long balls/90, 72% accuracy), active off the ball (2.4 press score/90), contributing to defensive transitions and top 10% creator in the league. The three most similar players to Joshua Kimmich by playing style are:

  • Leon Goretzka(88% match)A Metronome. Statistically, he stands out as a capable chance creator (1.1 key passes/90), a regular goalscorer (0.21 goals/90), a reliable supplier (0.16 assists/90), meticulous in distribution (92% pass accuracy), heavily involved in possession (74 passes/90), central to possession (86 touches/90) and active off the ball (2.3 press score/90), contributing to defensive transitions.
  • Jamal Musiala(86% match)A Creator. Statistically, he stands out as an elite creator (2.0 key passes/90), a constant goal threat (3.4 shots/90), a proven goalscorer (0.60 goals/90), a dynamic dribbler (3.3/90), active in the tackle (1.8 tackles/90), creates high-quality scoring opportunities (0.90 big chances/90), central to possession (71 touches/90), draws fouls effectively (2.7/90) and top 20% creator in the league. However, he loses possession under pressure (1.6 dispossessed/90).
  • Aleix García(86% match)A Metronome. Statistically, he stands out as meticulous in distribution (92% pass accuracy), wins the physical battle (64% duel success), heavily involved in possession (98 passes/90), penetrates with forward passing (10.8 final-third passes/90), central to possession (108 touches/90) and switches play with precision (7.1 long balls/90, 69% accuracy). Note: this profile is based on 610 minutes of playing time this season.

Transfer Intelligence

Leon Goretzka delivers 88% of the same playing style, at 63% lower cost (€15.0M vs €40.0M), with 0.91 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 →

J
Comparison Base
Joshua Kimmich
MidfielderGermany€40.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
L
Leon Goretzka
FC Bayern München · Bundesliga
Germany31yContract 2026
KP/900.91
G/900.69
Metronome
Last 5: → Stable
vs Kimmich: €25M cheaper
88% match
€15.0M
#2
J
Jamal Musiala
FC Bayern München · Bundesliga
Germany23yContract 2030
KP/902.21
G/900.66
CreatorCreative
Last 5: → Stable
vs Kimmich: €90M more expensive · 8y younger
86% match
€130.0M
#3
A
Aleix García
Bayer 04 Leverkusen · Bundesliga
Spain28yContract 2026
KP/900.72
G/900.18
MetronomeSmall Sample
Last 5: ↑ Hot
vs Kimmich: €20M cheaper · 3y younger
86% match
€20.0M
#4
M
Marcel Sabitzer
Borussia Dortmund · Bundesliga
Austria32yContract 2027
KP/900.97
G/900.24
85% match
€7.0M
#5
M
Manuel Locatelli
Juventus · Serie A
Italy28yContract 2028
KP/901.88
G/900.00
MetronomeDefensive
Last 5: ↓ Dip
84% match
€25.0M
#6
M
Maximilian Arnold
VfL Wolfsburg · Bundesliga
Germany31yContract 2026
KP/901.22
G/900.00
CreatorSmall Sample
84% match
€4.5M
#7
L
Luka Modrić
AC Milan · Serie A
Croatia40yContract 2026
KP/901.48
G/900.00
MetronomeSmall Sample
Last 5: → Stable
83% match
€4.0M
#8
F
Frenkie de Jong
FC Barcelona · La Liga
Netherlands29yContract 2026
KP/901.99
G/900.00
MetronomeCreative
Last 5: → Stable
84% match
€45.0M
#9
D
Dominik Szoboszlai
Liverpool · Premier League
Hungary25yContract 2028
KP/902.00
G/900.18
CreatorCreative
Last 5: → Stable
83% match
€100.0M
#10
P
Pascal Groß
Brighton & Hove Albion · Bundesliga
Germany34yContract 2027
KP/902.16
G/900.06
MetronomeCreative
Last 5: → Stable
84% match
€3.5M
#11
R
Romano Schmid
Werder Bremen · Bundesliga
Austria26yContract 2025
KP/902.69
G/900.08
CreatorCreative
83% match
€17.0M
#12
A
Aurélien Tchouaméni
Real Madrid · La Liga
France26yContract 2028
KP/900.70
G/900.06
Metronome
Last 5: ↓ Dip
82% match
€75.0M

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 Joshua Kimmich.

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Frequently Asked Questions

Who are the best alternatives to Joshua Kimmich?
The top alternatives to Joshua Kimmich based on AI DNA playing style analysis include: Leon Goretzka, Jamal Musiala, Aleix García, Marcel Sabitzer, Manuel Locatelli. 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 Joshua Kimmich in 2026?
Players with a similar profile to Joshua Kimmich in 2026 include Leon Goretzka (€15.0M), Jamal Musiala (€130.0M), Aleix García (€20.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Joshua Kimmich play and who plays similarly?
Joshua Kimmich plays as a Midfielder. Players with a comparable positional profile include Leon Goretzka (Germany, €15.0M); Jamal Musiala (Germany, €130.0M); Aleix García (Spain, €20.0M); Marcel Sabitzer (Austria, €7.0M).
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.