RisingTransfers
AI DNA Similarity

Best Alternatives to Kevin Rüegg

Players most similar to Kevin Rüegg (Defender, €2.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Kevin Rüegg

  1. 1.Rasmus Kristensen83% DNA match·Eintracht Frankfurt€14.0M
  2. 2.Miro Muheim84% DNA match·Hamburger SV€4.0M
  3. 3.Matteo Ruggeri84% DNA match·Atlético Madrid€15.0M

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

RT

Intelligence Verdict

InterceptionsTop 3%

A Physical Stopper....

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Playing Style Analysis

Physical Stopper

A Physical Stopper. Statistically, he stands out as an aggressive ball-winner (2.7 tackles/90), reads the game exceptionally (2.3 interceptions/90), wins the physical battle (60% duel success), penetrates with forward passing (8.3 final-third passes/90), central to possession (72 touches/90), uses long balls frequently (5.6/90) and a high-intensity presser (press score 3.1/90), constantly disrupting opposition build-up. The three most similar players to Kevin Rüegg by playing style are:

  • Rasmus Kristensen(83% match)A Active Full-Back. Statistically, he stands out as active in the tackle (2.5 tackles/90), commanding in the air (4.4 clearances/90), reads the game exceptionally (1.5 interceptions/90), wins the physical battle (55% duel success), penetrates with forward passing (9.0 final-third passes/90), central to possession (80 touches/90), uses long balls frequently (5.7/90), a high-intensity presser (press score 3.3/90), constantly disrupting opposition build-up and top 10% tackler in the league. Note: this profile is based on 761 minutes of playing time this season.
  • Miro Muheim(84% match)A Active Full-Back. Statistically, he stands out as naturally left-footed, an elite creator (1.9 key passes/90), a prolific assist provider (0.47 assists/90), active in the tackle (2.2 tackles/90), reads the game exceptionally (1.9 interceptions/90), wins the physical battle (64% duel success), penetrates with forward passing (11.8 final-third passes/90), central to possession (78 touches/90), uses long balls frequently (7.6/90) and active off the ball (3.0 press score/90), contributing to defensive transitions. Note: this profile is based on 571 minutes of playing time this season.
  • Matteo Ruggeri(84% match)A Active Full-Back. Statistically, he stands out as naturally left-footed, a capable chance creator (1.2 key passes/90), active in the tackle (2.3 tackles/90), meticulous in distribution (87% pass accuracy) and active off the ball (2.5 press score/90), contributing to defensive transitions.

Transfer Intelligence

Rasmus Kristensen delivers 83% of the same playing style, at a 600% premium over Kevin Rüegg, with 2.39 tackles won per 90 at age 28.

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

K
Comparison Base
Kevin Rüegg
DefenderSwitzerland€2.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
R
Rasmus Kristensen
Eintracht Frankfurt · Bundesliga
Denmark28yContract 2029
Tkl/902.39
KP/900.80
Active Full-BackAerial
vs Rüegg: €12M more expensive
83% match
€14.0M
#2
M
Miro Muheim
Hamburger SV · Bundesliga
Switzerland28yContract 2027
Tkl/902.21
KP/901.89
Active Full-BackSmall Sample
84% match
€4.0M
#3
M
Matteo Ruggeri
Atlético Madrid · La Liga
Italy23yContract 2030
Tkl/902.91
KP/901.27
Active Full-Back
Last 5: → Stable
vs Rüegg: €13M more expensive · 4y younger
84% match
€15.0M
#4
K
Keita Kosugi
Eintracht Frankfurt · Bundesliga
Japan20yContract 2031
Tkl/902.46
KP/901.88
Active Full-Back
83% match
€6.0M
#5
L
Lorenz Assignon
VfB Stuttgart · Bundesliga
France25yContract 2029
Tkl/900.88
KP/901.50
Active Full-BackSmall Sample
Last 5: ↓ Dip
83% match
€10.0M
#6
S
Sascha Britschgi
Parma · Serie A
Switzerland19yContract 2030
Tkl/901.38
KP/900.86
Active Full-Back
82% match
€7.0M
#7
A
Alexander Prass
TSG Hoffenheim · Bundesliga
Austria24yContract 2028
Tkl/902.22
KP/901.23
Physical Stopper
Last 5: ↓ Dip
82% match
€7.0M
#8
J
Jordan Zemura
Udinese · Serie A
Zimbabwe26yContract 2027
Tkl/902.66
KP/900.95
Active Full-BackSmall Sample
82% match
€4.0M
#9
S
Samson Baidoo
Lens · Ligue 1
Austria22yContract 2030
Tkl/901.98
KP/900.28
Ball-Playing CBAerial
Last 5: → Stable
81% match
€12.0M
#10
J
Josha Vagnoman
VfB Stuttgart · Bundesliga
Germany25yContract 2028
Tkl/901.34
KP/900.77
Active Full-Back
Last 5: ↓ Dip
82% match
€10.0M
#11
A
Alexander Bah
Benfica · Liga Portugal
Denmark28yContract 2029
Tkl/902.88
KP/901.77
Active Full-Back
Last 5: → Stable
81% match
€9.0M
#12
L
Lukas Klostermann
RB Leipzig · Bundesliga
Germany29yContract 2028
Tkl/901.37
KP/900.10
Ball-Playing CBBall-Playing
81% 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 Kevin Rüegg.

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Frequently Asked Questions

Who are the best alternatives to Kevin Rüegg?
The top alternatives to Kevin Rüegg based on AI DNA playing style analysis include: Rasmus Kristensen, Miro Muheim, Matteo Ruggeri, Keita Kosugi, Lorenz Assignon. 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 Kevin Rüegg in 2026?
Players with a similar profile to Kevin Rüegg in 2026 include Rasmus Kristensen (€14.0M), Miro Muheim (€4.0M), Matteo Ruggeri (€15.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Kevin Rüegg play and who plays similarly?
Kevin Rüegg plays as a Defender. Players with a comparable positional profile include Rasmus Kristensen (Denmark, €14.0M); Miro Muheim (Switzerland, €4.0M); Matteo Ruggeri (Italy, €15.0M); Keita Kosugi (Japan, €6.0M).
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.