RisingTransfers
AI DNA Similarity

Best Alternatives to Ridle Baku

Players most similar to Ridle Baku (Defender, €12.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Ridle Baku

  1. 1.Felix Agu86% DNA match·Werder Bremen€6.0M
  2. 2.Keita Kosugi85% DNA match·Eintracht Frankfurt€6.0M
  3. 3.David Raum85% DNA match·RB Leipzig€22.0M

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

RT

Intelligence Verdict

Press IntensityTop 4%
???Bottom 11%

A Active Full-Back....

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Playing Style Analysis

Active Full-BackBall-PlayingSmall Sample

A Active Full-Back. Statistically, he stands out as a capable chance creator (1.3 key passes/90), active in the tackle (2.3 tackles/90), meticulous in distribution (88% pass accuracy), heavily involved in possession (61 passes/90), central to possession (85 touches/90), switches play with precision (6.0 long balls/90, 72% accuracy) and active off the ball (3.0 press score/90), contributing to defensive transitions. Note: this profile is based on 540 minutes of playing time this season. The three most similar players to Ridle Baku by playing style are:

  • Felix Agu(86% match)A Active Full-Back. Statistically, he stands out as active in the tackle (2.4 tackles/90), wins the physical battle (69% duel success) and active off the ball (2.5 press score/90), contributing to defensive transitions. Note: this profile is based on 681 minutes of playing time this season.
  • Keita Kosugi(85% match)A Active Full-Back. Statistically, he stands out as naturally left-footed, an elite creator (1.9 key passes/90), a reliable supplier (0.19 assists/90), active in the tackle (2.5 tackles/90), central to possession (78 touches/90) and active off the ball (2.5 press score/90), contributing to defensive transitions.
  • David Raum(85% match)A Active Full-Back. Statistically, he stands out as naturally left-footed, an elite creator (2.4 key passes/90), a prolific assist provider (0.34 assists/90), active in the tackle (2.0 tackles/90), heavily involved in possession (64 passes/90), creates high-quality scoring opportunities (0.68 big chances/90), penetrates with forward passing (9.4 final-third passes/90), central to possession (95 touches/90), uses long balls frequently (5.8/90) and active off the ball (2.7 press score/90), contributing to defensive transitions. Note: this profile is based on 527 minutes of playing time this season.

Transfer Intelligence

Felix Agu delivers 86% of the same playing style, at 50% lower cost (€6.0M vs €12.0M), with 2.49 tackles won per 90 at age 26.

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

R
Comparison Base
Ridle Baku
DefenderGermany€12.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
F
Felix Agu
Werder Bremen · Bundesliga
Germany26yContract 2027
Tkl/902.49
KP/901.04
Active Full-BackSmall Sample
Last 5: → Stable
vs Baku: €6M cheaper · 2y younger
86% match
€6.0M
#2
K
Keita Kosugi
Eintracht Frankfurt · Bundesliga
Japan20yContract 2031
Tkl/902.46
KP/901.88
Active Full-Back
vs Baku: €6M cheaper · 8y younger
85% match
€6.0M
#3
D
David Raum
RB Leipzig · Bundesliga
Germany28yContract 2027
Tkl/901.81
KP/902.57
Active Full-BackBall-Playing
Last 5: → Stable
vs Baku: €10M more expensive
85% match
€22.0M
#4
M
Maximilian Mittelstädt
VfB Stuttgart · Bundesliga
Germany29yContract 2028
Tkl/902.76
KP/901.91
Active Full-BackBall-Playing
Last 5: → Stable
86% match
€18.0M
#5
A
Albian Hajdari
TSG Hoffenheim · Bundesliga
Switzerland22yContract 2029
Tkl/901.18
KP/900.17
Ball-Playing CBBall-Playing
85% match
€20.0M
#6
D
Danilho Doekhi
FC Union Berlin · Bundesliga
Netherlands27yContract 2026
Tkl/901.00
KP/900.29
Physical StopperAerial
84% match
€13.0M
#7
S
Stefan Posch
FSV Mainz 05 · Bundesliga
Austria28yContract 2026
Tkl/901.50
KP/900.25
Physical StopperAerial
Last 5: → Stable
84% match
€5.5M
#8
N
Nico Schlotterbeck
Borussia Dortmund · Bundesliga
Germany26yContract 2027
Tkl/902.00
KP/900.89
Ball-Playing CBBall-Playing
Last 5: → Stable
84% match
€55.0M
#9
N
Noahkai Banks
FC Augsburg · Bundesliga
Germany19yContract 2029
Tkl/902.18
KP/900.39
Ball-Playing CBAerial
84% match
€15.0M
#10
M
Maik Nawrocki
Hannover 96 · Bundesliga
Poland25yContract 2026
Tkl/901.41
KP/901.21
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
84% match
€5.0M
#11
A
Abdülkerim Bardakcı
Galatasaray · Super Lig
Turkey31yContract 2027
Tkl/901.45
KP/900.56
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
83% match
€6.5M
#12
R
Rasmus Kristensen
Eintracht Frankfurt · Bundesliga
Denmark28yContract 2029
Tkl/902.39
KP/900.80
Active Full-BackAerial
83% match
€14.0M

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 Ridle Baku.

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Frequently Asked Questions

Who are the best alternatives to Ridle Baku?
The top alternatives to Ridle Baku based on AI DNA playing style analysis include: Felix Agu, Keita Kosugi, David Raum, Maximilian Mittelstädt, Albian Hajdari. 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 Ridle Baku in 2026?
Players with a similar profile to Ridle Baku in 2026 include Felix Agu (€6.0M), Keita Kosugi (€6.0M), David Raum (€22.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Ridle Baku play and who plays similarly?
Ridle Baku plays as a Defender. Players with a comparable positional profile include Felix Agu (Germany, €6.0M); Keita Kosugi (Japan, €6.0M); David Raum (Germany, €22.0M); Maximilian Mittelstädt (Germany, €18.0M).
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.