AI DNA Similarity
Best Alternatives to Julian Ryerson
Players most similar to Julian Ryerson (Defender, €20.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Julian Ryerson
- 1.Mitchell Weiser85% DNA match·Werder Bremen€3.5M
- 2.David Raum85% DNA match·RB Leipzig€22.0M
- 3.Benjamin Henrichs85% DNA match·RB Leipzig€9.0M
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
Big ChancesTop 0%
???Bottom 0%
“A Active Full-Back....”
See Full Verdict + Share Card →Playing Style Analysis
Active Full-BackSmall Sample
A Active Full-Back. Statistically, he stands out as a capable chance creator (1.2 key passes/90), a prolific assist provider (0.53 assists/90), creates high-quality scoring opportunities (0.53 big chances/90) and active off the ball (2.2 press score/90), contributing to defensive transitions. Note: this profile is based on 506 minutes of playing time this season. The three most similar players to Julian Ryerson by playing style are:
- Mitchell Weiser(85% match) — A Active Full-Back. Statistically, he stands out as a capable chance creator (1.3 key passes/90), a prolific assist provider (0.28 assists/90), active in the tackle (2.0 tackles/90) and creates high-quality scoring opportunities (0.75 big chances/90).
- 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.
- Benjamin Henrichs(85% match) — A Active Full-Back. Statistically, he stands out as a capable chance creator (1.1 key passes/90), a reliable supplier (0.19 assists/90), an aggressive ball-winner (2.9 tackles/90), wins the physical battle (56% duel success), creates high-quality scoring opportunities (0.77 big chances/90) and top 10% tackler in the league.
Transfer Intelligence
Mitchell Weiser delivers 85% of the same playing style, at 83% lower cost (€3.5M vs €20.0M), with 1.97 tackles won per 90 at age 32.
Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →
Similar Players — Ranked by DNA Similarity
#1
M
Mitchell Weiser
Werder Bremen · Bundesliga
Germany32yContract 2024
Tkl/901.97
KP/901.29
Active Full-Back
vs Ryerson: €17M cheaper · 4y older
85% match
€3.5M
#2
D
David Raum
RB Leipzig · Bundesliga
Germany28yContract 2027
Tkl/901.81
KP/902.57
Active Full-BackBall-Playing
Last 5: → Stable85% match
€22.0M
#3
B
Benjamin Henrichs
RB Leipzig · Bundesliga
Germany29yContract 2028
Tkl/902.89
KP/900.96
Active Full-Back
vs Ryerson: €11M cheaper
85% match
€9.0M
#4
S
Sebastian Sebulonsen
FC Köln · Bundesliga
Norway26yContract 2028
Tkl/900.81
KP/900.46
AerialSmall Sample
85% match
€5.5M
#5
R
Ramy Bensebaini
Borussia Dortmund · Bundesliga
Algeria31yContract 2027
Tkl/903.14
KP/900.12
Ball-Playing CBBall-Playing
85% match
€7.0M
#6
J
Jeremy Toljan
Levante · La Liga
Germany31y
Tkl/901.69
KP/900.87
Active Full-Back
Last 5: ↓ Dip84% match
€3.5M
#7
B
Borna Sosa
Crystal Palace · Premier League
Croatia28yContract 2028
Tkl/901.85
KP/900.92
Active Full-BackSmall Sample
Last 5: ↓ Dip84% match
€4.0M
#8
N
Nathaniel Brown
Eintracht Frankfurt · Bundesliga
Germany22yContract 2030
Tkl/903.65
KP/901.22
Active Full-BackSmall Sample
Last 5: → Stable84% match
€35.0M
#9
M
Maximilian Mittelstädt
VfB Stuttgart · Bundesliga
Germany29yContract 2028
Tkl/902.76
KP/901.91
Active Full-BackBall-Playing
Last 5: → Stable84% match
€18.0M
#10
R
Rasmus Kristensen
Eintracht Frankfurt · Bundesliga
Denmark28yContract 2029
Tkl/902.39
KP/900.80
Active Full-BackAerial
83% match
€14.0M
#11
J
Joe Scally
Borussia Mönchengladbach · Bundesliga
United States23yContract 2027
Tkl/901.50
KP/900.50
Active Full-BackSmall Sample
Last 5: ↓ Dip84% match
€7.0M
#12
A
Alphonso Davies
FC Bayern München · Bundesliga
Canada25yContract 2030
Tkl/902.55
KP/902.55
Active Full-BackBall-Playing
Last 5: → Stable83% match
€50.0M
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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 Julian Ryerson.
Ask AI about Julian Ryerson →Frequently Asked Questions
Who are the best alternatives to Julian Ryerson?▼
The top alternatives to Julian Ryerson based on AI DNA playing style analysis include: Mitchell Weiser, David Raum, Benjamin Henrichs, Sebastian Sebulonsen, Ramy Bensebaini. 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 Julian Ryerson in 2026?▼
Players with a similar profile to Julian Ryerson in 2026 include Mitchell Weiser (€3.5M), David Raum (€22.0M), Benjamin Henrichs (€9.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Julian Ryerson play and who plays similarly?▼
Julian Ryerson plays as a Defender. Players with a comparable positional profile include Mitchell Weiser (Germany, €3.5M); David Raum (Germany, €22.0M); Benjamin Henrichs (Germany, €9.0M); Sebastian Sebulonsen (Norway, €5.5M).
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.