RisingTransfers
AI DNA Similarity

Best Alternatives to Jordan Bos

Players most similar to Jordan Bos (Defender, €5.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Jordan Bos

  1. 1.Mauro Júnior86% DNA match·PSV€17.0M
  2. 2.Anel Ahmedhodzic85% DNA match·Feyenoord€12.0M
  3. 3.Mees de Wit86% DNA match·AZ€4.5M

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

RT

Intelligence Verdict

DribblesTop 0%
???Bottom 16%

A Active Full-Back....

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Playing Style Analysis

Active Full-Back

A Active Full-Back. Statistically, he stands out as naturally left-footed, an elite creator (1.6 key passes/90), a prolific assist provider (0.32 assists/90), an aggressive ball-winner (3.1 tackles/90), meticulous in distribution (85% pass accuracy), wins the physical battle (57% duel success), wins the ball cleanly (2.1 successful tackles/90), central to possession (75 touches/90), active off the ball (2.9 press score/90), contributing to defensive transitions and top 10% tackler in the league. The three most similar players to Jordan Bos by playing style are:

  • Mauro Júnior(86% match)A Active Full-Back. Statistically, he stands out as naturally left-footed, an elite creator (1.5 key passes/90), a prolific assist provider (0.39 assists/90), an aggressive ball-winner (2.6 tackles/90), reads the game exceptionally (1.6 interceptions/90), meticulous in distribution (90% pass accuracy), wins the physical battle (58% duel success), heavily involved in possession (67 passes/90), creates high-quality scoring opportunities (0.56 big chances/90), central to possession (89 touches/90) and a high-intensity presser (press score 3.8/90), constantly disrupting opposition build-up.
  • Anel Ahmedhodzic(85% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.0 clearances/90), reads the game exceptionally (1.6 interceptions/90), meticulous in distribution (91% pass accuracy), wins the physical battle (60% duel success), central to possession (72 touches/90) and active off the ball (2.3 press score/90), contributing to defensive transitions.
  • Mees de Wit(86% match)A Active Full-Back. Statistically, he stands out as naturally left-footed, a capable chance creator (1.1 key passes/90), a reliable supplier (0.22 assists/90), active in the tackle (2.3 tackles/90), uses long balls frequently (5.5/90) and active off the ball (2.2 press score/90), contributing to defensive transitions.

Transfer Intelligence

Mauro Júnior delivers 86% of the same playing style, at a 240% premium over Jordan Bos, with 2.63 tackles won per 90 at age 27.

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

J
Comparison Base
Jordan Bos
DefenderAustralia€5.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
M
Mauro Júnior
PSV · Eredivisie
Brazil27yContract 2029
Tkl/902.63
KP/901.51
Active Full-BackBall-Playing
Last 5: → Stable
vs Bos: €12M more expensive · 4y older
86% match
€17.0M
#2
A
Anel Ahmedhodzic
Feyenoord · Eredivisie
Bosnia and Herzegovina27yContract 2029
Tkl/901.10
KP/900.53
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Bos: €7M more expensive · 4y older
85% match
€12.0M
#3
M
Mees de Wit
AZ · Eredivisie
Netherlands28yContract 2029
Tkl/902.28
KP/901.12
Active Full-Back
Last 5: → Stable
vs Bos: 5y older
86% match
€4.5M
#4
G
Gijs Smal
Feyenoord · Eredivisie
Netherlands28yContract 2028
Tkl/902.24
KP/901.60
Active Full-BackSmall Sample
Last 5: → Stable
86% match
€6.0M
#5
W
Wouter Goes
AZ · Eredivisie
Netherlands21yContract 2028
Tkl/901.25
KP/900.34
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
85% match
€12.0M
#6
Y
Youri Baas
Ajax · Eredivisie
Netherlands23yContract 2028
Tkl/901.79
KP/900.30
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
85% match
€16.0M
#7
S
Sergiño Dest
PSV · Eredivisie
United States25yContract 2028
Tkl/902.21
KP/901.11
Ball-Playing CBBall-Playing
Last 5: → Stable
84% match
€18.0M
#8
A
Anton Gaaei
Ajax · Eredivisie
Denmark23yContract 2028
Tkl/901.38
KP/901.48
Active Full-Back
Last 5: ↑ Hot
85% match
€5.0M
#9
A
Anass Salah-Eddine
PSV · Eredivisie
Netherlands24yContract 2026
Tkl/902.40
KP/900.86
Active Full-Back
Last 5: → Stable
85% match
€12.0M
#10
Y
Yarek Gasiorowski
PSV · Eredivisie
Spain21yContract 2030
Tkl/901.18
KP/900.22
Ball-Playing CBBall-Playing
Last 5: → Stable
84% match
€16.0M
#11
C
Calvin Bassey
Fulham · Premier League
Nigeria26yContract 2027
Tkl/902.22
KP/900.34
Ball-Playing CBBall-Playing
Last 5: → Stable
84% match
€28.0M
#12
T
Takehiro Tomiyasu
Ajax · Eredivisie
Japan27yContract 2026
Tkl/901.75
KP/900.00
Active Full-Back
Last 5: → Stable
83% match
€12.0M

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 Jordan Bos.

Ask AI about Jordan Bos

Frequently Asked Questions

Who are the best alternatives to Jordan Bos?
The top alternatives to Jordan Bos based on AI DNA playing style analysis include: Mauro Júnior, Anel Ahmedhodzic, Mees de Wit, Gijs Smal, Wouter Goes. 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 Jordan Bos in 2026?
Players with a similar profile to Jordan Bos in 2026 include Mauro Júnior (€17.0M), Anel Ahmedhodzic (€12.0M), Mees de Wit (€4.5M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Jordan Bos play and who plays similarly?
Jordan Bos plays as a Defender. Players with a comparable positional profile include Mauro Júnior (Brazil, €17.0M); Anel Ahmedhodzic (Bosnia and Herzegovina, €12.0M); Mees de Wit (Netherlands, €4.5M); Gijs Smal (Netherlands, €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.