RisingTransfers
AI DNA Similarity

Best Alternatives to Jordan Beyer

Players most similar to Jordan Beyer (Defender, €15.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Jordan Beyer

  1. 1.Jaka Bijol87% DNA match·Leeds United€18.0M
  2. 2.Malick Thiaw86% DNA match·Newcastle United€45.0M
  3. 3.Arthur Theate86% DNA match·Eintracht Frankfurt€20.0M

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

RT

Intelligence Verdict

AssistsTop 24%
???Bottom 21%

A Ball-Playing CB....

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Playing Style Analysis

Ball-Playing CBBall-PlayingAerial

A Ball-Playing CB. Statistically, he stands out as active in the tackle (2.5 tackles/90), commanding in the air (4.9 clearances/90), meticulous in distribution (89% pass accuracy), wins the physical battle (60% duel success) and heavily involved in possession (62 passes/90). The three most similar players to Jordan Beyer by playing style are:

  • Jaka Bijol(87% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (7.0 clearances/90), meticulous in distribution (85% pass accuracy), wins the physical battle (56% duel success), strong in aerial duels (3.2 aerials won/90) and uses long balls frequently (6.3/90).
  • Malick Thiaw(86% match)Thiaw has quietly become one of the Premier League's most complete defensive profiles — a towering centre-back who doesn't just win his battles, he wins them cleanly. His aerial win rate of 65.1% and duel success of 64.2% both sit in the league's top 20%, but the counterintuitive story is his attacking output: 0.16 goals per 90 and 0.98 shots per 90 place him in the top 10% among defenders, suggesting a genuine threat from set-pieces that opponents routinely underestimate. His pass accuracy of 90.6% reflects a ball-player comfortable in possession-heavy systems, and his above-average delivery into the final third adds genuine build-up value.
  • Arthur Theate(86% match)A Ball-Playing CB. Statistically, he stands out as naturally left-footed, active in the tackle (2.5 tackles/90), commanding in the air (5.6 clearances/90), meticulous in distribution (88% pass accuracy), wins the physical battle (62% duel success), central to possession (80 touches/90), uses long balls frequently (6.2/90), active off the ball (2.1 press score/90), contributing to defensive transitions and top 10% tackler in the league. Note: this profile is based on 803 minutes of playing time this season.

Transfer Intelligence

Jaka Bijol delivers 87% of the same playing style, at a 20% premium over Jordan Beyer, with 1.30 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 Beyer
DefenderGermany€15.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
J
Jaka Bijol
Leeds United · Premier League
Slovenia27yContract 2030
Tkl/901.30
KP/900.36
Ball-Playing CBAerial
Last 5: ↓ Dip
vs Beyer: 2y older
87% match
€18.0M
#2
M
Malick Thiaw
Newcastle United · Premier League
Germany24yContract 2029
Tkl/901.29
KP/900.19
Ball-Playing CBAerial
Last 5: ↑ Hot
vs Beyer: €30M more expensive
86% match
€45.0M
#3
A
Arthur Theate
Eintracht Frankfurt · Bundesliga
Belgium25yContract 2029
Tkl/902.42
KP/900.70
Ball-Playing CBBall-Playing
86% match
€20.0M
#4
L
Lisandro Martínez
Manchester United · Premier League
Argentina28yContract 2027
Tkl/901.37
KP/900.34
Ball-Playing CBBall-Playing
86% match
€35.0M
#5
J
Joachim Andersen
Fulham · Premier League
Denmark29yContract 2029
Tkl/901.41
KP/900.22
Ball-Playing CBBall-Playing
Last 5: → Stable
86% match
€25.0M
#6
T
Tobias Müller
Magdeburg · Bundesliga
Germany31y
Tkl/901.65
KP/900.35
Ball-Playing CBBall-Playing
Last 5: → Stable
86% match
€5.0M
#7
T
Trevoh Chalobah
Chelsea · Premier League
England26yContract 2028
Tkl/901.15
KP/900.16
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
86% match
€40.0M
#8
C
Calvin Bassey
Fulham · Premier League
Nigeria26yContract 2027
Tkl/902.22
KP/900.34
Ball-Playing CBBall-Playing
Last 5: → Stable
86% match
€28.0M
#9
M
Maxence Lacroix
Crystal Palace · Premier League
France26yContract 2029
Tkl/901.75
KP/900.21
Ball-Playing CBAerial
Last 5: → Stable
85% match
€35.0M
#10
W
Waldemar Anton
Borussia Dortmund · Bundesliga
Germany29yContract 2028
Tkl/902.33
KP/900.44
Ball-Playing CBBall-Playing
Last 5: → Stable
85% match
€18.0M
#11
S
Sepp van den Berg
Brentford · Premier League
Netherlands24yContract 2029
Tkl/900.64
KP/900.20
Ball-Playing CBAerial
Last 5: → Stable
85% match
€28.0M
#12
K
Kevin Danso
Tottenham Hotspur · Premier League
Austria27yContract 2030
Tkl/901.84
KP/900.20
Ball-Playing CBBall-Playing
Last 5: → Stable
86% match
€22.0M

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 Beyer.

Ask AI about Jordan Beyer

Frequently Asked Questions

Who are the best alternatives to Jordan Beyer?
The top alternatives to Jordan Beyer based on AI DNA playing style analysis include: Jaka Bijol, Malick Thiaw, Arthur Theate, Lisandro Martínez, Joachim Andersen. 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 Beyer in 2026?
Players with a similar profile to Jordan Beyer in 2026 include Jaka Bijol (€18.0M), Malick Thiaw (€45.0M), Arthur Theate (€20.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Jordan Beyer play and who plays similarly?
Jordan Beyer plays as a Defender. Players with a comparable positional profile include Jaka Bijol (Slovenia, €18.0M); Malick Thiaw (Germany, €45.0M); Arthur Theate (Belgium, €20.0M); Lisandro Martínez (Argentina, €35.0M).
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.