RisingTransfers
AI DNA Similarity

Best Alternatives to Stefan Lainer

Players most similar to Stefan Lainer (Defender, €12.5M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Stefan Lainer

  1. 1.Konrad Laimer87% DNA match·FC Bayern München€32.0M
  2. 2.Mitchell Weiser86% DNA match·Werder Bremen€3.5M
  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

Key PassesTop 4%
???Bottom 8%

Lainer occupies a rare space in the Austrian Bundesliga: a defender whose most dangerous...

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Playing Style Analysis

Ball-Playing CBBall-Playing

Lainer occupies a rare space in the Austrian Bundesliga: a defender whose most dangerous contribution isn't stopping attacks but starting them. His key pass rate of 1.54 per 90 minutes places him in the top 5% among defenders in the league—a number that belongs on a creative midfielder's résumé, not a right back's. His 71.4% duel win rate further confirms he isn't sacrificing defensive solidity for that attacking output. The three most similar players to Stefan Lainer by playing style are:

  • Konrad Laimer(87% match)A Active Full-Back. Statistically, he stands out as an elite creator (2.0 key passes/90), a prolific assist provider (0.42 assists/90), active in the tackle (1.9 tackles/90), meticulous in distribution (90% pass accuracy), heavily involved in possession (61 passes/90), central to possession (83 touches/90) and active off the ball (2.1 press score/90), contributing to defensive transitions.
  • Mitchell Weiser(86% 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.

Transfer Intelligence

Konrad Laimer delivers 87% of the same playing style, at a 156% premium over Stefan Lainer, with 2.63 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 →

S
Comparison Base
Stefan Lainer
DefenderAustria€12.5M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
K
Konrad Laimer
FC Bayern München · Bundesliga
Austria28yContract 2027
Tkl/902.63
KP/900.84
Active Full-BackBall-Playing
Last 5: → Stable
vs Lainer: €20M more expensive · 5y younger
87% match
€32.0M
#2
M
Mitchell Weiser
Werder Bremen · Bundesliga
Germany32yContract 2024
Tkl/901.97
KP/901.29
Active Full-Back
vs Lainer: €9M cheaper
86% match
€3.5M
#3
D
David Raum
RB Leipzig · Bundesliga
Germany28yContract 2027
Tkl/901.81
KP/902.57
Active Full-BackBall-Playing
Last 5: → Stable
vs Lainer: €10M more expensive · 5y younger
85% match
€22.0M
#4
R
Rasmus Kristensen
Eintracht Frankfurt · Bundesliga
Denmark28yContract 2029
Tkl/902.39
KP/900.80
Active Full-BackAerial
85% match
€14.0M
#5
V
Valentino Lazaro
Torino · Serie A
Austria30yContract 2026
Tkl/901.81
KP/901.45
Solid Defender
86% match
€4.0M
#6
S
Stefan Posch
FSV Mainz 05 · Bundesliga
Austria28yContract 2026
Tkl/901.50
KP/900.25
Physical StopperAerial
Last 5: → Stable
84% match
€5.5M
#7
L
Lukas Klostermann
RB Leipzig · Bundesliga
Germany29yContract 2028
Tkl/901.37
KP/900.10
Ball-Playing CBBall-Playing
84% match
€3.5M
#8
R
Ramy Bensebaini
Borussia Dortmund · Bundesliga
Algeria31yContract 2027
Tkl/903.14
KP/900.12
Ball-Playing CBBall-Playing
84% match
€7.0M
#9
J
Jeremy Toljan
Levante · La Liga
Germany31y
Tkl/901.69
KP/900.87
Active Full-Back
Last 5: ↓ Dip
83% match
€3.5M
#10
D
Daniel Svensson
Borussia Dortmund · Bundesliga
Sweden24yContract 2029
Tkl/901.51
KP/900.13
Active Full-BackSmall Sample
84% match
€22.0M
#11
J
Julian Ryerson
Borussia Dortmund · Bundesliga
Norway28yContract 2028
Tkl/902.38
KP/902.38
Active Full-BackSmall Sample
Last 5: → Stable
84% match
€20.0M
#12
K
Keita Kosugi
Eintracht Frankfurt · Bundesliga
Japan20yContract 2031
Tkl/902.46
KP/901.88
Active Full-Back
83% match
€6.0M

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 Stefan Lainer.

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Frequently Asked Questions

Who are the best alternatives to Stefan Lainer?
The top alternatives to Stefan Lainer based on AI DNA playing style analysis include: Konrad Laimer, Mitchell Weiser, David Raum, Rasmus Kristensen, Valentino Lazaro. 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 Stefan Lainer in 2026?
Players with a similar profile to Stefan Lainer in 2026 include Konrad Laimer (€32.0M), Mitchell Weiser (€3.5M), 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 Stefan Lainer play and who plays similarly?
Stefan Lainer plays as a Defender. Players with a comparable positional profile include Konrad Laimer (Austria, €32.0M); Mitchell Weiser (Germany, €3.5M); David Raum (Germany, €22.0M); Rasmus Kristensen (Denmark, €14.0M).
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.