RisingTransfers
AI DNA Similarity

Best Alternatives to Marco Friedl

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

Top 3 Alternatives to Marco Friedl

  1. 1.Stefan Posch88% DNA match·FSV Mainz 05€5.5M
  2. 2.David Raum87% DNA match·RB Leipzig€22.0M
  3. 3.Clemens Riedel87% DNA match·Espanyol€5.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 23%

A Ball-Playing CB....

See Full Verdict + Share Card →

Playing Style Analysis

Ball-Playing CBBall-PlayingAerial

A Ball-Playing CB. Statistically, he stands out as naturally left-footed, commanding in the air (5.3 clearances/90), meticulous in distribution (89% pass accuracy), wins the physical battle (62% duel success), heavily involved in possession (62 passes/90), penetrates with forward passing (9.2 final-third passes/90), central to possession (78 touches/90), uses long balls frequently (7.0/90) and active off the ball (2.5 press score/90), contributing to defensive transitions. The three most similar players to Marco Friedl by playing style are:

  • Stefan Posch(88% match)A Physical Stopper. Statistically, he stands out as an aggressive ball-winner (3.6 tackles/90), commanding in the air (6.5 clearances/90), reads the game exceptionally (1.6 interceptions/90), wins the physical battle (65% duel success), penetrates with forward passing (8.2 final-third passes/90), uses long balls frequently (7.8/90), active off the ball (2.5 press score/90), contributing to defensive transitions and top 10% tackler in the league.
  • David Raum(87% 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.
  • Clemens Riedel(87% match)A Ball-Playing CB. Statistically, he stands out as a reliable supplier (0.18 assists/90), active in the tackle (2.4 tackles/90), commanding in the air (6.5 clearances/90), meticulous in distribution (90% pass accuracy), wins the physical battle (60% duel success), uses long balls frequently (6.3/90) and active off the ball (2.2 press score/90), contributing to defensive transitions. Note: this profile is based on 498 minutes of playing time this season.

Transfer Intelligence

Stefan Posch delivers 88% of the same playing style, at 54% lower cost (€5.5M vs €12.0M), with 1.50 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 →

M
Comparison Base
Marco Friedl
DefenderAustria€12.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
S
Stefan Posch
FSV Mainz 05 · Bundesliga
Austria28yContract 2026
Tkl/901.50
KP/900.25
Physical StopperAerial
Last 5: → Stable
vs Friedl: €7M cheaper
88% match
€5.5M
#2
D
David Raum
RB Leipzig · Bundesliga
Germany28yContract 2027
Tkl/901.81
KP/902.57
Active Full-BackBall-Playing
Last 5: → Stable
vs Friedl: €10M more expensive
87% match
€22.0M
#3
C
Clemens Riedel
Espanyol · La Liga
Germany22yContract 2029
Tkl/902.35
KP/900.18
Ball-Playing CBAerial
vs Friedl: €7M cheaper · 6y younger
87% match
€5.0M
#4
L
Lukas Ullrich
Borussia Mönchengladbach · Bundesliga
Germany22yContract 2027
Tkl/901.33
KP/900.53
Active Full-Back
85% match
€7.0M
#5
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
#6
F
Finn Jeltsch
VfB Stuttgart · Bundesliga
Germany19yContract 2030
Tkl/900.74
KP/900.62
Ball-Playing CBBall-Playing
Last 5: → Stable
86% match
€25.0M
#7
D
Daniel Elfadli
Hamburger SV · Bundesliga
Libya29yContract 2028
Tkl/902.46
KP/900.27
Ball-Playing CBAerial
86% match
€3.5M
#8
S
Sebastian Sebulonsen
FC Köln · Bundesliga
Norway26yContract 2028
Tkl/900.81
KP/900.46
AerialSmall Sample
86% match
€5.5M
#9
M
Max Rosenfelder
SC Freiburg · Bundesliga
Germany23y
Tkl/901.59
KP/900.00
Ball-Playing CBAerial
86% match
€8.0M
#10
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
#11
N
Nathaniel Brown
Eintracht Frankfurt · Bundesliga
Germany22yContract 2030
Tkl/903.65
KP/901.22
Active Full-BackSmall Sample
Last 5: → Stable
86% match
€35.0M
#12
P
Philipp Lienhart
SC Freiburg · Bundesliga
Austria29y
Tkl/901.71
KP/900.23
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
85% 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 Marco Friedl.

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Frequently Asked Questions

Who are the best alternatives to Marco Friedl?
The top alternatives to Marco Friedl based on AI DNA playing style analysis include: Stefan Posch, David Raum, Clemens Riedel, Lukas Ullrich, Waldemar Anton. 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 Marco Friedl in 2026?
Players with a similar profile to Marco Friedl in 2026 include Stefan Posch (€5.5M), David Raum (€22.0M), Clemens Riedel (€5.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Marco Friedl play and who plays similarly?
Marco Friedl plays as a Defender. Players with a comparable positional profile include Stefan Posch (Austria, €5.5M); David Raum (Germany, €22.0M); Clemens Riedel (Germany, €5.0M); Lukas Ullrich (Germany, €7.0M).
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.