AI DNA Similarity
Best Alternatives to Alexander Prass
Players most similar to Alexander Prass (Defender, €7.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Alexander Prass
- 1.Keita Kosugi86% DNA match·Eintracht Frankfurt€6.0M
- 2.Rasmus Kristensen86% DNA match·Eintracht Frankfurt€14.0M
- 3.Stefan Posch86% DNA match·FSV Mainz 05€5.5M
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
Ball RecoveriesTop 6%
???Bottom 0%
“A Physical Stopper....”
See Full Verdict + Share Card →Playing Style Analysis
Physical Stopper
A Physical Stopper. Statistically, he stands out as naturally left-footed, a capable chance creator (1.2 key passes/90), an aggressive ball-winner (2.6 tackles/90), active off the ball (2.7 press score/90), contributing to defensive transitions and top 10% tackler in the league. The three most similar players to Alexander Prass by playing style are:
- Keita Kosugi(86% match) — A Active Full-Back. Statistically, he stands out as naturally left-footed, an elite creator (1.9 key passes/90), a reliable supplier (0.19 assists/90), active in the tackle (2.5 tackles/90), central to possession (78 touches/90) and active off the ball (2.5 press score/90), contributing to defensive transitions.
- Rasmus Kristensen(86% match) — A Active Full-Back. Statistically, he stands out as active in the tackle (2.5 tackles/90), commanding in the air (4.4 clearances/90), reads the game exceptionally (1.5 interceptions/90), wins the physical battle (55% duel success), penetrates with forward passing (9.0 final-third passes/90), central to possession (80 touches/90), uses long balls frequently (5.7/90), a high-intensity presser (press score 3.3/90), constantly disrupting opposition build-up and top 10% tackler in the league. Note: this profile is based on 761 minutes of playing time this season.
- Stefan Posch(86% 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.
Transfer Intelligence
Keita Kosugi delivers 86% of the same playing style, at 14% lower cost (€6.0M vs €7.0M), with 2.46 tackles won per 90 at age 20.
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
K
Keita Kosugi
Eintracht Frankfurt · Bundesliga
Japan20yContract 2031
Tkl/902.46
KP/901.88
Active Full-Back
vs Prass: 4y younger
86% match
€6.0M
#2
R
Rasmus Kristensen
Eintracht Frankfurt · Bundesliga
Denmark28yContract 2029
Tkl/902.39
KP/900.80
Active Full-BackAerial
vs Prass: €7M more expensive · 4y older
86% match
€14.0M
#3
S
Stefan Posch
FSV Mainz 05 · Bundesliga
Austria28yContract 2026
Tkl/901.50
KP/900.25
Physical StopperAerial
Last 5: → Stablevs Prass: 4y older
86% match
€5.5M
#4
S
Sebastian Sebulonsen
FC Köln · Bundesliga
Norway26yContract 2028
Tkl/900.81
KP/900.46
AerialSmall Sample
86% match
€5.5M
#5
M
Maximilian Mittelstädt
VfB Stuttgart · Bundesliga
Germany29yContract 2028
Tkl/902.76
KP/901.91
Active Full-BackBall-Playing
Last 5: → Stable86% match
€18.0M
#6
D
David Raum
RB Leipzig · Bundesliga
Germany28yContract 2027
Tkl/901.81
KP/902.57
Active Full-BackBall-Playing
Last 5: → Stable85% match
€22.0M
#7
A
Aaron Zehnter
VfL Wolfsburg · Bundesliga
Germany21yContract 2030
Tkl/900.94
KP/900.94
Active Full-BackSmall Sample
86% match
€6.0M
#8
L
Lorenz Assignon
VfB Stuttgart · Bundesliga
France25yContract 2029
Tkl/900.88
KP/901.50
Active Full-BackSmall Sample
Last 5: ↓ Dip86% match
€10.0M
#9
K
Kristoffer Lund
FC Köln · Bundesliga
Denmark23yContract 2026
Tkl/901.27
KP/900.91
Active Full-BackAerial
86% match
€4.0M
#10
B
Bernardo
TSG Hoffenheim · Bundesliga
Brazil30y
Tkl/901.97
KP/900.13
Active Full-BackBall-Playing
Last 5: ↓ Dip85% match
€5.0M
#11
D
Dimitrios Giannoulis
FC Augsburg · Bundesliga
Greece30yContract 2028
Tkl/900.95
KP/901.33
Active Full-Back
85% match
€3.0M
#12
J
Jenson Seelt
VfL Wolfsburg · Bundesliga
Netherlands22yContract 2026
Tkl/901.67
KP/900.00
Ball-Playing CBAerial
85% match
€5.0M
⬡
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 Alexander Prass.
Ask AI about Alexander Prass →Frequently Asked Questions
Who are the best alternatives to Alexander Prass?▼
The top alternatives to Alexander Prass based on AI DNA playing style analysis include: Keita Kosugi, Rasmus Kristensen, Stefan Posch, Sebastian Sebulonsen, Maximilian Mittelstädt. 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 Alexander Prass in 2026?▼
Players with a similar profile to Alexander Prass in 2026 include Keita Kosugi (€6.0M), Rasmus Kristensen (€14.0M), Stefan Posch (€5.5M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Alexander Prass play and who plays similarly?▼
Alexander Prass plays as a Defender. Players with a comparable positional profile include Keita Kosugi (Japan, €6.0M); Rasmus Kristensen (Denmark, €14.0M); Stefan Posch (Austria, €5.5M); 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.