AI DNA Similarity
Best Alternatives to Maximilian Eggestein
Players most similar to Maximilian Eggestein (Midfielder, €10.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Maximilian Eggestein
- 1.Yannik Engelhardt86% DNA match·Borussia Mönchengladbach€6.0M
- 2.Angelo Stiller86% DNA match·VfB Stuttgart€45.0M
- 3.Aljoscha Kemlein86% DNA match·FC Union Berlin€9.0M
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
Dribbled PastTop 7%
???Bottom 24%
“A Ball-Winner....”
See Full Verdict + Share Card →Playing Style Analysis
Ball-WinnerDefensiveSmall Sample
A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (3.0 tackles/90), wins the physical battle (58% duel success), heavily involved in play (61 touches/90), active off the ball (2.2 press score/90), contributing to defensive transitions and top 10% tackler in the league. Note: this profile is based on 630 minutes of playing time this season. The three most similar players to Maximilian Eggestein by playing style are:
- Yannik Engelhardt(86% match) — A Box-to-Box. Statistically, he stands out as a regular goalscorer (0.22 goals/90), active in the tackle (2.2 tackles/90), heavily involved in play (61 touches/90) and active off the ball (2.4 press score/90), contributing to defensive transitions. Note: this profile is based on 816 minutes of playing time this season.
- Angelo Stiller(86% match) — A Metronome. Statistically, he stands out as an elite creator (2.0 key passes/90), a prolific assist provider (0.29 assists/90), meticulous in distribution (88% pass accuracy), wins the physical battle (63% duel success), heavily involved in possession (89 passes/90), penetrates with forward passing (12.4 final-third passes/90), central to possession (104 touches/90), uses long balls frequently (6.8/90), active off the ball (2.9 press score/90), contributing to defensive transitions and top 20% creator in the league. Note: this profile is based on 625 minutes of playing time this season.
- Aljoscha Kemlein(86% match) — A Box-to-Box. Statistically, he stands out as active in the tackle (1.9 tackles/90), penetrates with forward passing (8.1 final-third passes/90), heavily involved in play (55 touches/90), uses long balls frequently (6.0/90) and active off the ball (2.9 press score/90), contributing to defensive transitions.
Transfer Intelligence
Yannik Engelhardt delivers 86% of the same playing style, at 40% lower cost (€6.0M vs €10.0M), with 0.40 key passes per 90 at age 25.
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
Y
Yannik Engelhardt
Borussia Mönchengladbach · Bundesliga
Germany25yContract 2026
KP/900.40
G/900.20
Box-to-BoxSmall Sample
vs Eggestein: 4y younger
86% match
€6.0M
#2
A
Angelo Stiller
VfB Stuttgart · Bundesliga
Germany25yContract 2028
KP/902.53
G/900.00
MetronomeCreative
Last 5: → Stablevs Eggestein: €35M more expensive · 4y younger
86% match
€45.0M
#3
A
Aljoscha Kemlein
FC Union Berlin · Bundesliga
Germany21y
KP/901.02
G/900.00
Box-to-Box
vs Eggestein: 8y younger
86% match
€9.0M
#4
M
Michel Aebischer
Pisa · Serie A
Switzerland29yContract 2026
KP/901.05
G/900.00
Balanced Midfielder
Last 5: ↑ Hot85% match
€4.0M
#5
F
Felix Nmecha
Borussia Dortmund · Bundesliga
Germany25yContract 2028
KP/900.81
G/900.12
Box-to-BoxSmall Sample
Last 5: ↓ Dip85% match
€45.0M
#6
P
Patrick Osterhage
SC Freiburg · Bundesliga
Germany26y
KP/900.56
G/900.19
Ball-Winner
85% match
€12.0M
#7
C
Chema Andrés
VfB Stuttgart · Bundesliga
Spain21yContract 2030
KP/902.14
G/900.18
Box-to-Box
Last 5: ↑ Hot85% match
€15.0M
#8
P
Patrick Sontheimer
Saarbrücken · Bundesliga
Germany27yContract 2027
KP/901.54
G/900.00
Box-to-BoxCreative
84% match
€5.0M
#9
A
Atakan Karazor
VfB Stuttgart · Bundesliga
Germany29yContract 2028
KP/901.13
G/900.00
Box-to-Box
Last 5: → Stable85% match
€9.0M
#10
W
Wouter Burger
TSG Hoffenheim · Bundesliga
Netherlands25yContract 2030
KP/902.15
G/900.13
Box-to-BoxCreative
Last 5: → Stable85% match
€9.0M
#11
L
Lennart Karl
FC Bayern München · Bundesliga
Germany18yContract 2026
KP/901.73
G/900.77
CreatorCreative
Last 5: ↑ Hot85% match
€60.0M
#12
R
Romano Schmid
Werder Bremen · Bundesliga
Austria26yContract 2025
KP/902.69
G/900.08
CreatorCreative
84% match
€17.0M
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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 Maximilian Eggestein.
Ask AI about Maximilian Eggestein →Frequently Asked Questions
Who are the best alternatives to Maximilian Eggestein?▼
The top alternatives to Maximilian Eggestein based on AI DNA playing style analysis include: Yannik Engelhardt, Angelo Stiller, Aljoscha Kemlein, Michel Aebischer, Felix Nmecha. 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 Maximilian Eggestein in 2026?▼
Players with a similar profile to Maximilian Eggestein in 2026 include Yannik Engelhardt (€6.0M), Angelo Stiller (€45.0M), Aljoscha Kemlein (€9.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Maximilian Eggestein play and who plays similarly?▼
Maximilian Eggestein plays as a Midfielder. Players with a comparable positional profile include Yannik Engelhardt (Germany, €6.0M); Angelo Stiller (Germany, €45.0M); Aljoscha Kemlein (Germany, €9.0M); Michel Aebischer (Switzerland, €4.0M).
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.