RisingTransfers
AI DNA Similarity

Best Alternatives to Kevin Stöger

Players most similar to Kevin Stöger (Midfielder, €3.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Kevin Stöger

  1. 1.Pascal Groß88% DNA match·Brighton & Hove Albion€3.5M
  2. 2.Anton Stach85% DNA match·Leeds United€20.0M
  3. 3.Wouter Burger86% DNA match·TSG Hoffenheim€9.0M

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

RT

Intelligence Verdict

Big ChancesTop 14%
???Bottom 0%

A Creator....

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Playing Style Analysis

CreatorCreativeDefensive

A Creator. Statistically, he stands out as naturally left-footed, an elite creator (1.9 key passes/90), an aggressive ball-winner (2.7 tackles/90), central to possession (73 touches/90), draws fouls effectively (2.1/90), active off the ball (2.5 press score/90), contributing to defensive transitions, top 10% creator in the league and top 10% tackler in the league. The three most similar players to Kevin Stöger by playing style are:

  • Pascal Groß(88% match)A Metronome. Statistically, he stands out as an elite creator (1.6 key passes/90), a reliable supplier (0.15 assists/90), meticulous in distribution (87% pass accuracy), heavily involved in possession (68 passes/90), penetrates with forward passing (9.4 final-third passes/90), central to possession (84 touches/90) and active off the ball (2.0 press score/90), contributing to defensive transitions. Note: this profile is based on 615 minutes of playing time this season.
  • Anton Stach(85% match)A Box-to-Box. Statistically, he stands out as an elite creator (2.5 key passes/90), a regular goalscorer (0.20 goals/90), active in the tackle (2.4 tackles/90), heavily involved in play (58 touches/90), active off the ball (2.5 press score/90), contributing to defensive transitions and top 10% creator in the league.
  • Wouter Burger(86% match)A Box-to-Box. Statistically, he stands out as naturally left-footed, an elite creator (2.0 key passes/90), a prolific assist provider (0.55 assists/90), active in the tackle (1.8 tackles/90), wins the physical battle (56% duel success), creates high-quality scoring opportunities (0.92 big chances/90), penetrates with forward passing (8.8 final-third passes/90), heavily involved in play (70 touches/90), dominant in the air (3.1 aerials won/90, 75%), uses long balls frequently (6.0/90), active off the ball (2.3 press score/90), contributing to defensive transitions and top 20% creator in the league. Note: this profile is based on 491 minutes of playing time this season.

Transfer Intelligence

Pascal Groß delivers 88% of the same playing style, at a 17% premium over Kevin Stöger, with 2.16 key passes per 90 at age 34.

Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →

K
Comparison Base
Kevin Stöger
MidfielderAustria€3.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
P
Pascal Groß
Brighton & Hove Albion · Bundesliga
Germany34yContract 2027
KP/902.16
G/900.06
MetronomeCreative
Last 5: → Stable
vs Stöger: 2y older
88% match
€3.5M
#2
A
Anton Stach
Leeds United · Premier League
Germany27yContract 2029
KP/902.46
G/900.20
Box-to-BoxCreative
Last 5: → Stable
vs Stöger: €17M more expensive · 5y younger
85% match
€20.0M
#3
W
Wouter Burger
TSG Hoffenheim · Bundesliga
Netherlands25yContract 2030
KP/902.15
G/900.13
Box-to-BoxCreative
Last 5: → Stable
vs Stöger: €6M more expensive · 7y younger
86% match
€9.0M
#4
F
Florian Neuhaus
Borussia Mönchengladbach · Bundesliga
Germany29yContract 2027
KP/900.38
G/900.00
Small Sample
85% match
€3.5M
#5
R
Romano Schmid
Werder Bremen · Bundesliga
Austria26yContract 2025
KP/902.69
G/900.08
CreatorCreative
85% match
€17.0M
#6
N
Niklas Hauptmann
Dynamo Dresden · Bundesliga
Germany29yContract 2028
KP/900.70
G/900.10
Balanced Midfielder
Last 5: ↑ Hot
85% match
€3.4M
#7
D
Danel Sinani
St. Pauli · Bundesliga
Luxembourg29y
KP/902.13
G/900.43
CreatorCreative
85% match
€3.0M
#8
A
Angelo Stiller
VfB Stuttgart · Bundesliga
Germany25yContract 2028
KP/902.53
G/900.00
MetronomeCreative
Last 5: → Stable
85% match
€45.0M
#9
C
Christoph Baumgartner
RB Leipzig · Bundesliga
Austria26yContract 2028
KP/901.38
G/900.55
CreatorCreative
Last 5: ↓ Dip
84% match
€20.0M
#10
M
Mert Kömür
FC Augsburg · Bundesliga
Germany20yContract 2029
KP/901.54
G/900.00
CreatorCreative
85% match
€12.0M
#11
V
Vincenzo Grifo
SC Freiburg · Bundesliga
Italy33yContract 2027
KP/901.69
G/900.50
CreatorCreative
Last 5: → Stable
85% match
€5.0M
#12
C
Cameron Puertas
Werder Bremen · Bundesliga
Spain27yContract 2026
KP/901.54
G/900.00
Box-to-BoxDefensive
85% match
€10.0M

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 Kevin Stöger.

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Frequently Asked Questions

Who are the best alternatives to Kevin Stöger?
The top alternatives to Kevin Stöger based on AI DNA playing style analysis include: Pascal Groß, Anton Stach, Wouter Burger, Florian Neuhaus, Romano Schmid. 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 Kevin Stöger in 2026?
Players with a similar profile to Kevin Stöger in 2026 include Pascal Groß (€3.5M), Anton Stach (€20.0M), Wouter Burger (€9.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Kevin Stöger play and who plays similarly?
Kevin Stöger plays as a Midfielder. Players with a comparable positional profile include Pascal Groß (Germany, €3.5M); Anton Stach (Germany, €20.0M); Wouter Burger (Netherlands, €9.0M); Florian Neuhaus (Germany, €3.5M).
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.