RisingTransfers
AI DNA Similarity

Best Alternatives to Florian Wirtz

Players most similar to Florian Wirtz (Midfielder, €110.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Florian Wirtz

  1. 1.Rayan Cherki87% DNA match·Manchester City€50.0M
  2. 2.Martin Ødegaard86% DNA match·Arsenal€65.0M
  3. 3.Dominik Szoboszlai86% DNA match·Liverpool€100.0M

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

RT

Intelligence Verdict

Key PassesTop 3%
???Bottom 2%

A Creator....

See Full Verdict + Share Card →

Playing Style Analysis

CreatorCreative

A Creator. Statistically, he stands out as an elite creator (2.3 key passes/90), central to possession (70 touches/90), active off the ball (2.1 press score/90), contributing to defensive transitions and top 10% creator in the league. However, he loses possession under pressure (1.5 dispossessed/90). The three most similar players to Florian Wirtz by playing style are:

  • Rayan Cherki(87% match)A Creator. Statistically, he stands out as comfortable with both feet, an elite creator (3.2 key passes/90), a constant goal threat (2.8 shots/90), a regular goalscorer (0.21 goals/90), a prolific assist provider (0.58 assists/90), a dynamic dribbler (2.5/90), meticulous in distribution (86% pass accuracy), heavily involved in possession (65 passes/90), creates high-quality scoring opportunities (0.84 big chances/90), central to possession (89 touches/90), active off the ball (2.2 press score/90), contributing to defensive transitions and top 10% creator in the league. However, he loses possession under pressure (1.8 dispossessed/90).
  • Martin Ødegaard(86% match)A Creator. Statistically, he stands out as naturally left-footed, an elite creator (2.7 key passes/90), a prolific assist provider (0.42 assists/90), heavily involved in play (64 touches/90), active off the ball (2.2 press score/90), contributing to defensive transitions and top 10% creator in the league.
  • Dominik Szoboszlai(86% match)A Creator. Statistically, he stands out as an elite creator (2.0 key passes/90), a reliable supplier (0.15 assists/90), meticulous in distribution (88% pass accuracy), heavily involved in possession (62 passes/90), penetrates with forward passing (8.4 final-third passes/90), central to possession (84 touches/90), switches play with precision (5.9 long balls/90, 64% accuracy), active off the ball (2.7 press score/90), contributing to defensive transitions and top 10% creator in the league.

Transfer Intelligence

Rayan Cherki delivers 87% of the same playing style, at 55% lower cost (€50.0M vs €110.0M), with 3.21 key passes per 90 at age 22.

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

F
Comparison Base
Florian Wirtz
MidfielderGermany€110.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
R
Rayan Cherki
Manchester City · Premier League
France22yContract 2030
KP/903.21
G/900.21
CreatorCreative
Last 5: → Stable
vs Wirtz: €60M cheaper
87% match
€50.0M
#2
M
Martin Ødegaard
Arsenal · Premier League
Norway27yContract 2028
KP/902.74
G/900.07
CreatorCreative
Last 5: → Stable
vs Wirtz: €45M cheaper · 4y older
86% match
€65.0M
#3
D
Dominik Szoboszlai
Liverpool · Premier League
Hungary25yContract 2028
KP/902.00
G/900.18
CreatorCreative
Last 5: → Stable
vs Wirtz: €10M cheaper · 2y older
86% match
€100.0M
#4
J
Justin Kluivert
AFC Bournemouth · Premier League
Netherlands27yContract 2028
KP/902.05
G/900.20
CreatorCreative
86% match
€32.0M
#5
J
Jamal Musiala
FC Bayern München · Bundesliga
Germany23yContract 2030
KP/902.21
G/900.66
CreatorCreative
Last 5: → Stable
85% match
€130.0M
#6
M
Morgan Gibbs-White
Nottingham Forest · Premier League
England26yContract 2027
KP/901.41
G/900.40
Creator
Last 5: ↓ Dip
85% match
€65.0M
#7
M
Mikkel Damsgaard
Brentford · Premier League
Denmark25yContract 2030
KP/901.74
G/900.18
CreatorCreative
Last 5: → Stable
84% match
€30.0M
#8
J
Julian Brandt
Borussia Dortmund · Bundesliga
Germany30yContract 2026
KP/901.93
G/900.36
CreatorCreative
Last 5: → Stable
85% match
€20.0M
#9
B
Brenden Aaronson
Leeds United · Premier League
United States25yContract 2027
KP/901.24
G/900.15
Creator
Last 5: → Stable
84% match
€15.0M
#10
C
Cristian Volpato
Sassuolo · Serie A
Italy22yContract 2028
KP/901.88
G/900.00
CreatorCreative
85% match
€10.0M
#11
X
Xavi Simons
Tottenham Hotspur · Premier League
Netherlands23yContract 2030
KP/901.79
G/900.10
CreatorCreative
Last 5: → Stable
85% match
€60.0M
#12
M
Mike Tresor
Burnley · Premier League
Belgium26yContract 2028
KP/902.87
G/900.22
CreatorCreative
84% match
€3.0M

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 Florian Wirtz.

Ask AI about Florian Wirtz

Frequently Asked Questions

Who are the best alternatives to Florian Wirtz?
The top alternatives to Florian Wirtz based on AI DNA playing style analysis include: Rayan Cherki, Martin Ødegaard, Dominik Szoboszlai, Justin Kluivert, Jamal Musiala. 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 Florian Wirtz in 2026?
Players with a similar profile to Florian Wirtz in 2026 include Rayan Cherki (€50.0M), Martin Ødegaard (€65.0M), Dominik Szoboszlai (€100.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Florian Wirtz play and who plays similarly?
Florian Wirtz plays as a Midfielder. Players with a comparable positional profile include Rayan Cherki (France, €50.0M); Martin Ødegaard (Norway, €65.0M); Dominik Szoboszlai (Hungary, €100.0M); Justin Kluivert (Netherlands, €32.0M).
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.