RisingTransfers
AI DNA Similarity

Best Alternatives to Giovanni Reyna

Players most similar to Giovanni Reyna (Midfielder, €6.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Giovanni Reyna

  1. 1.Malik Tillman87% DNA match·Bayer 04 Leverkusen€35.0M
  2. 2.Jamal Musiala85% DNA match·FC Bayern München€130.0M
  3. 3.Weston McKennie85% DNA match·Juventus€22.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 0%

A Creator....

See Full Verdict + Share Card →

Playing Style Analysis

CreatorSmall Sample

A Creator. Statistically, he stands out as a capable chance creator (1.4 key passes/90), active in the tackle (2.0 tackles/90), central to possession (73 touches/90) and active off the ball (2.6 press score/90), contributing to defensive transitions. However, he loses possession under pressure (2.0 dispossessed/90). The three most similar players to Giovanni Reyna by playing style are:

  • Malik Tillman(87% match)A Creator. Statistically, he stands out as a capable chance creator (1.4 key passes/90), a regular goalscorer (0.20 goals/90), an aggressive ball-winner (2.7 tackles/90), wins the ball cleanly (2.0 successful tackles/90), heavily involved in play (55 touches/90) and active off the ball (2.2 press score/90), contributing to defensive transitions. However, he loses possession under pressure (1.8 dispossessed/90).
  • Jamal Musiala(85% match)A Creator. Statistically, he stands out as an elite creator (2.0 key passes/90), a constant goal threat (3.4 shots/90), a proven goalscorer (0.60 goals/90), a dynamic dribbler (3.3/90), active in the tackle (1.8 tackles/90), creates high-quality scoring opportunities (0.90 big chances/90), central to possession (71 touches/90), draws fouls effectively (2.7/90) and top 20% creator in the league. However, he loses possession under pressure (1.6 dispossessed/90).
  • Weston McKennie(85% match)McKennie is the American who made Serie A believers out of skeptics—a box-to-box engine who wins aerial duels at a rate that puts him in the top 10% of Italian midfielders, a remarkable feat for someone operating in one of Europe's most physically demanding leagues. His 1.44 key passes per 90 and consistent presence in the final third suggest a midfielder who genuinely influences the game's decisive moments, not just its connective tissue. The counterintuitive truth, though, is that his passing accuracy sits at dead average—which for a player asked to carry and progress the ball in tight spaces, is a quiet limitation that compounds under pressure.

Transfer Intelligence

Malik Tillman delivers 87% of the same playing style, at a 483% premium over Giovanni Reyna, with 0.84 key passes per 90 at age 23.

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

G
Comparison Base
Giovanni Reyna
MidfielderUnited States€6.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
M
Malik Tillman
Bayer 04 Leverkusen · Bundesliga
United States23yContract 2030
KP/900.84
G/900.34
CreatorDefensive
Last 5: ↑ Hot
vs Reyna: €29M more expensive
87% match
€35.0M
#2
J
Jamal Musiala
FC Bayern München · Bundesliga
Germany23yContract 2030
KP/902.21
G/900.66
CreatorCreative
Last 5: → Stable
vs Reyna: €124M more expensive
85% match
€130.0M
#3
W
Weston McKennie
Juventus · Serie A
United States27yContract 2026
KP/901.59
G/900.28
Creator
Last 5: → Stable
vs Reyna: €16M more expensive · 4y older
85% match
€22.0M
#4
B
Brenden Aaronson
Leeds United · Premier League
United States25yContract 2027
KP/901.24
G/900.15
Creator
Last 5: → Stable
84% match
€15.0M
#5
J
Jude Bellingham
Real Madrid · La Liga
England22yContract 2029
KP/901.67
G/900.20
CreatorCreative
Last 5: ↓ Dip
84% match
€140.0M
#6
R
Romano Schmid
Werder Bremen · Bundesliga
Austria26yContract 2025
KP/902.69
G/900.08
CreatorCreative
84% match
€17.0M
#7
K
Kevin Paredes
VfL Wolfsburg · Bundesliga
United States23yContract 2026
KP/901.02
G/900.19
Ball-WinnerDefensive
84% match
€3.0M
#8
F
Florian Wirtz
Liverpool · Premier League
Germany23yContract 2030
KP/902.34
G/900.19
CreatorCreative
Last 5: → Stable
83% match
€110.0M
#9
F
Fabian Rieder
FC Augsburg · Bundesliga
Switzerland24yContract 2030
KP/901.14
G/900.13
CreatorSmall Sample
Last 5: → Stable
84% match
€8.0M
#10
J
Jobe Bellingham
Borussia Dortmund · Bundesliga
England20yContract 2030
KP/900.28
G/900.00
Box-to-Box
Last 5: ↓ Dip
84% match
€25.0M
#11
F
Fábio Vieira
Hamburger SV · Bundesliga
Portugal25yContract 2026
KP/901.32
G/900.17
CreatorCreative
84% match
€18.0M
#12
J
Julian Brandt
Borussia Dortmund · Bundesliga
Germany30yContract 2026
KP/901.93
G/900.36
CreatorCreative
Last 5: → Stable
83% match
€20.0M

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 Giovanni Reyna.

Ask AI about Giovanni Reyna

Frequently Asked Questions

Who are the best alternatives to Giovanni Reyna?
The top alternatives to Giovanni Reyna based on AI DNA playing style analysis include: Malik Tillman, Jamal Musiala, Weston McKennie, Brenden Aaronson, Jude Bellingham. 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 Giovanni Reyna in 2026?
Players with a similar profile to Giovanni Reyna in 2026 include Malik Tillman (€35.0M), Jamal Musiala (€130.0M), Weston McKennie (€22.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Giovanni Reyna play and who plays similarly?
Giovanni Reyna plays as a Midfielder. Players with a comparable positional profile include Malik Tillman (United States, €35.0M); Jamal Musiala (Germany, €130.0M); Weston McKennie (United States, €22.0M); Brenden Aaronson (United States, €15.0M).
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.