RisingTransfers
AI DNA Similarity

Best Alternatives to Malik Tillman

Players most similar to Malik Tillman (Midfielder, €35.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Malik Tillman

  1. 1.Kevin Paredes86% DNA match·VfL Wolfsburg€3.0M
  2. 2.Weston McKennie86% DNA match·Juventus€22.0M
  3. 3.Giovanni Reyna87% DNA match·Borussia Mönchengladbach€6.0M

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

RT

Intelligence Verdict

Big ChancesTop 9%
???Bottom 0%

A Creator....

See Full Verdict + Share Card →

Playing Style Analysis

CreatorDefensiveSmall Sample

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). The three most similar players to Malik Tillman by playing style are:

  • Kevin Paredes(86% match)A Ball-Winner. Statistically, he stands out as naturally left-footed, a capable chance creator (1.1 key passes/90), an aggressive ball-winner (2.6 tackles/90), reads the game exceptionally (1.5 interceptions/90), wins the physical battle (63% duel success) and top 10% tackler in the league.
  • Weston McKennie(86% 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.
  • Giovanni Reyna(87% match)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).

Transfer Intelligence

Kevin Paredes delivers 86% of the same playing style, at 91% lower cost (€3.0M vs €35.0M), with 1.02 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 →

M
Comparison Base
Malik Tillman
MidfielderUnited States€35.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
K
Kevin Paredes
VfL Wolfsburg · Bundesliga
United States23yContract 2026
KP/901.02
G/900.19
Ball-WinnerDefensive
vs Tillman: €32M cheaper
86% match
€3.0M
#2
W
Weston McKennie
Juventus · Serie A
United States27yContract 2026
KP/901.59
G/900.28
Creator
Last 5: → Stable
vs Tillman: €13M cheaper · 4y older
86% match
€22.0M
#3
G
Giovanni Reyna
Borussia Mönchengladbach · Bundesliga
United States23yContract 2028
KP/902.84
G/900.41
CreatorSmall Sample
Last 5: ↑ Hot
vs Tillman: €29M cheaper
87% match
€6.0M
#4
R
Romano Schmid
Werder Bremen · Bundesliga
Austria26yContract 2025
KP/902.69
G/900.08
CreatorCreative
85% match
€17.0M
#5
C
Carney Chukwuemeka
Borussia Dortmund · Bundesliga
England22yContract 2030
KP/901.24
G/900.31
Box-to-BoxSmall Sample
85% match
€20.0M
#6
J
Jude Bellingham
Real Madrid · La Liga
England22yContract 2029
KP/901.67
G/900.20
CreatorCreative
Last 5: ↓ Dip
84% match
€140.0M
#7
G
Guus Til
PSV · Eredivisie
Netherlands28yContract 2028
KP/901.78
G/900.54
CreatorCreative
Last 5: → Stable
84% match
€15.0M
#8
A
Aljoscha Kemlein
FC Union Berlin · Bundesliga
Germany21y
KP/901.02
G/900.00
Box-to-Box
85% match
€9.0M
#9
F
Fabian Rieder
FC Augsburg · Bundesliga
Switzerland24yContract 2030
KP/901.14
G/900.13
CreatorSmall Sample
Last 5: → Stable
85% match
€8.0M
#10
E
Ezequiel Fernández
Bayer 04 Leverkusen · Bundesliga
Argentina23yContract 2030
KP/901.03
G/900.00
Ball-WinnerDefensive
Last 5: ↓ Dip
84% match
€25.0M
#11
A
Assan Ouédraogo
RB Leipzig · Bundesliga
Germany20yContract 2029
KP/901.29
G/900.26
CreatorSmall Sample
84% match
€28.0M
#12
Y
Yan Couto
Borussia Dortmund · Bundesliga
Brazil23yContract 2030
KP/901.08
G/900.22
Box-to-BoxCreative
84% 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 Malik Tillman.

Ask AI about Malik Tillman

Frequently Asked Questions

Who are the best alternatives to Malik Tillman?
The top alternatives to Malik Tillman based on AI DNA playing style analysis include: Kevin Paredes, Weston McKennie, Giovanni Reyna, Romano Schmid, Carney Chukwuemeka. 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 Malik Tillman in 2026?
Players with a similar profile to Malik Tillman in 2026 include Kevin Paredes (€3.0M), Weston McKennie (€22.0M), Giovanni Reyna (€6.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Malik Tillman play and who plays similarly?
Malik Tillman plays as a Midfielder. Players with a comparable positional profile include Kevin Paredes (United States, €3.0M); Weston McKennie (United States, €22.0M); Giovanni Reyna (United States, €6.0M); Romano Schmid (Austria, €17.0M).
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.