RisingTransfers
AI DNA Similarity

Best Alternatives to Malo Gusto

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

Top 3 Alternatives to Malo Gusto

  1. 1.Ian Maatsen87% DNA match·Aston Villa€25.0M
  2. 2.Levi Colwill86% DNA match·Chelsea€50.0M
  3. 3.Benoît Badiashile87% DNA match·Chelsea€18.0M

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

RT

Intelligence Verdict

Press IntensityTop 6%
???Bottom 22%

A Active Full-Back....

See Full Verdict + Share Card →

Playing Style Analysis

Active Full-Back

A Active Full-Back. Statistically, he stands out as a capable chance creator (1.1 key passes/90), active in the tackle (2.1 tackles/90), meticulous in distribution (87% pass accuracy), wins the physical battle (55% duel success), central to possession (72 touches/90) and active off the ball (2.6 press score/90), contributing to defensive transitions. The three most similar players to Malo Gusto by playing style are:

  • Ian Maatsen(87% match)A Active Full-Back. Statistically, he stands out as naturally left-footed, a capable chance creator (1.4 key passes/90), active in the tackle (2.3 tackles/90), meticulous in distribution (86% pass accuracy), central to possession (72 touches/90) and active off the ball (2.6 press score/90), contributing to defensive transitions.
  • Levi Colwill(86% match)A Ball-Playing CB. Statistically, he stands out as naturally left-footed, meticulous in distribution (90% pass accuracy), wins the physical battle (56% duel success), heavily involved in possession (74 passes/90), central to possession (85 touches/90) and uses long balls frequently (5.8/90).
  • Benoît Badiashile(87% match)A Ball-Playing CB. Statistically, he stands out as naturally left-footed, commanding in the air (5.2 clearances/90), reads the game exceptionally (2.1 interceptions/90), meticulous in distribution (93% pass accuracy), heavily involved in possession (84 passes/90), central to possession (95 touches/90), uses long balls frequently (6.5/90) and active off the ball (2.1 press score/90), contributing to defensive transitions. Note: this profile is based on 472 minutes of playing time this season.

Transfer Intelligence

Ian Maatsen delivers 87% of the same playing style, at 29% lower cost (€25.0M vs €35.0M), with 2.33 tackles won per 90 at age 24.

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

M
Comparison Base
Malo Gusto
DefenderFrance€35.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
I
Ian Maatsen
Aston Villa · Premier League
Netherlands24yContract 2030
Tkl/902.33
KP/901.44
Active Full-Back
Last 5: ↓ Dip
vs Gusto: €10M cheaper · 2y older
87% match
€25.0M
#2
L
Levi Colwill
Chelsea · Premier League
England23yContract 2029
Tkl/901.41
KP/900.41
Ball-Playing CBBall-Playing
vs Gusto: €15M more expensive
86% match
€50.0M
#3
B
Benoît Badiashile
Chelsea · Premier League
France25yContract 2030
Tkl/901.33
KP/900.00
Ball-Playing CBBall-Playing
vs Gusto: €17M cheaper · 3y older
87% match
€18.0M
#4
P
Pedro Porro 
Tottenham Hotspur · Premier League
Spain26yContract 2028
Tkl/902.40
KP/901.68
Active Full-Back
Last 5: ↑ Hot
86% match
€40.0M
#5
T
Tino Livramento
Newcastle United · Premier League
England23yContract 2028
Tkl/901.49
KP/900.75
Active Full-Back
Last 5: ↑ Hot
86% match
€40.0M
#6
J
James Justin
Leeds United · Premier League
England28yContract 2029
Tkl/902.62
KP/900.63
Aerial
Last 5: ↑ Hot
86% match
€12.0M
#7
W
Wesley Fofana
Chelsea · Premier League
France25yContract 2029
Tkl/901.08
KP/900.17
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
86% match
€28.0M
#8
J
J. Timber
Arsenal · Premier League
Netherlands24yContract 2028
Tkl/902.42
KP/900.99
Active Full-Back
Last 5: → Stable
85% match
€70.0M
#9
H
Hugo Bueno
Wolverhampton Wanderers · Premier League
Spain23yContract 2028
Tkl/902.57
KP/901.46
Active Full-Back
Last 5: → Stable
85% match
€10.0M
#10
T
Trevoh Chalobah
Chelsea · Premier League
England26yContract 2028
Tkl/901.15
KP/900.16
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
84% match
€40.0M
#11
K
Kenny Tete
Fulham · Premier League
Netherlands30yContract 2028
Tkl/903.26
KP/900.55
Physical Stopper
Last 5: → Stable
84% match
€11.0M
#12
M
Marc Guéhi
Manchester City · Premier League
England25yContract 2026
Tkl/901.55
KP/900.45
Ball-Playing CBAerial
Last 5: → Stable
84% match
€65.0M

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 Malo Gusto.

Ask AI about Malo Gusto

Frequently Asked Questions

Who are the best alternatives to Malo Gusto?
The top alternatives to Malo Gusto based on AI DNA playing style analysis include: Ian Maatsen, Levi Colwill, Benoît Badiashile, Pedro Porro , Tino Livramento. 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 Malo Gusto in 2026?
Players with a similar profile to Malo Gusto in 2026 include Ian Maatsen (€25.0M), Levi Colwill (€50.0M), Benoît Badiashile (€18.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Malo Gusto play and who plays similarly?
Malo Gusto plays as a Defender. Players with a comparable positional profile include Ian Maatsen (Netherlands, €25.0M); Levi Colwill (England, €50.0M); Benoît Badiashile (France, €18.0M); Pedro Porro  (Spain, €40.0M).
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.