RisingTransfers
AI DNA Similarity

Best Alternatives to Gilberto

Players most similar to Gilberto (Defender, €2.5M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Gilberto

  1. 1.Mario Gila85% DNA match·Lazio€30.0M
  2. 2.Tiago Gabriel85% DNA match·Lecce€15.0M
  3. 3.Carlos Augusto85% DNA match·Inter€26.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 0%

Gilberto is a high-volume ball distributor masquerading as a Tier C defender...

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Playing Style Analysis

Active Full-Back

Gilberto is a high-volume ball distributor masquerading as a Tier C defender, operating more like a deep-lying metronome than a traditional stopper. While his team struggles, his individual metrics suggest a player ready for a massive step up; he sits in the top 10% of Serie A for passes per 90 and the top 20% for progressive balls into the final third. The counterintuitive reality of his profile is that despite a lowly interception rate in the bottom 10%, his defensive impact is felt through sheer aggression rather than anticipation, evidenced by a relentless pressing intensity that ranks in the league’s top 5%. The three most similar players to Gilberto by playing style are:

  • Mario Gila(85% match)A Ball-Playing CB. Statistically, he stands out as active in the tackle (2.1 tackles/90), commanding in the air (4.8 clearances/90), meticulous in distribution (91% pass accuracy), wins the physical battle (71% duel success), heavily involved in possession (64 passes/90), central to possession (78 touches/90), switches play with precision (6.6 long balls/90, 69% accuracy) and active off the ball (2.8 press score/90), contributing to defensive transitions.
  • Tiago Gabriel(85% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (6.7 clearances/90), meticulous in distribution (87% pass accuracy), wins the physical battle (64% duel success) and dominant in the air (3.3 aerials won/90, 61%).
  • Carlos Augusto(85% match)A Active Full-Back. Statistically, he stands out as naturally left-footed, active in the tackle (2.5 tackles/90), meticulous in distribution (88% pass accuracy), wins the physical battle (65% duel success), central to possession (77 touches/90), dominant in the air (4.0 aerials won/90, 76%) and top 10% tackler in the league. Note: this profile is based on 653 minutes of playing time this season.

Transfer Intelligence

Mario Gila delivers 85% of the same playing style, at a 1100% premium over Gilberto, with 2.10 tackles won per 90 at age 25.

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

G
Comparison Base
Gilberto
DefenderBrazil€2.5M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
M
Mario Gila
Lazio · Serie A
Spain25yContract 2027
Tkl/902.10
KP/900.18
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
vs Gilberto: €28M more expensive · 8y younger
85% match
€30.0M
#2
T
Tiago Gabriel
Lecce · Serie A
Portugal21yContract 2027
Tkl/901.37
KP/900.05
Ball-Playing CBAerial
Last 5: ↓ Dip
vs Gilberto: €13M more expensive · 12y younger
85% match
€15.0M
#3
C
Carlos Augusto
Inter · Serie A
Brazil27yContract 2028
Tkl/902.48
KP/900.83
Active Full-BackBall-Playing
Last 5: ↓ Dip
vs Gilberto: €24M more expensive · 6y younger
85% match
€26.0M
#4
N
Nicolò Bertola
Udinese · Serie A
Italy23yContract 2030
Tkl/901.78
KP/900.49
Solid DefenderAerial
85% match
€6.0M
#5
F
Fali Candé
Sassuolo · Serie A
Portugal28yContract 2029
Tkl/901.60
KP/900.18
Solid DefenderAerial
85% match
€3.0M
#6
M
Mariano Troilo
Parma · Serie A
Argentina22yContract 2030
Tkl/902.16
KP/900.33
Ball-Playing CBAerial
85% match
€6.0M
#7
S
Sascha Britschgi
Parma · Serie A
Switzerland19yContract 2030
Tkl/901.38
KP/900.86
Active Full-Back
84% match
€7.0M
#8
P
Pedro Lima
Wolverhampton Wanderers · Premier League
Brazil19yContract 2029
Tkl/902.49
KP/901.07
Small Sample
Last 5: → Stable
85% match
€4.0M
#9
M
Marco Palestra
Cagliari · Serie A
Italy21yContract 2026
Tkl/901.70
KP/900.82
Active Full-Back
Last 5: → Stable
84% match
€25.0M
#10
J
Jamil Siebert
Lecce · Serie A
Germany24yContract 2028
Tkl/901.63
KP/900.25
Physical StopperAerial
Last 5: ↓ Dip
85% match
€4.5M
#11
O
Odilon Kossounou
Atalanta · Serie A
Ivory Coast25yContract 2029
Tkl/901.33
KP/900.11
Ball-Playing CBBall-Playing
Last 5: → Stable
84% match
€22.0M
#12
A
Antonino Gallo
Lecce · Serie A
Italy26yContract 2026
Tkl/902.17
KP/900.82
Active Full-Back
Last 5: ↓ Dip
84% match
€4.0M

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 Gilberto.

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Frequently Asked Questions

Who are the best alternatives to Gilberto?
The top alternatives to Gilberto based on AI DNA playing style analysis include: Mario Gila, Tiago Gabriel, Carlos Augusto, Nicolò Bertola, Fali Candé. 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 Gilberto in 2026?
Players with a similar profile to Gilberto in 2026 include Mario Gila (€30.0M), Tiago Gabriel (€15.0M), Carlos Augusto (€26.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Gilberto play and who plays similarly?
Gilberto plays as a Defender. Players with a comparable positional profile include Mario Gila (Spain, €30.0M); Tiago Gabriel (Portugal, €15.0M); Carlos Augusto (Brazil, €26.0M); Nicolò Bertola (Italy, €6.0M).
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.