RisingTransfers
AI DNA Similarity

Best Alternatives to Mario Gila

Players most similar to Mario Gila (Defender, €30.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Mario Gila

  1. 1.Alessio Romagnoli87% DNA match·Lazio€7.0M
  2. 2.Odilon Kossounou85% DNA match·Atalanta€22.0M
  3. 3.Daniele Ghilardi85% DNA match·Roma€8.0M

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

RT

Intelligence Verdict

Press IntensityTop 6%
???Bottom 13%

A Ball-Playing CB....

See Full Verdict + Share Card →

Playing Style Analysis

Ball-Playing CBBall-PlayingAerial

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. The three most similar players to Mario Gila by playing style are:

  • Alessio Romagnoli(87% match)A Ball-Playing CB. Statistically, he stands out as naturally left-footed, commanding in the air (4.8 clearances/90), meticulous in distribution (92% pass accuracy), wins the physical battle (57% duel success), heavily involved in possession (66 passes/90) and central to possession (76 touches/90).
  • Odilon Kossounou(85% match)Kossounou has carved out a rare niche in Serie A's defensive landscape: a centre-back who builds play with the precision of a deep-lying midfielder while quietly contributing to the scoresheet. His 92.7% pass accuracy places him in the top 5% of defenders in the division—not just neat sideways passes, but 5.27 progressive balls into the final third per 90, suggesting genuine intent to break lines. His goal contribution rate sits in the top 20%, a counterintuitive figure that reveals an underrated offensive threat from set-pieces that opponents routinely underestimate.
  • Daniele Ghilardi(85% match)A Ball-Playing CB. Statistically, he stands out as an aggressive ball-winner (2.5 tackles/90), commanding in the air (4.1 clearances/90), meticulous in distribution (86% pass accuracy), wins the physical battle (59% duel success), penetrates with forward passing (8.3 final-third passes/90), uses long balls frequently (6.1/90), active off the ball (2.6 press score/90), contributing to defensive transitions and top 10% tackler in the league. Note: this profile is based on 782 minutes of playing time this season.

Transfer Intelligence

Alessio Romagnoli delivers 87% of the same playing style, at 77% lower cost (€7.0M vs €30.0M), with 0.77 tackles won per 90 at age 31.

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

M
Comparison Base
Mario Gila
DefenderSpain€30.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
A
Alessio Romagnoli
Lazio · Serie A
Italy31yContract 2027
Tkl/900.77
KP/900.18
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Gila: €23M cheaper · 6y older
87% match
€7.0M
#2
O
Odilon Kossounou
Atalanta · Serie A
Ivory Coast25yContract 2029
Tkl/901.33
KP/900.11
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Gila: €8M cheaper
85% match
€22.0M
#3
D
Daniele Ghilardi
Roma · Serie A
Italy23yContract 2026
Tkl/902.53
KP/900.34
Ball-Playing CBAerial
Last 5: ↑ Hot
vs Gila: €22M cheaper · 2y younger
85% match
€8.0M
#4
E
Evan Ndicka
Roma · Serie A
France26yContract 2028
Tkl/900.85
KP/900.18
Ball-Playing CBBall-Playing
Last 5: → Stable
84% match
€30.0M
#5
J
Jacobo Ramón
Como · Serie A
Spain21yContract 2030
Tkl/901.95
KP/900.43
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
84% match
€18.0M
#6
G
Gianluca Mancini
Roma · Serie A
Italy30yContract 2027
Tkl/901.75
KP/900.78
Ball-Playing CB
Last 5: ↓ Dip
84% match
€15.0M
#7
T
Tiago Gabriel
Lecce · Serie A
Portugal21yContract 2027
Tkl/901.37
KP/900.05
Ball-Playing CBAerial
Last 5: ↓ Dip
83% match
€15.0M
#8
M
Matteo Gabbia
AC Milan · Serie A
Italy26yContract 2029
Tkl/901.27
KP/900.00
Ball-Playing CBAerial
84% match
€20.0M
#9
B
Berat Djimsiti
Atalanta · Serie A
Albania33yContract 2026
Tkl/901.93
KP/900.19
Ball-Playing CBBall-Playing
Last 5: → Stable
83% match
€5.0M
#10
A
Ardian Ismajli
Torino · Serie A
Albania29yContract 2027
Tkl/902.25
KP/900.38
Physical StopperAerial
84% match
€6.0M
#11
A
Amir Rrahmani 
Napoli · Serie A
Kosovo32yContract 2027
Tkl/901.14
KP/900.07
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
84% match
€12.0M
#12
I
Isak Hien
Atalanta · Serie A
Sweden27yContract 2028
Tkl/902.44
KP/900.23
Ball-Playing CBAerial
Last 5: → Stable
83% match
€22.0M

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 Mario Gila.

Ask AI about Mario Gila

Frequently Asked Questions

Who are the best alternatives to Mario Gila?
The top alternatives to Mario Gila based on AI DNA playing style analysis include: Alessio Romagnoli, Odilon Kossounou, Daniele Ghilardi, Evan Ndicka, Jacobo Ramón. 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 Mario Gila in 2026?
Players with a similar profile to Mario Gila in 2026 include Alessio Romagnoli (€7.0M), Odilon Kossounou (€22.0M), Daniele Ghilardi (€8.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Mario Gila play and who plays similarly?
Mario Gila plays as a Defender. Players with a comparable positional profile include Alessio Romagnoli (Italy, €7.0M); Odilon Kossounou (Ivory Coast, €22.0M); Daniele Ghilardi (Italy, €8.0M); Evan Ndicka (France, €30.0M).
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.