⬡ AI DNA · Live season

Fluminense· 2026 · Serie A · PARTIAL

Best Alternatives to Facundo Bernal

Defensive MidfieldUruguay22y€6.0MFull profile →

Ball-WinnerDefensiveSmall Sample

0.24KP/90

0.00G/90

0.00A/90

Based on 551 min · 2026 · Serie A · PARTIAL

Ranked by AI DNA similarity — playing style, pressing, and tactical fit. Below: the closest replacements with per-90 stats and form.

DNA matchPrioritizes Serie A & top-tier peers

Top 3 alternatives to Facundo Bernal

Ardon Jashari96% match
AC Milan · Serie A · €30.0M
Nicolò Rovella 96% match
Lazio · Serie A · €23.0M
Geoffrey Kondogbia98% match
Olympique Marseille · Ligue 1 · €8.0M

Ranked by RT Player DNA + league/value credibility. Scroll for full list, per-90 stats, and share cards.

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Playing Style Analysis

Ball-WinnerDefensiveSmall Sample

A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (2.8 tackles/90), meticulous in distribution (88% pass accuracy), wins the physical battle (56% duel success), heavily involved in play (69 touches/90), switches play with precision (6.4 long balls/90, 64% accuracy), active off the ball (2.2 press score/90), contributing to defensive transitions and top 10% tackler in the league. Note: this profile is based on 551 minutes of playing time this season. The three closest DNA matches to Facundo Bernal:

Ardon Jashari(96% match) — A Metronome. Statistically, he stands out as a capable chance creator (1.2 key passes/90), active in the tackle (1.8 tackles/90), meticulous in distribution (91% pass accuracy), central to possession (71 touches/90) and active off the ball (2.6 press score/90), contributing to defensive transitions.
Nicolò Rovella (96% match) — A Metronome. Statistically, he stands out as an elite creator (2.3 key passes/90), a reliable supplier (0.18 assists/90), active in the tackle (1.9 tackles/90), reads the game exceptionally (1.8 interceptions/90), meticulous in distribution (93% pass accuracy), wins the physical battle (63% duel success), heavily involved in possession (86 passes/90), penetrates with forward passing (12.3 final-third passes/90), central to possession (103 touches/90), draws fouls effectively (2.3/90), a high-intensity presser (press score 3.7/90), constantly disrupting opposition build-up and top 10% creator in the league.
Geoffrey Kondogbia(98% match) — A Metronome. Statistically, he stands out as naturally left-footed, active in the tackle (2.1 tackles/90), reads the game exceptionally (1.5 interceptions/90), meticulous in distribution (87% pass accuracy), wins the physical battle (62% duel success), heavily involved in possession (65 passes/90), penetrates with forward passing (8.6 final-third passes/90), central to possession (80 touches/90) and a high-intensity presser (press score 3.9/90), constantly disrupting opposition build-up.

Similarity uses per-90 performance across playing-style dimensions. How Player DNA matching works →

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Similar Players — Ranked by DNA Similarity

Ardon Jashari

AC Milan · Serie A

Switzerland23yContract 2030

KP/901.16

G/900.00

MetronomeSmall SampleIn form ↑

vs Bernal: €24M more expensive

96% match

€30.0M

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Frequently Asked Questions

Who are the best alternatives to Facundo Bernal?▼

The top alternatives to Facundo Bernal based on AI DNA playing style analysis include: Ardon Jashari, Nicolò Rovella , Geoffrey Kondogbia, Teun Koopmeiners, Youssouf Fofana. 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 Facundo Bernal in 2026?▼

Players with a similar profile to Facundo Bernal in 2026 include Ardon Jashari (€30.0M), Nicolò Rovella (€23.0M), Geoffrey Kondogbia (€8.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.

What position does Facundo Bernal play and who plays similarly?▼

Facundo Bernal plays as a Midfielder. Players with a comparable positional profile include Ardon Jashari (Switzerland, €30.0M); Nicolò Rovella (Italy, €23.0M); Geoffrey Kondogbia (Central African Republic, €8.0M); Teun Koopmeiners (Netherlands, €28.0M).

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.

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