RisingTransfers
AI DNA Similarity

Best Alternatives to Filippo Costa

Players most similar to Filippo Costa (Midfielder, €1.4M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Filippo Costa

  1. 1.Samú Costa88% DNA match·Mallorca€15.0M
  2. 2.Filip Kostić86% DNA match·Juventus€3.5M
  3. 3.Jari Vandeputte85% DNA match·Cremonese€3.3M

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

RT

Intelligence Verdict

InterceptionsTop 12%
???Bottom 8%

A Box-to-Box....

See Full Verdict + Share Card →

Playing Style Analysis

Box-to-BoxCreative

A Box-to-Box. Statistically, he stands out as an elite creator (1.6 key passes/90), a reliable supplier (0.16 assists/90) and wins the physical battle (57% duel success). The three most similar players to Filippo Costa by playing style are:

  • Samú Costa(88% match)A Ball-Winner. Statistically, he stands out as naturally left-footed, a regular goalscorer (0.26 goals/90), active in the tackle (2.2 tackles/90), heavily involved in play (60 touches/90), draws fouls effectively (2.4/90) and active off the ball (2.3 press score/90), contributing to defensive transitions.
  • Filip Kostić(86% match)A Creator. Statistically, he stands out as naturally left-footed, an elite creator (1.9 key passes/90), a proven goalscorer (0.59 goals/90), a reliable supplier (0.20 assists/90), an aggressive ball-winner (3.3 tackles/90), wins the physical battle (58% duel success), wins the ball cleanly (1.9 successful tackles/90), central to possession (77 touches/90), active off the ball (3.0 press score/90), contributing to defensive transitions, top 10% creator in the league and top 10% tackler in the league. Note: this profile is based on 461 minutes of playing time this season.
  • Jari Vandeputte(85% match)A Creator. Statistically, he stands out as an elite creator (3.0 key passes/90), a prolific assist provider (0.29 assists/90), creates high-quality scoring opportunities (0.68 big chances/90), penetrates with forward passing (9.7 final-third passes/90), heavily involved in play (70 touches/90), uses long balls frequently (6.1/90), active off the ball (2.5 press score/90), contributing to defensive transitions and top 10% creator in the league.

Transfer Intelligence

Samú Costa delivers 88% of the same playing style, at a 934% premium over Filippo Costa, with 0.42 key passes per 90 at age 25.

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

F
Comparison Base
Filippo Costa
MidfielderItaly€1.4M
Full profile →

Similar Players — Ranked by DNA Similarity

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 Filippo Costa.

Ask AI about Filippo Costa

Frequently Asked Questions

Who are the best alternatives to Filippo Costa?
The top alternatives to Filippo Costa based on AI DNA playing style analysis include: Samú Costa, Filip Kostić, Jari Vandeputte, Patrizio Masini, Amir Richardson. 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 Filippo Costa in 2026?
Players with a similar profile to Filippo Costa in 2026 include Samú Costa (€15.0M), Filip Kostić (€3.5M), Jari Vandeputte (€3.3M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Filippo Costa play and who plays similarly?
Filippo Costa plays as a Midfielder. Players with a comparable positional profile include Samú Costa (Portugal, €15.0M); Filip Kostić (Serbia, €3.5M); Jari Vandeputte (Belgium, €3.3M); Patrizio Masini (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.