RisingTransfers
AI DNA Similarity

Best Alternatives to David Da Costa

Players most similar to David Da Costa (Midfielder, €5.7M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to David Da Costa

  1. 1.Lucas Da Cunha 85% DNA match·Como€15.0M
  2. 2.Diego Rodrigues85% DNA match·Sporting Braga€4.5M
  3. 3.Johnny Cardoso85% DNA match·Atlético Madrid€22.0M

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

RT

Intelligence Verdict

???Bottom 0%

Da Costa is the kind of midfielder who makes a B-tier MLS side look more dangerous than they have...

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Playing Style Analysis

Attacking MidfieldCreatorCreative

Da Costa is the kind of midfielder who makes a B-tier MLS side look more dangerous than they have any right to be. His key pass rate of 2.03 per 90 and assist numbers both land in the top 20% of MLS midfielders—not just productive, but consistently so across nearly 2,800 minutes, which filters out the noise. Here's the counterintuitive part: his 86.8% pass accuracy might read as conservative, but paired with his top-20% dribble rate, this is a player taking risks and still completing them. The three most similar players to David Da Costa by playing style are:

  • Lucas Da Cunha (85% match)A Metronome. Statistically, he stands out as naturally left-footed, a capable chance creator (1.5 key passes/90), active in the tackle (1.9 tackles/90), meticulous in distribution (90% pass accuracy), heavily involved in possession (65 passes/90), central to possession (79 touches/90) and active off the ball (2.8 press score/90), contributing to defensive transitions.
  • Diego Rodrigues(85% match)A Box-to-Box. Statistically, he stands out as an elite creator (2.0 key passes/90), a reliable supplier (0.21 assists/90), active in the tackle (2.0 tackles/90), meticulous in distribution (90% pass accuracy), central to possession (70 touches/90), active off the ball (2.3 press score/90), contributing to defensive transitions and top 10% creator in the league. Note: this profile is based on 848 minutes of playing time this season.
  • Johnny Cardoso(85% match)A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (4.0 tackles/90), reads the game exceptionally (1.5 interceptions/90), meticulous in distribution (88% pass accuracy), wins the ball cleanly (1.9 successful tackles/90), heavily involved in play (69 touches/90), active off the ball (2.7 press score/90), contributing to defensive transitions and top 10% tackler in the league. However, he loses possession under pressure (1.6 dispossessed/90).

Transfer Intelligence

Lucas Da Cunha  delivers 85% of the same playing style, at a 163% premium over David Da Costa, with 1.51 key passes per 90 at age 24.

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

D
Comparison Base
David Da Costa
MidfielderPortugal€5.7M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
L
Lucas Da Cunha 
Como · Serie A
France24yContract 2029
KP/901.51
G/900.11
Metronome
Last 5: ↓ Dip
vs Costa: €9M more expensive
85% match
€15.0M
#2
D
Diego Rodrigues
Sporting Braga · Liga Portugal
Portugal20yContract 2027
KP/902.02
G/900.11
Box-to-BoxCreative
Last 5: → Stable
vs Costa: 5y younger
85% match
€4.5M
#3
J
Johnny Cardoso
Atlético Madrid · La Liga
Brazil24yContract 2030
KP/900.28
G/900.00
Ball-WinnerDefensive
Last 5: ↓ Dip
vs Costa: €16M more expensive
85% match
€22.0M
#4
Y
Yan Couto
Borussia Dortmund · Bundesliga
Brazil23yContract 2030
KP/901.08
G/900.22
Box-to-BoxCreative
84% match
€20.0M
#5
D
Diego Moreira
Strasbourg · Ligue 1
Portugal21yContract 2029
KP/901.58
G/900.00
Box-to-BoxCreative
Last 5: → Stable
83% match
€18.0M
#6
A
Antoni Milambo
Brentford · Premier League
Netherlands21yContract 2030
KP/901.22
G/900.14
Creator
83% match
€20.0M
#7
S
Samú Costa
Mallorca · La Liga
Portugal25yContract 2028
KP/900.42
G/900.27
Ball-Winner
Last 5: ↓ Dip
83% match
€15.0M
#8
R
Romano Schmid
Werder Bremen · Bundesliga
Austria26yContract 2025
KP/902.69
G/900.08
CreatorCreative
82% match
€17.0M
#9
F
Fábio Vieira
Hamburger SV · Bundesliga
Portugal25yContract 2026
KP/901.32
G/900.17
CreatorCreative
83% match
€18.0M
#10
D
Diogo Gonçalves
Konyaspor · Super Lig
Portugal29yContract 2026
G/900.81
A/900.00
Left WingCreator
Last 5: → Stable
82% match
€3.0M
#11
A
Amir Richardson
FC København · Serie A
France24yContract 2026
KP/900.65
G/900.09
Box-to-BoxDefensive
Last 5: ↓ Dip
82% match
€9.0M
#12
R
Rodrigo Mora
Porto · Liga Portugal
Portugal19yContract 2030
KP/902.72
G/900.08
CreatorCreative
Last 5: → Stable
83% match
€38.0M

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 David Da Costa.

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Frequently Asked Questions

Who are the best alternatives to David Da Costa?
The top alternatives to David Da Costa based on AI DNA playing style analysis include: Lucas Da Cunha , Diego Rodrigues, Johnny Cardoso, Yan Couto, Diego Moreira. 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 David Da Costa in 2026?
Players with a similar profile to David Da Costa in 2026 include Lucas Da Cunha  (€15.0M), Diego Rodrigues (€4.5M), Johnny Cardoso (€22.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does David Da Costa play and who plays similarly?
David Da Costa plays as a Midfielder. Players with a comparable positional profile include Lucas Da Cunha  (France, €15.0M); Diego Rodrigues (Portugal, €4.5M); Johnny Cardoso (Brazil, €22.0M); Yan Couto (Brazil, €20.0M).
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.