AI DNA Similarity
Best Alternatives to João Palhinha
Players most similar to João Palhinha (Midfielder, €25.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to João Palhinha
- 1.Mateus Fernandes87% DNA match·West Ham United€32.0M
- 2.João Gomes87% DNA match·Wolverhampton Wanderers€35.0M
- 3.Martín Zubimendi86% DNA match·Arsenal€80.0M
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
Chances MissedTop 0%
???Bottom 17%
“A Ball-Winner....”
See Full Verdict + Share Card →Playing Style Analysis
Ball-WinnerDefensive
A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (4.7 tackles/90), wins the physical battle (63% duel success), wins the ball cleanly (2.6 successful tackles/90), heavily involved in play (60 touches/90), active off the ball (2.5 press score/90), contributing to defensive transitions and top 10% tackler in the league. The three most similar players to João Palhinha by playing style are:
- Mateus Fernandes(87% match) — A Ball-Winner. Statistically, he stands out as a capable chance creator (1.1 key passes/90), an aggressive ball-winner (3.1 tackles/90), meticulous in distribution (87% pass accuracy), wins the physical battle (56% duel success), wins the ball cleanly (1.9 successful tackles/90), heavily involved in play (62 touches/90), switches play with precision (5.3 long balls/90, 64% accuracy) and a high-intensity presser (press score 3.0/90), constantly disrupting opposition build-up.
- João Gomes(87% match) — A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (3.5 tackles/90), meticulous in distribution (86% pass accuracy), wins the ball cleanly (2.2 successful tackles/90), heavily involved in play (65 touches/90), a high-intensity presser (press score 3.4/90), constantly disrupting opposition build-up and top 10% tackler in the league. However, he loses possession under pressure (1.7 dispossessed/90).
- Martín Zubimendi(86% match) — A Metronome. Statistically, he stands out as active in the tackle (2.1 tackles/90), meticulous in distribution (88% pass accuracy), wins the physical battle (60% duel success), heavily involved in play (69 touches/90) and active off the ball (2.1 press score/90), contributing to defensive transitions.
Transfer Intelligence
Mateus Fernandes delivers 87% of the same playing style, at a 28% premium over João Palhinha, with 1.07 key passes per 90 at age 21.
Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →
Similar Players — Ranked by DNA Similarity
#1
M
Mateus Fernandes
West Ham United · Premier League
Portugal21yContract 2030
KP/901.07
G/900.10
Ball-WinnerDefensive
Last 5: → Stablevs Palhinha: €7M more expensive · 9y younger
87% match
€32.0M
#2
J
João Gomes
Wolverhampton Wanderers · Premier League
Brazil25yContract 2030
KP/900.53
G/900.03
Ball-WinnerDefensive
Last 5: → Stablevs Palhinha: €10M more expensive · 5y younger
87% match
€35.0M
#3
M
Martín Zubimendi
Arsenal · Premier League
Spain27yContract 2030
KP/900.59
G/900.15
Metronome
Last 5: ↑ Hotvs Palhinha: €55M more expensive · 3y younger
86% match
€80.0M
#4
F
Florentino
Burnley · Premier League
Portugal26yContract 2026
KP/900.55
G/900.00
Ball-WinnerDefensive
Last 5: ↑ Hot86% match
€20.0M
#5
A
André
Wolverhampton Wanderers · Premier League
Brazil24yContract 2029
KP/900.63
G/900.04
Ball-WinnerDefensive
Last 5: ↑ Hot85% match
€22.0M
#6
B
Boubacar Kamara
Aston Villa · Premier League
France26yContract 2030
KP/900.95
G/900.06
Ball-Winner
85% match
€40.0M
#7
A
Alex Scott
AFC Bournemouth · Premier League
England22yContract 2028
KP/900.88
G/900.10
Box-to-Box
Last 5: ↑ Hot85% match
€40.0M
#8
B
Bernardo Silva
Manchester City · Premier League
Portugal31yContract 2026
KP/901.54
G/900.07
CreatorCreative
Last 5: ↑ Hot85% match
€27.0M
#9
N
Nicolás Domínguez
Nottingham Forest · Premier League
Argentina27yContract 2028
KP/900.91
G/900.08
Ball-WinnerDefensive
Last 5: → Stable85% match
€15.0M
#10
C
Cheick Doucouré
Crystal Palace · Premier League
Mali26yContract 2029
KP/900.20
G/900.00
Ball-WinnerDefensive
85% match
€13.0M
#11
M
Morten Hjulmand
Sporting CP · Liga Portugal
Denmark26yContract 2028
KP/901.13
G/900.08
Metronome
Last 5: → Stable84% match
€45.0M
#12
M
Moisés Caicedo
Chelsea · Premier League
Ecuador24yContract 2031
KP/900.58
G/900.10
Ball-WinnerDefensive
Last 5: → Stable84% match
€110.0M
⬡
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 João Palhinha.
Ask AI about João Palhinha →Frequently Asked Questions
Who are the best alternatives to João Palhinha?▼
The top alternatives to João Palhinha based on AI DNA playing style analysis include: Mateus Fernandes, João Gomes, Martín Zubimendi, Florentino, André. 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 João Palhinha in 2026?▼
Players with a similar profile to João Palhinha in 2026 include Mateus Fernandes (€32.0M), João Gomes (€35.0M), Martín Zubimendi (€80.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does João Palhinha play and who plays similarly?▼
João Palhinha plays as a Midfielder. Players with a comparable positional profile include Mateus Fernandes (Portugal, €32.0M); João Gomes (Brazil, €35.0M); Martín Zubimendi (Spain, €80.0M); Florentino (Portugal, €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.