AI DNA Similarity
Best Alternatives to André
Players most similar to André (Midfielder, €22.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to André
- 1.Benjamin André90% DNA match·LOSC Lille€4.0M
- 2.Elliot Anderson87% DNA match·Nottingham Forest€60.0M
- 3.João Gomes86% DNA match·Wolverhampton Wanderers€35.0M
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
Chances MissedTop 0%
???Bottom 20%
“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 (2.6 tackles/90), meticulous in distribution (91% pass accuracy), heavily involved in play (59 touches/90) and a high-intensity presser (press score 3.4/90), constantly disrupting opposition build-up. The three most similar players to André by playing style are:
- Benjamin André(90% match) — A Ball-Winner. Statistically, he stands out as a capable chance creator (1.0 key passes/90), an aggressive ball-winner (2.6 tackles/90), reads the game exceptionally (1.5 interceptions/90), wins the physical battle (59% duel success), heavily involved in play (68 touches/90), draws fouls effectively (2.1/90) and a high-intensity presser (press score 3.1/90), constantly disrupting opposition build-up. However, he loses possession under pressure (1.6 dispossessed/90).
- Elliot Anderson(87% match) — A Metronome. Statistically, he stands out as an elite creator (1.5 key passes/90), an aggressive ball-winner (2.8 tackles/90), meticulous in distribution (85% pass accuracy), heavily involved in possession (64 passes/90), penetrates with forward passing (10.2 final-third passes/90), central to possession (89 touches/90), draws fouls effectively (2.1/90), uses long balls frequently (6.0/90) and a high-intensity presser (press score 4.1/90), constantly disrupting opposition build-up. However, he loses possession under pressure (1.7 dispossessed/90).
- João Gomes(86% 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).
Transfer Intelligence
Benjamin André delivers 90% of the same playing style, at 82% lower cost (€4.0M vs €22.0M), with 1.00 key passes per 90 at age 35.
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
B
Benjamin André
LOSC Lille · Ligue 1
France35yContract 2026
KP/901.00
G/900.13
Ball-WinnerDefensive
Last 5: ↓ Dipvs André: €18M cheaper · 11y older
90% match
€4.0M
#2
E
Elliot Anderson
Nottingham Forest · Premier League
Scotland23yContract 2029
KP/901.50
G/900.11
MetronomeCreative
Last 5: ↓ Dipvs André: €38M more expensive
87% match
€60.0M
#3
J
João Gomes
Wolverhampton Wanderers · Premier League
Brazil25yContract 2030
KP/900.53
G/900.03
Ball-WinnerDefensive
Last 5: → Stablevs André: €13M more expensive
86% match
€35.0M
#4
J
João Neves
Paris Saint Germain · Ligue 1
Portugal21yContract 2029
KP/901.05
G/900.18
MetronomeSmall Sample
Last 5: → Stable86% match
€110.0M
#5
N
Nico González
Manchester City · Premier League
Spain24yContract 2029
KP/900.61
G/900.06
Metronome
Last 5: ↑ Hot85% match
€45.0M
#6
M
Mateus Fernandes
West Ham United · Premier League
Portugal21yContract 2030
KP/901.07
G/900.10
Ball-WinnerDefensive
Last 5: → Stable85% match
€32.0M
#7
B
Bruno Fernandes
Manchester United · Premier League
Portugal31yContract 2027
KP/903.89
G/900.25
CreatorCreative
Last 5: → Stable85% match
€40.0M
#8
J
João Palhinha
Tottenham Hotspur · Premier League
Portugal30yContract 2026
KP/900.27
G/900.18
Ball-WinnerDefensive
Last 5: ↓ Dip85% match
€25.0M
#9
A
Alex Scott
AFC Bournemouth · Premier League
England22yContract 2028
KP/900.88
G/900.10
Box-to-Box
Last 5: ↑ Hot84% match
€40.0M
#10
M
Martín Zubimendi
Arsenal · Premier League
Spain27yContract 2030
KP/900.59
G/900.15
Metronome
Last 5: ↑ Hot84% match
€80.0M
#11
D
Diego Gómez
Brighton & Hove Albion · Premier League
Paraguay23y
KP/900.92
G/900.22
Ball-WinnerDefensive
Last 5: ↓ Dip84% match
€25.0M
#12
F
Florentino
Burnley · Premier League
Portugal26yContract 2026
KP/900.55
G/900.00
Ball-WinnerDefensive
Last 5: ↑ Hot84% match
€20.0M
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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 André.
Ask AI about André →Frequently Asked Questions
Who are the best alternatives to André?▼
The top alternatives to André based on AI DNA playing style analysis include: Benjamin André, Elliot Anderson, João Gomes, João Neves, Nico González. 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 André in 2026?▼
Players with a similar profile to André in 2026 include Benjamin André (€4.0M), Elliot Anderson (€60.0M), João Gomes (€35.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does André play and who plays similarly?▼
André plays as a Midfielder. Players with a comparable positional profile include Benjamin André (France, €4.0M); Elliot Anderson (Scotland, €60.0M); João Gomes (Brazil, €35.0M); João Neves (Portugal, €110.0M).
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.