RisingTransfers
AI DNA Similarity

Best Alternatives to Andre Gray

Players most similar to Andre Gray (Attacker, €28.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Andre Gray

  1. 1.Mohamed Bayo81% DNA match·Gaziantep F.K.€14.0M
  2. 2.Mauro Icardi81% DNA match·Galatasaray€6.0M
  3. 3.Cengiz Ünder81% DNA match·Beşiktaş€7.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 0%

Gray arrives in the Super Lig carrying the faded credibility of a Premier League career that...

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Playing Style Analysis

Gray arrives in the Super Lig carrying the faded credibility of a Premier League career that promised more than it delivered, and the numbers here suggest the decline is real. His shot volume sits in the bottom 10% among forwards in the division — for a striker, that's not a quirk, it's an indictment. Aerial presence is equally absent, which strips away the one fallback profile you'd expect from a physical English forward. The three most similar players to Andre Gray by playing style are:

  • Mohamed Bayo(81% match)Bayo is the kind of striker who exists almost exclusively to put the ball in the net—and in the Super Lig this season, he's doing exactly that better than 90% of his peers. His 0.63 goals per 90 is the headline, and it's genuinely elite at this level. What makes that number counterintuitive is how little he participates in build-up play: sitting in the bottom 10% for passes per 90, he's essentially invisible until the moment he isn't.
  • Mauro Icardi(81% match)Icardi remains one of football's most polarising case studies: a striker whose entire value is compressed into the 18-yard box with almost surgical precision, and whose numbers in the Turkish top flight prove the instinct hasn't left him. His 1.15 goals per 90 and 4.69 shots per 90 both sit in the league's top 5%, meaning he isn't just scoring—he's generating and converting at a rate that embarrasses most peers in this division. The counterintuitive detail is his 86.4% pass accuracy, also top 5%; this isn't a battering ram, it's a player who links play tidily before disappearing into dangerous spaces.
  • Cengiz Ünder(81% match)Ünder remains one of European football's most frustrating nearly-men—a player whose ceiling still feels higher than his CV suggests, yet whose numbers this season demand serious reassessment. Operating in the Super Lig, he's not coasting; his 2.09 key passes per 90 places him in the top 10% of attackers in the league, and his shot volume of 3.45 per 90 sits alongside the division's most dangerous forwards. The counterintuitive detail is his aerial dominance—top 5% in the league for win rate—something nobody associates with a slight, technical winger, yet it quietly makes him a genuine aerial threat in transition.

Transfer Intelligence

Mohamed Bayo delivers 81% of the same playing style, at 50% lower cost (€14.0M vs €28.0M), with 0.60 goals per 90 at age 27.

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

A
Comparison Base
Andre Gray
AttackerJamaica€28.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
M
Mohamed Bayo
Gaziantep F.K. · Super Lig
Guinea27y
G/900.60
A/900.12
PoacherProlific
Last 5: → Stable
vs Gray: €14M cheaper · 7y younger
81% match
€14.0M
#2
M
Mauro Icardi
Galatasaray · Super Lig
Argentina33yContract 2026
G/901.02
A/900.07
PoacherProlific
Last 5: → Stable
vs Gray: €22M cheaper
81% match
€6.0M
#3
C
Cengiz Ünder
Beşiktaş · Super Lig
Turkey28yContract 2026
G/900.40
A/900.24
Goal ScorerLink-Up Forward
Last 5: ↓ Dip
vs Gray: €21M cheaper · 6y younger
81% match
€7.0M
#4
O
Oğuz Aydın
Fenerbahçe · Super Lig
Turkey25yContract 2028
G/900.00
A/900.16
Link-up StrikerSmall Sample
81% match
€8.0M
#5
E
Evanilson
AFC Bournemouth · Premier League
Brazil26yContract 2029
G/900.21
A/900.07
Complete Forward
Last 5: ↓ Dip
80% match
€35.0M
#6
V
Viktor Gyökeres
Arsenal · Premier League
Sweden27yContract 2030
G/900.57
A/900.04
PoacherProlific
Last 5: → Stable
81% match
€65.0M
#7
L
Leroy Sané
Galatasaray · Super Lig
Germany30yContract 2028
G/900.33
A/900.20
Inside ForwardDribbler
Last 5: → Stable
80% match
€23.0M
#8
A
Ally Samatta
Le Havre · Ligue 1
Tanzania33y
G/900.00
A/900.00
Target Man
80% match
€6.0M
#9
Y
Youssoufa Moukoko
FC København · Superliga
Germany21yContract 2030
G/900.18
A/900.18
Dynamic ForwardDribbler
Last 5: ↑ Hot
80% match
€5.0M
#10
E
Enes Ünal
AFC Bournemouth · Premier League
Turkey29yContract 2028
G/900.46
A/900.00
Target ManProlific
Last 5: ↓ Dip
81% match
€8.0M
#11
F
Franco Tongya
Gençlerbirliği · Super Lig
Italy24y
G/900.16
A/900.08
Last 5: ↑ Hot
81% match
€8.0M
#12
D
David Datro Fofana
Strasbourg · Super Lig
Ivory Coast23yContract 2026
G/900.55
A/900.00
Goal Scorer
Last 5: ↓ Dip
81% match
€5.0M

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 Andre Gray.

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Frequently Asked Questions

Who are the best alternatives to Andre Gray?
The top alternatives to Andre Gray based on AI DNA playing style analysis include: Mohamed Bayo, Mauro Icardi, Cengiz Ünder, Oğuz Aydın, Evanilson. 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 Andre Gray in 2026?
Players with a similar profile to Andre Gray in 2026 include Mohamed Bayo (€14.0M), Mauro Icardi (€6.0M), Cengiz Ünder (€7.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Andre Gray play and who plays similarly?
Andre Gray plays as a Attacker. Players with a comparable positional profile include Mohamed Bayo (Guinea, €14.0M); Mauro Icardi (Argentina, €6.0M); Cengiz Ünder (Turkey, €7.0M); Oğuz Aydın (Turkey, €8.0M).
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.