RisingTransfers
AI DNA Similarity

Best Alternatives to Bukayo Saka

Players most similar to Bukayo Saka (Attacker, €120.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Bukayo Saka

  1. 1.Bryan Mbeumo85% DNA match·Manchester United€80.0M
  2. 2.Reiss Nelson86% DNA match·Brentford€12.0M
  3. 3.Eddie Nketiah85% DNA match·Crystal Palace€16.0M

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

RT

Intelligence Verdict

Key PassesTop 3%
???Bottom 19%

Saka has become the Premier League's most complete wide attacker...

See Full Verdict + Share Card →

Playing Style Analysis

Inside ForwardDribbler

Saka has become the Premier League's most complete wide attacker — a player who can beat his man, create chances, press relentlessly, and still track back without ever looking like he's doing too much. His key pass rate and duel win rate both sit in the top 5% among attackers in the league, a combination that is genuinely rare: most dribblers don't create, and most creators don't fight. The counterintuitive detail is his assists figure — top 30% sounds modest, but his chance creation numbers suggest the final ball isn't the bottleneck; finishing by teammates is. The three most similar players to Bukayo Saka by playing style are:

  • Bryan Mbeumo(85% match)A Inside Forward. Statistically, he stands out as naturally left-footed, an elite creator (1.7 key passes/90) and a regular goalscorer (0.33 goals/90).
  • Reiss Nelson(86% match)A Dynamic Forward. Statistically, he stands out as an elite creator (2.4 key passes/90), a reliable supplier (0.19 assists/90), a dynamic dribbler (2.4/90) and meticulous in distribution (92% pass accuracy). Note: this profile is based on 486 minutes of playing time this season.
  • Eddie Nketiah(85% match)Nketiah occupies a peculiar space in the Premier League's striker ecosystem — too technical to be a pure poacher, too limited physically to be a focal point, yet quietly effective in ways that don't immediately announce themselves. His 0.43 goals per 90 places him in the top 30% of attackers, respectable for someone operating with limited service and minutes. The counterintuitive story here is his defensive contribution: a tackles-won rate in the top 10% league-wide reveals a forward who genuinely presses with purpose, not just optics — his 1.86 press intensity per 90 supports that.

Transfer Intelligence

Bryan Mbeumo delivers 85% of the same playing style, at 33% lower cost (€80.0M vs €120.0M), with 0.33 goals per 90 at age 26. That's 111% of Bukayo Saka's output in goals per 90 — a credible like-for-like option.

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

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Comparison Base
Bukayo Saka
AttackerEngland€120.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
B
Bryan Mbeumo
Manchester United · Premier League
Cameroon26yContract 2030
G/900.33
A/900.11
Inside Forward
Last 5: ↓ Dip
vs Saka: €40M cheaper · 2y older
85% match
€80.0M
#2
R
Reiss Nelson
Brentford · Premier League
England26yContract 2026
G/900.19
A/900.19
Dynamic ForwardDribbler
Last 5: ↓ Dip
vs Saka: €108M cheaper · 2y older · -0.10 G/90
86% match
€12.0M
#3
E
Eddie Nketiah
Crystal Palace · Premier League
England26yContract 2029
G/900.43
A/900.00
Goal Scorer
vs Saka: €104M cheaper · 2y older · +0.14 G/90
85% match
€16.0M
#4
H
Harry Wilson
Fulham · Premier League
Wales29yContract 2026
G/900.34
A/900.20
Inside Forward
Last 5: ↓ Dip
83% match
€25.0M
#5
L
Leandro Trossard
Arsenal · Premier League
Belgium31yContract 2026
G/900.28
A/900.28
Complete Forward
Last 5: → Stable
84% match
€20.0M
#6
C
Cody Gakpo
Liverpool · Premier League
Netherlands27yContract 2028
G/900.24
A/900.17
Inside Forward
Last 5: → Stable
83% match
€70.0M
#7
N
Noni Madueke
Arsenal · Premier League
England24yContract 2030
G/900.16
A/900.08
Dynamic ForwardDribbler
Last 5: ↓ Dip
83% match
€50.0M
#8
J
Jarrod Bowen 
West Ham United · Premier League
England29yContract 2030
G/900.22
A/900.28
Complete Forward
Last 5: ↓ Dip
83% match
€35.0M
#9
M
Michael Olise
FC Bayern München · Bundesliga
France24yContract 2029
G/900.42
A/900.50
Inside ForwardProlific
Last 5: ↑ Hot
83% match
€130.0M
#10
J
Jadon Sancho
Aston Villa · Premier League
England26yContract 2026
G/900.00
A/900.21
Small Sample
83% match
€20.0M
#11
M
Mattia Zaccagni 
Lazio · Serie A
Italy30yContract 2029
G/900.15
A/900.00
Last 5: ↓ Dip
82% match
€15.0M
#12
J
Jack Grealish
Everton · Premier League
England30yContract 2026
G/900.11
A/900.33
82% match
€25.0M

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 Bukayo Saka.

Ask AI about Bukayo Saka

Frequently Asked Questions

Who are the best alternatives to Bukayo Saka?
The top alternatives to Bukayo Saka based on AI DNA playing style analysis include: Bryan Mbeumo, Reiss Nelson, Eddie Nketiah, Harry Wilson, Leandro Trossard. 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 Bukayo Saka in 2026?
Players with a similar profile to Bukayo Saka in 2026 include Bryan Mbeumo (€80.0M), Reiss Nelson (€12.0M), Eddie Nketiah (€16.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Bukayo Saka play and who plays similarly?
Bukayo Saka plays as a Attacker. Players with a comparable positional profile include Bryan Mbeumo (Cameroon, €80.0M); Reiss Nelson (England, €12.0M); Eddie Nketiah (England, €16.0M); Harry Wilson (Wales, €25.0M).
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.