AI DNA Similarity
Best Alternatives to Alexandre Jesus
Players most similar to Alexandre Jesus (Attacker, €500K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
A Target Man in Serie B. Statistically, he stands out as a regular goalscorer (0.28 goals/90) and strong in aerial duels (3.5 aerials won/90). The three most similar players to Alexandre Jesus by playing style are:
- Idrissa Gueye(95% match) — A Target Man in Serie A. Statistically, he stands out as a constant goal threat (2.6 shots/90), a regular goalscorer (0.39 goals/90) and strong in aerial duels (4.1 aerials won/90).
- Duván Zapata(95% match) — A Target Man in Serie A. Statistically, he stands out as a constant goal threat (2.7 shots/90), a regular goalscorer (0.29 goals/90), strong in aerial duels (3.1 aerials won/90) and draws fouls effectively (2.1/90).
- Gennaro Borrelli(95% match) — A Target Man in Serie A. Statistically, he stands out as a regular goalscorer (0.26 goals/90), strong in aerial duels (3.9 aerials won/90) and draws fouls effectively (3.6/90).
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
I
Idrissa Gueye
Udinese · Serie A
Senegal19y
G/900.39
A/900.08
Target Man
Last 5: ↓ Dip95% match
€4.0M
#2
D
Duván Zapata
Torino · Serie A
Colombia34yContract 2027
G/900.29
A/900.10
Target Man
Last 5: ↑ Hot95% match
€3.0M
#3
G
Gennaro Borrelli
Cagliari · Serie A
Italy26yContract 2029
G/900.26
A/900.09
Target Man
95% match
€3.0M
#4
A
Andrea Pinamonti
Sassuolo · Serie A
Italy26yContract 2027
G/900.30
A/900.13
Target Man
Last 5: ↑ Hot94% match
€15.0M
#5
J
Jamie Vardy
Cremonese · Serie A
England39y
G/900.25
A/900.10
Target Man
Last 5: ↓ Dip94% match
N/A
#6
M
Mateo Pellegrino
Parma · Serie A
Argentina24yContract 2029
G/900.29
A/900.04
Target Man
Last 5: → Stable94% match
€10.0M
#7
M
M'Bala Nzola
Sassuolo · Serie A
Angola29yContract 2026
G/900.26
A/900.00
Target Man
Last 5: ↓ Dip94% match
€6.0M
#8
J
Jeff Ekhator
Genoa · Serie A
Nigeria19yContract 2029
G/900.28
A/900.00
Target ManSmall Sample
Last 5: ↓ Dip94% match
€7.0M
#9
A
Adam Buksa
Udinese · Serie A
Poland29yContract 2029
G/900.29
A/900.00
Target ManSmall Sample
Last 5: ↑ Hot93% match
€4.0M
#10
S
Sterling Yateke
Kolding IF · Superliga
Central African Republic26y
G/900.32
A/900.09
Target Man
93% match
N/A
#11
A
Amin Sarr
Hellas Verona · Serie A
Sweden25yContract 2029
G/900.00
A/900.09
Target Man
93% match
€3.0M
#12
A
Agustín Álvarez
Sassuolo · Serie A
Uruguay24yContract 2026
G/900.44
A/900.11
Target ManProlific
Last 5: ↓ Dip93% match
€3.7M
⬡
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 Alexandre Jesus.
Ask AI about Alexandre Jesus →Frequently Asked Questions
Who are the best alternatives to Alexandre Jesus?▼
The top alternatives to Alexandre Jesus based on AI DNA playing style analysis include: Idrissa Gueye, Duván Zapata, Gennaro Borrelli, Andrea Pinamonti, Jamie Vardy. 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 Alexandre Jesus in 2026?▼
Players with a similar profile to Alexandre Jesus in 2026 include Idrissa Gueye (€4.0M), Duván Zapata (€3.0M), Gennaro Borrelli (€3.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Alexandre Jesus play and who plays similarly?▼
Alexandre Jesus plays as a Attacker. Players with a comparable positional profile include Idrissa Gueye (Senegal, €4.0M); Duván Zapata (Colombia, €3.0M); Gennaro Borrelli (Italy, €3.0M); Andrea Pinamonti (Italy, €15.0M).
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.