RisingTransfers
AI DNA Similarity

Best Alternatives to JP

Players most similar to JP (Midfielder, €2.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to JP

  1. 1.Mikael Egill Ellertsson83% DNA match·Genoa€3.5M
  2. 2.Nicolò Zaniolo83% DNA match·Udinese€13.0M
  3. 3.Lorenzo Pellegrini84% DNA match·Roma€9.0M

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

RT

Intelligence Verdict

AssistsTop 16%
???Bottom 5%

JP is a chaos-inducing physical outlier who pairs an elite 66.7% duel win rate—placing him in the...

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Playing Style Analysis

Ball-WinnerDefensiveSmall Sample

JP is a chaos-inducing physical outlier who pairs an elite 66.7% duel win rate—placing him in the top 5% of Serie A midfielders—with a pass completion rate so abysmal it suggests a player allergic to the mundane. While his 50% accuracy is bottom-decile, the counterintuitive reality is that JP is a high-variance playmaker; despite his technical sloppiness, he maintains an assist rate in the league’s top 20%, proving his meager 33 passes per 90 are weapons of intent rather than retention. He offers almost nothing in the air or in a structured press, often drifting through defensive phases with concerning lethality. The three most similar players to JP by playing style are:

  • Mikael Egill Ellertsson(83% match)A Balanced Midfielder. Statistically, he stands out as naturally left-footed.
  • Nicolò Zaniolo(83% match)A Creator. Statistically, he stands out as an elite creator (2.7 key passes/90), a constant goal threat (2.9 shots/90), a regular goalscorer (0.21 goals/90), a reliable supplier (0.21 assists/90), heavily involved in play (50 touches/90), draws fouls effectively (2.3/90), active off the ball (2.0 press score/90), contributing to defensive transitions and top 10% creator in the league. However, he loses possession under pressure (2.5 dispossessed/90).
  • Lorenzo Pellegrini(84% match)Pellegrini remains one of Serie A's most frustrating paradoxes: a midfielder who consistently breaks into the top 20% for both key passes and shots per 90, yet somehow still divides opinion at the highest level. His 1.71 key passes and 0.21 goals per 90 aren't volume illusions—they reflect a genuine capacity to hurt teams in ways most central midfielders simply can't. Here's the counterintuitive part: his below-average pass accuracy of 76.8% likely reflects ambition rather than sloppiness—he's attempting the difficult ball, the penetrating pass into the final third where he ranks in the top 30%.

Transfer Intelligence

Mikael Egill Ellertsson delivers 83% of the same playing style, at a 75% premium over JP, with 0.40 key passes per 90 at age 24.

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

J
Comparison Base
JP
MidfielderBrazil€2.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
M
Mikael Egill Ellertsson
Genoa · Serie A
Iceland24yContract 2029
KP/900.40
G/900.00
Balanced Midfielder
Last 5: ↓ Dip
vs JP: 3y older
83% match
€3.5M
#2
N
Nicolò Zaniolo
Udinese · Serie A
Italy26yContract 2026
KP/902.74
G/900.20
CreatorCreative
Last 5: ↑ Hot
vs JP: €11M more expensive · 5y older
83% match
€13.0M
#3
L
Lorenzo Pellegrini
Roma · Serie A
Italy29yContract 2026
KP/901.65
G/900.19
Creative Playmaker
Last 5: ↑ Hot
vs JP: €7M more expensive · 8y older
84% match
€9.0M
#4
J
Jari Vandeputte
Cremonese · Serie A
Belgium30y
KP/903.00
G/900.00
CreatorCreative
83% match
€3.3M
#5
R
Rolando Mandragora
Fiorentina · Serie A
Italy28yContract 2026
KP/901.60
G/900.22
Box-to-Box
Last 5: ↑ Hot
83% match
€10.0M
#6
T
Tommaso Pobega
Bologna · Serie A
Italy26yContract 2026
KP/900.36
G/900.18
Balanced Midfielder
Last 5: ↑ Hot
83% match
€9.0M
#7
K
Khéphren Thuram
Juventus · Serie A
France25yContract 2029
KP/901.22
G/900.00
Chance Creator
83% match
€40.0M
#8
L
Lennon Miller
Udinese · Serie A
Scotland19yContract 2030
KP/901.22
G/900.00
Box-to-BoxDefensive
Last 5: ↑ Hot
83% match
€8.0M
#9
L
Luis Henrique
Inter · Serie A
Brazil24yContract 2030
KP/901.31
G/900.00
Creator
Last 5: → Stable
83% match
€23.0M
#10
A
Arthur Atta
Udinese · Serie A
France23yContract 2029
KP/901.16
G/900.25
Box-to-Box
Last 5: ↓ Dip
83% match
€15.0M
#11
C
Cristian Volpato
Sassuolo · Serie A
Italy22yContract 2028
KP/901.88
G/900.00
CreatorCreative
83% match
€10.0M
#12
I
Ismaël Koné
Sassuolo · Serie A
Canada23yContract 2030
KP/900.68
G/900.34
Box-to-BoxSmall Sample
Last 5: ↓ Dip
82% match
€14.0M

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 JP.

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Frequently Asked Questions

Who are the best alternatives to JP?
The top alternatives to JP based on AI DNA playing style analysis include: Mikael Egill Ellertsson, Nicolò Zaniolo, Lorenzo Pellegrini, Jari Vandeputte, Rolando Mandragora. 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 JP in 2026?
Players with a similar profile to JP in 2026 include Mikael Egill Ellertsson (€3.5M), Nicolò Zaniolo (€13.0M), Lorenzo Pellegrini (€9.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does JP play and who plays similarly?
JP plays as a Midfielder. Players with a comparable positional profile include Mikael Egill Ellertsson (Iceland, €3.5M); Nicolò Zaniolo (Italy, €13.0M); Lorenzo Pellegrini (Italy, €9.0M); Jari Vandeputte (Belgium, €3.3M).
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.