RisingTransfers
AI DNA Similarity

Best Alternatives to Jorthy Mokio

Players most similar to Jorthy Mokio (Midfielder, €8.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Jorthy Mokio

  1. 1.Oussama Targhalline86% DNA match·Feyenoord€8.0M
  2. 2.Ramiz Zerrouki85% DNA match·FC Twente€7.2M
  3. 3.Kodai Sano84% DNA match·Japan€6.0M

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

RT

Intelligence Verdict

Press IntensityTop 5%
???Bottom 9%

A Ball-Winner....

See Full Verdict + Share Card →

Playing Style Analysis

Ball-WinnerDefensive

A Ball-Winner. Statistically, he stands out as naturally left-footed, a reliable supplier (0.15 assists/90), an aggressive ball-winner (3.9 tackles/90), meticulous in distribution (85% pass accuracy), wins the ball cleanly (2.3 successful tackles/90), heavily involved in play (69 touches/90), a high-intensity presser (press score 3.4/90), constantly disrupting opposition build-up and top 10% tackler in the league. The three most similar players to Jorthy Mokio by playing style are:

  • Oussama Targhalline(86% match)Targhalline is the kind of midfielder who wins games in the spaces most fans never notice—a relentless ground-level disruptor who ranks in the Eredivisie's top 5% for duel success and top 10% for both interceptions and tackles won. His shot volume sits in the bottom 10% of the league, which looks damning until you realise his game is built entirely around controlling territory rather than claiming it for himself—he wins the ball, moves it accurately at 85.2%, and consistently threads passes into the final third at a top-20% clip. The counterintuitive truth is that his low key pass numbers don't signal a lack of ambition; they signal a player who transitions quickly rather than loitering in creative zones.
  • Ramiz Zerrouki(85% match)A Metronome. Statistically, he stands out as an elite creator (1.6 key passes/90), active in the tackle (2.3 tackles/90), penetrates with forward passing (11.6 final-third passes/90), central to possession (73 touches/90), switches play with precision (7.7 long balls/90, 63% accuracy) and active off the ball (2.8 press score/90), contributing to defensive transitions.
  • Kodai Sano(84% match)A Box-to-Box. Statistically, he stands out as a capable chance creator (1.5 key passes/90), a reliable supplier (0.24 assists/90), active in the tackle (2.2 tackles/90), central to possession (70 touches/90) and a high-intensity presser (press score 3.4/90), constantly disrupting opposition build-up.

Transfer Intelligence

Oussama Targhalline delivers 86% of the same playing style, with 0.94 key passes per 90 at age 23.

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

J
Comparison Base
Jorthy Mokio
MidfielderBelgium€8.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
O
Oussama Targhalline
Feyenoord · Eredivisie
Morocco23yContract 2028
KP/900.94
G/900.10
Ball-WinnerDefensive
Last 5: ↑ Hot
vs Mokio: 5y older
86% match
€8.0M
#2
R
Ramiz Zerrouki
FC Twente · Eredivisie
Algeria27y
KP/901.56
G/900.11
MetronomeCreative
Last 5: ↑ Hot
vs Mokio: 9y older
85% match
€7.2M
#3
K
Kodai Sano
Japan · Eredivisie
Japan22yContract 2028
KP/901.49
G/900.09
Box-to-Box
Last 5: → Stable
vs Mokio: 4y older
84% match
€6.0M
#4
Y
Youri Regeer
Ajax · Eredivisie
Netherlands22yContract 2029
KP/900.43
G/900.00
Ball-WinnerDefensive
Last 5: ↓ Dip
84% match
€5.0M
#5
P
Peer Koopmeiners
AZ · Eredivisie
Netherlands26yContract 2028
KP/901.10
G/900.09
Ball-WinnerDefensive
Last 5: → Stable
84% match
€10.0M
#6
M
Mamadou Sangaré
Lens · Ligue 1
Mali23yContract 2030
KP/902.24
G/900.00
CreatorCreative
Last 5: → Stable
84% match
€15.0M
#7
A
Ayoni Santos
Sparta Rotterdam · Eredivisie
Netherlands20yContract 2030
KP/901.03
G/900.00
CreatorDefensive
Last 5: ↓ Dip
84% match
€40.0M
#8
L
Luciano Valente
Feyenoord · Eredivisie
Italy22yContract 2030
KP/901.68
G/900.07
Box-to-BoxCreative
Last 5: ↓ Dip
83% match
€18.0M
#9
K
Kaishu Sano
Japan · Bundesliga
Japan25yContract 2028
KP/900.79
G/900.00
Box-to-Box
Last 5: → Stable
83% match
€25.0M
#10
I
Ilaix Moriba
Celta de Vigo · La Liga
Guinea23yContract 2029
KP/900.51
G/900.00
Ball-WinnerDefensive
Last 5: ↓ Dip
83% match
€10.0M
#11
P
Paul Wanner
PSV · Eredivisie
Austria20yContract 2030
KP/901.32
G/900.17
Box-to-BoxDefensive
Last 5: → Stable
83% match
€14.0M
#12
H
Hidemasa Morita
Sporting CP · Liga Portugal
Japan31yContract 2026
KP/901.02
G/900.05
MetronomeDefensive
Last 5: → Stable
83% match
€9.0M

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 Jorthy Mokio.

Ask AI about Jorthy Mokio

Frequently Asked Questions

Who are the best alternatives to Jorthy Mokio?
The top alternatives to Jorthy Mokio based on AI DNA playing style analysis include: Oussama Targhalline, Ramiz Zerrouki, Kodai Sano, Youri Regeer, Peer Koopmeiners. 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 Jorthy Mokio in 2026?
Players with a similar profile to Jorthy Mokio in 2026 include Oussama Targhalline (€8.0M), Ramiz Zerrouki (€7.2M), Kodai Sano (€6.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Jorthy Mokio play and who plays similarly?
Jorthy Mokio plays as a Midfielder. Players with a comparable positional profile include Oussama Targhalline (Morocco, €8.0M); Ramiz Zerrouki (Algeria, €7.2M); Kodai Sano (Japan, €6.0M); Youri Regeer (Netherlands, €5.0M).
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.