RisingTransfers
AI DNA Similarity

Best Alternatives to Yacine Adli

Players most similar to Yacine Adli (Midfielder, €7.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Yacine Adli

  1. 1.Ramiz Zerrouki86% DNA match·FC Twente€7.2M
  2. 2.Jeff Reine-Adélaïde86% DNA match·Heracles Almelo€25.0M
  3. 3.Jerdy Schouten85% DNA match·PSV€22.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 17%

Adli is the kind of midfielder who wins games in the spaces between the obvious moments—a...

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Playing Style Analysis

Creator

Adli is the kind of midfielder who wins games in the spaces between the obvious moments—a metronomic progressive passer operating in a league that rarely rewards subtlety. His passes-into-the-final-third rate sits in the top 10% of the entire Pro League, which tells you everything: this is a man who doesn't just circulate possession, he advances it with purpose. Nearly 47 passes per 90 at 86.8% accuracy suggests someone who controls tempo rather than chases it. The three most similar players to Yacine Adli by playing style are:

  • Ramiz Zerrouki(86% 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.
  • Jeff Reine-Adélaïde(86% match)Reine-Adélaïde is the kind of midfielder who makes a team's possession game feel inevitable rather than effortful—a conductor operating at elite volume, ranking top 5% in the Eredivisie for passes per 90 while maintaining 87.8% accuracy. His 2.42 key passes per 90 place him firmly in the top 10% for chance creation, and his dribble rate mirrors that same elite tier, suggesting a player who doesn't just circulate the ball but genuinely advances it. The counterintuitive read here: his modest shot numbers aren't a finishing problem—they reflect a creator who knows his role.
  • Jerdy Schouten(85% match)Schouten is the kind of midfielder who makes a team's possession game feel inevitable rather than effortful—a metronome who rarely wastes a touch and almost never wastes a pass. His 92.3% pass accuracy and 75.3 passes per 90 both sit in the Eredivisie's top five percent, meaning he isn't just accurate, he's relentlessly active with the ball. The 10.32 passes into the final third per 90 is the counterintuitive number here: for a player who reads as a deep-lying anchor, he's consistently threading the needle forward, ranking top ten in the league.

Transfer Intelligence

Ramiz Zerrouki delivers 86% of the same playing style, with 1.56 key passes per 90 at age 27.

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

Y
Comparison Base
Yacine Adli
MidfielderFrance€7.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
R
Ramiz Zerrouki
FC Twente · Eredivisie
Algeria27y
KP/901.56
G/900.11
MetronomeCreative
Last 5: ↑ Hot
vs Adli: 2y older
86% match
€7.2M
#2
J
Jeff Reine-Adélaïde
Heracles Almelo · Eredivisie
France28y
KP/902.42
G/900.00
CreatorCreative
vs Adli: €18M more expensive · 3y older
86% match
€25.0M
#3
J
Jerdy Schouten
PSV · Eredivisie
Netherlands29yContract 2030
KP/900.91
G/900.04
Metronome
Last 5: → Stable
vs Adli: €15M more expensive · 4y older
85% match
€22.0M
#4
K
Kees Smit
AZ · Eredivisie
Netherlands20yContract 2028
KP/901.56
G/900.13
Box-to-BoxCreative
Last 5: → Stable
84% match
€22.0M
#5
G
Guus Til
PSV · Eredivisie
Netherlands28yContract 2028
KP/901.78
G/900.54
CreatorCreative
Last 5: → Stable
84% match
€15.0M
#6
T
Tijjani Reijnders
Manchester City · Premier League
Netherlands27yContract 2030
KP/901.04
G/900.29
Last 5: → Stable
84% match
€60.0M
#7
O
Oussama Targhalline
Feyenoord · Eredivisie
Morocco23yContract 2028
KP/900.94
G/900.10
Ball-WinnerDefensive
Last 5: ↑ Hot
84% match
€8.0M
#8
L
Luciano Valente
Feyenoord · Eredivisie
Italy22yContract 2030
KP/901.68
G/900.07
Box-to-BoxCreative
Last 5: ↓ Dip
84% match
€18.0M
#9
J
Joey Veerman
PSV · Eredivisie
Netherlands27yContract 2028
KP/903.64
G/900.31
CreatorCreative
Last 5: ↓ Dip
83% match
€27.0M
#10
O
Orkun Kökçü
Beşiktaş · Super Lig
Turkey25yContract 2026
KP/903.19
G/900.30
CreatorCreative
Last 5: → Stable
84% match
€25.0M
#11
K
Kodai Sano
Japan · Eredivisie
Japan22yContract 2028
KP/901.49
G/900.09
Box-to-Box
Last 5: → Stable
83% match
€6.0M
#12
P
Peer Koopmeiners
AZ · Eredivisie
Netherlands26yContract 2028
KP/901.10
G/900.09
Ball-WinnerDefensive
Last 5: → Stable
84% match
€10.0M

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 Yacine Adli.

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Frequently Asked Questions

Who are the best alternatives to Yacine Adli?
The top alternatives to Yacine Adli based on AI DNA playing style analysis include: Ramiz Zerrouki, Jeff Reine-Adélaïde, Jerdy Schouten, Kees Smit, Guus Til. 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 Yacine Adli in 2026?
Players with a similar profile to Yacine Adli in 2026 include Ramiz Zerrouki (€7.2M), Jeff Reine-Adélaïde (€25.0M), Jerdy Schouten (€22.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Yacine Adli play and who plays similarly?
Yacine Adli plays as a Midfielder. Players with a comparable positional profile include Ramiz Zerrouki (Algeria, €7.2M); Jeff Reine-Adélaïde (France, €25.0M); Jerdy Schouten (Netherlands, €22.0M); Kees Smit (Netherlands, €22.0M).
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.