RisingTransfers
AI DNA Similarity

Best Alternatives to Genki Haraguchi

Players most similar to Genki Haraguchi (Midfielder, €1.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Genki Haraguchi

  1. 1.Ramiz Zerrouki84% DNA match·FC Twente€7.2M
  2. 2.Leon Avdullahu82% DNA match·TSG Hoffenheim€17.0M
  3. 3.Ao Tanaka83% DNA match·Leeds United€10.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%

Haraguchi is the quintessential "control tower" operating within the chaos of a Tier C environment...

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Playing Style Analysis

Box-to-BoxCreative

Haraguchi is the quintessential "control tower" operating within the chaos of a Tier C environment, maintaining an elite 89.3% pass accuracy that places him in the top 5% of all Pro League midfielders. While his surface metrics suggest a conservative recycler, the data reveals a far more aggressive profile: he ranks in the top 30% for both key passes and total passes, proving he isn't just padding stats with sideways balls but actively carving paths into the final third. Counterintuitively, his high-level technical security is matched by a gritty defensive appetite, evidenced by a 56.3% duel win rate and intense pressing triggers. The three most similar players to Genki Haraguchi by playing style are:

  • Ramiz Zerrouki(84% 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.
  • Leon Avdullahu(82% match)A Metronome. Statistically, he stands out as active in the tackle (2.0 tackles/90), reads the game exceptionally (1.5 interceptions/90), meticulous in distribution (88% pass accuracy), heavily involved in possession (66 passes/90), wins the ball cleanly (1.9 successful tackles/90), central to possession (77 touches/90), uses long balls frequently (5.4/90) and a high-intensity presser (press score 3.5/90), constantly disrupting opposition build-up. Note: this profile is based on 529 minutes of playing time this season.
  • Ao Tanaka(83% match)A Creator. Statistically, he stands out as an elite creator (1.6 key passes/90), meticulous in distribution (87% pass accuracy), heavily involved in play (62 touches/90), active off the ball (2.8 press score/90), contributing to defensive transitions and top 20% creator in the league.

Transfer Intelligence

Ramiz Zerrouki delivers 84% of the same playing style, at a 620% premium over Genki Haraguchi, 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 →

G
Comparison Base
Genki Haraguchi
MidfielderJapan€1.0M
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 Haraguchi: €6M more expensive · 8y younger
84% match
€7.2M
#2
L
Leon Avdullahu
TSG Hoffenheim · Bundesliga
Switzerland22yContract 2029
KP/901.02
G/900.00
MetronomeSmall Sample
Last 5: ↑ Hot
vs Haraguchi: €16M more expensive · 13y younger
82% match
€17.0M
#3
A
Ao Tanaka
Leeds United · Premier League
Japan27yContract 2028
KP/901.52
G/900.15
CreatorCreative
Last 5: → Stable
vs Haraguchi: €9M more expensive · 8y younger
83% match
€10.0M
#4
J
Jens Toornstra
Sparta Rotterdam · Eredivisie
Netherlands37y
KP/901.27
G/900.00
CreatorSmall Sample
Last 5: ↓ Dip
82% match
€3.5M
#5
M
Marc Aguado
Elche · La Liga
Spain26yContract 2027
KP/900.31
G/900.00
Ball-Winner
Last 5: ↑ Hot
82% match
€3.0M
#6
J
Jerdy Schouten
PSV · Eredivisie
Netherlands29yContract 2030
KP/900.91
G/900.04
Metronome
Last 5: → Stable
81% match
€22.0M
#7
O
Oussama Targhalline
Feyenoord · Eredivisie
Morocco23yContract 2028
KP/900.94
G/900.10
Ball-WinnerDefensive
Last 5: ↑ Hot
81% match
€8.0M
#8
L
Luis Hasa
Napoli · Serie A
Italy22yContract 2026
KP/900.90
G/900.36
Box-to-Box
Last 5: ↑ Hot
82% match
€3.0M
#9
J
Joel Chima Fujita
St. Pauli · Bundesliga
Japan24y
KP/900.52
G/900.00
Box-to-BoxDefensive
Last 5: ↓ Dip
82% match
€8.0M
#10
K
Kodai Sano
Japan · Eredivisie
Japan22yContract 2028
KP/901.49
G/900.09
Box-to-Box
Last 5: → Stable
81% match
€6.0M
#11
C
Carlos Dotor
Málaga · La Liga
Spain25yContract 2026
KP/901.29
G/900.00
Box-to-BoxCreative
Last 5: ↑ Hot
82% match
€3.0M
#12
K
Kees Smit
AZ · Eredivisie
Netherlands20yContract 2028
KP/901.56
G/900.13
Box-to-BoxCreative
Last 5: → Stable
81% match
€22.0M

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 Genki Haraguchi.

Ask AI about Genki Haraguchi

Frequently Asked Questions

Who are the best alternatives to Genki Haraguchi?
The top alternatives to Genki Haraguchi based on AI DNA playing style analysis include: Ramiz Zerrouki, Leon Avdullahu, Ao Tanaka, Jens Toornstra, Marc Aguado. 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 Genki Haraguchi in 2026?
Players with a similar profile to Genki Haraguchi in 2026 include Ramiz Zerrouki (€7.2M), Leon Avdullahu (€17.0M), Ao Tanaka (€10.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Genki Haraguchi play and who plays similarly?
Genki Haraguchi plays as a Midfielder. Players with a comparable positional profile include Ramiz Zerrouki (Algeria, €7.2M); Leon Avdullahu (Switzerland, €17.0M); Ao Tanaka (Japan, €10.0M); Jens Toornstra (Netherlands, €3.5M).
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.