RisingTransfers
AI DNA Similarity

Best Alternatives to Hiroki Sakai

Players most similar to Hiroki Sakai (Defender, €1.5M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Hiroki Sakai

  1. 1.Ko Itakura80% DNA match·Ajax€10.0M
  2. 2.Roland Sallai80% DNA match·Galatasaray€12.0M
  3. 3.Attila Szalai81% DNA match·TSG Hoffenheim€12.3M

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

RT

Intelligence Verdict

Aerials WonTop 9%
???Bottom 9%

Sakai is a seasoned veteran performing like a defensive cheat code in the A-League...

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Playing Style Analysis

Physical StopperAerialSmall Sample

Sakai is a seasoned veteran performing like a defensive cheat code in the A-League, blending the physical dominance of a center-half with the creative output of a modern playmaker. While his 71.3% pass accuracy seems pedestrian, it masks the reality of his high-risk, high-reward distribution; he is not recycling possession but rather carving teams open, ranking in the top 5% for both key passes and assists. Defensively, he is a statistical anomaly, winning 62.2% of his duels and dominating the air with a volume of success that puts him in the league’s elite tier. The three most similar players to Hiroki Sakai by playing style are:

  • Ko Itakura(80% match)Itakura is the kind of defender who wins games in the margins — not with last-ditch tackles, but with the quiet authority of a man who rarely puts the ball in the wrong place. His 93.3% pass accuracy sits in the top 5% of Eredivisie defenders, which tells you this isn't a player just lumping it clear; he's building from the back with genuine precision. His aerial and ground duel win rates both land in the top 20%, making him a reliably dominant physical presence.
  • Roland Sallai(80% match)Sallai is the rare defensive profile who makes opposing coaches nervous not because of what he stops, but because of what he starts. Playing in the Super Lig for a mid-tier side, he ranks in the top 10% for key passes among defenders—a number that quietly reframes his role entirely. His aerial dominance is genuine and elite, landing in the top 5% of the league, and his shot volume per 90 matches that same tier, suggesting a player who treats set-piece situations as offensive opportunities rather than survival exercises.
  • Attila Szalai(81% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (6.0 clearances/90), wins the physical battle (57% duel success), penetrates with forward passing (8.1 final-third passes/90) and uses long balls frequently (9.1/90).

Transfer Intelligence

Ko Itakura delivers 80% of the same playing style, at a 567% premium over Hiroki Sakai, with 1.15 tackles won per 90 at age 29.

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

H
Comparison Base
Hiroki Sakai
DefenderJapan€1.5M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
K
Ko Itakura
Ajax · Eredivisie
Japan29yContract 2029
Tkl/901.15
KP/900.14
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
vs Sakai: €9M more expensive · 7y younger
80% match
€10.0M
#2
R
Roland Sallai
Galatasaray · Super Lig
Hungary28yContract 2028
Tkl/901.79
KP/900.88
Active Full-Back
Last 5: → Stable
vs Sakai: €11M more expensive · 8y younger
80% match
€12.0M
#3
A
Attila Szalai
TSG Hoffenheim · Super Lig
Hungary28yContract 2026
Tkl/901.54
KP/900.54
Ball-Playing CBAerial
Last 5: ↓ Dip
vs Sakai: €11M more expensive · 8y younger
81% match
€12.3M
#4
M
Mitchell Weiser
Werder Bremen · Bundesliga
Germany32yContract 2024
Tkl/901.97
KP/901.29
Active Full-Back
80% match
€3.5M
#5
E
Erdoğan Yeşilyurt
Antalyaspor · Super Lig
Germany32yContract 2026
Tkl/901.61
KP/901.15
Active Full-Back
Last 5: → Stable
80% match
N/A
#6
S
Souffian El Karouani
FC Utrecht · Eredivisie
Morocco25y
Tkl/902.85
KP/903.08
Active Full-Back
Last 5: → Stable
80% match
N/A
#7
K
Keita Kosugi
Eintracht Frankfurt · Bundesliga
Japan20yContract 2031
Tkl/902.46
KP/901.88
Active Full-Back
79% match
€6.0M
#8
B
Bünyamin Balcı
Antalyaspor · Super Lig
Turkey25yContract 2027
Tkl/902.45
KP/900.70
Active Full-BackAerial
Last 5: → Stable
79% match
N/A
#9
H
Hiroki Ito
FC Bayern München · Bundesliga
Japan27yContract 2028
Tkl/900.41
KP/900.83
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
80% match
€18.0M
#10
T
Tsuyoshi Watanabe
Feyenoord · Eredivisie
Japan29yContract 2029
Tkl/901.16
KP/900.44
Ball-Playing CBBall-Playing
Last 5: → Stable
79% match
€10.0M
#11
R
Rasmus Kristensen
Eintracht Frankfurt · Bundesliga
Denmark28yContract 2029
Tkl/902.39
KP/900.80
Active Full-BackAerial
79% match
€14.0M
#12
L
Lars de Blok
VVV-Venlo · Eredivisie
Netherlands21yContract 2027
Tkl/901.56
KP/902.08
Active Full-Back
Last 5: ↑ Hot
79% match
N/A

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 Hiroki Sakai.

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Frequently Asked Questions

Who are the best alternatives to Hiroki Sakai?
The top alternatives to Hiroki Sakai based on AI DNA playing style analysis include: Ko Itakura, Roland Sallai, Attila Szalai, Mitchell Weiser, Erdoğan Yeşilyurt. 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 Hiroki Sakai in 2026?
Players with a similar profile to Hiroki Sakai in 2026 include Ko Itakura (€10.0M), Roland Sallai (€12.0M), Attila Szalai (€12.3M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Hiroki Sakai play and who plays similarly?
Hiroki Sakai plays as a Defender. Players with a comparable positional profile include Ko Itakura (Japan, €10.0M); Roland Sallai (Hungary, €12.0M); Attila Szalai (Hungary, €12.3M); Mitchell Weiser (Germany, €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.