RisingTransfers
AI DNA Similarity

Best Alternatives to Dion Cools

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

Top 3 Alternatives to Dion Cools

  1. 1.Ko Itakura82% DNA match·Ajax€10.0M
  2. 2.Keita Kosugi81% DNA match·Eintracht Frankfurt€6.0M
  3. 3.Tsuyoshi Watanabe81% DNA match·Feyenoord€10.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%

A Active Full-Back....

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Playing Style Analysis

Active Full-BackAerial

A Active Full-Back. Statistically, he stands out as a regular goalscorer (0.20 goals/90), an aggressive ball-winner (2.6 tackles/90), commanding in the air (4.4 clearances/90), wins the physical battle (59% duel success), penetrates with forward passing (8.5 final-third passes/90), wins the ball cleanly (2.0 successful tackles/90), central to possession (76 touches/90), uses long balls frequently (7.8/90), active off the ball (2.2 press score/90), contributing to defensive transitions and top 10% tackler in the league. The three most similar players to Dion Cools by playing style are:

  • Ko Itakura(82% 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.
  • Keita Kosugi(81% match)A Active Full-Back. Statistically, he stands out as naturally left-footed, an elite creator (1.9 key passes/90), a reliable supplier (0.19 assists/90), active in the tackle (2.5 tackles/90), central to possession (78 touches/90) and active off the ball (2.5 press score/90), contributing to defensive transitions.
  • Tsuyoshi Watanabe(81% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.0 clearances/90), meticulous in distribution (89% pass accuracy), wins the physical battle (61% duel success), heavily involved in possession (62 passes/90), central to possession (75 touches/90), strong in aerial duels (3.2 aerials won/90), uses long balls frequently (5.2/90) and active off the ball (2.1 press score/90), contributing to defensive transitions.

Transfer Intelligence

Ko Itakura delivers 82% of the same playing style, at a 900% premium over Dion Cools, 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 →

D
Comparison Base
Dion Cools
DefenderMalaysia€1.0M
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 Cools: €9M more expensive
82% match
€10.0M
#2
K
Keita Kosugi
Eintracht Frankfurt · Bundesliga
Japan20yContract 2031
Tkl/902.46
KP/901.88
Active Full-Back
vs Cools: 9y younger
81% match
€6.0M
#3
T
Tsuyoshi Watanabe
Feyenoord · Eredivisie
Japan29yContract 2029
Tkl/901.16
KP/900.44
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Cools: €9M more expensive
81% match
€10.0M
#4
R
Rasmus Kristensen
Eintracht Frankfurt · Bundesliga
Denmark28yContract 2029
Tkl/902.39
KP/900.80
Active Full-BackAerial
80% match
€14.0M
#5
N
Nnamdi Collins
Eintracht Frankfurt · Bundesliga
Germany22yContract 2030
Tkl/901.42
KP/900.20
Ball-Playing CBBall-Playing
Last 5: → Stable
81% match
€15.0M
#6
D
Danilho Doekhi
FC Union Berlin · Bundesliga
Netherlands27yContract 2026
Tkl/901.00
KP/900.29
Physical StopperAerial
80% match
€13.0M
#7
S
Samuel Dahl
Benfica · Liga Portugal
Sweden23yContract 2029
Tkl/902.73
KP/901.14
Active Full-Back
Last 5: → Stable
79% match
€9.0M
#8
Y
Yukinari Sugawara
Werder Bremen · Bundesliga
Japan25yContract 2026
Tkl/901.04
KP/900.67
Active Full-BackSmall Sample
Last 5: → Stable
80% match
€7.5M
#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
M
Mees de Wit
AZ · Eredivisie
Netherlands28yContract 2029
Tkl/902.28
KP/901.12
Active Full-Back
Last 5: → Stable
80% match
€4.5M
#11
K
Kevin Diks
Borussia Mönchengladbach · Bundesliga
Netherlands29yContract 2030
Tkl/901.87
KP/900.21
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
80% match
€5.0M
#12
T
Takehiro Tomiyasu
Ajax · Eredivisie
Japan27yContract 2026
Tkl/901.75
KP/900.00
Active Full-Back
Last 5: → Stable
79% match
€12.0M

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 Dion Cools.

Ask AI about Dion Cools

Frequently Asked Questions

Who are the best alternatives to Dion Cools?
The top alternatives to Dion Cools based on AI DNA playing style analysis include: Ko Itakura, Keita Kosugi, Tsuyoshi Watanabe, Rasmus Kristensen, Nnamdi Collins. 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 Dion Cools in 2026?
Players with a similar profile to Dion Cools in 2026 include Ko Itakura (€10.0M), Keita Kosugi (€6.0M), Tsuyoshi Watanabe (€10.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Dion Cools play and who plays similarly?
Dion Cools plays as a Defender. Players with a comparable positional profile include Ko Itakura (Japan, €10.0M); Keita Kosugi (Japan, €6.0M); Tsuyoshi Watanabe (Japan, €10.0M); Rasmus Kristensen (Denmark, €14.0M).
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.