RisingTransfers
AI DNA Similarity

Best Alternatives to Gijs Smal

Players most similar to Gijs Smal (Defender, €6.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Gijs Smal

  1. 1.Jordan Lotomba86% DNA match·Feyenoord€5.0M
  2. 2.Jordan Bos86% DNA match·Feyenoord€5.0M
  3. 3.Anass Salah-Eddine86% DNA match·PSV€12.0M

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

RT

Intelligence Verdict

Key PassesTop 4%
???Bottom 0%

A Active Full-Back....

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Playing Style Analysis

Active Full-BackSmall Sample

A Active Full-Back. Statistically, he stands out as naturally left-footed, an elite creator (1.6 key passes/90), active in the tackle (2.2 tackles/90), wins the physical battle (68% duel success), penetrates with forward passing (10.4 final-third passes/90), central to possession (76 touches/90) and active off the ball (2.4 press score/90), contributing to defensive transitions. Note: this profile is based on 845 minutes of playing time this season. The three most similar players to Gijs Smal by playing style are:

  • Jordan Lotomba(86% match)Lotomba is the kind of full-back who quietly does enough in five different departments without fully owning any of them—a profile that sounds damning until you look at the league context. His 88.5% pass accuracy lands in the top 30% of Eredivisie defenders, and his assist rate per 90 sits in the top 20%, suggesting a genuine threat in transition despite a dribble count that also cracks that same elite bracket. Here's the counterintuitive part: his suspiciously low passes-per-90 figure—bottom 10% in the league—likely reflects positional role and game state rather than technical limitation, given how clean his accuracy numbers are when he does receive.
  • Jordan Bos(86% match)A Active Full-Back. Statistically, he stands out as naturally left-footed, an elite creator (1.6 key passes/90), a prolific assist provider (0.32 assists/90), an aggressive ball-winner (3.1 tackles/90), meticulous in distribution (85% pass accuracy), wins the physical battle (57% duel success), wins the ball cleanly (2.1 successful tackles/90), central to possession (75 touches/90), active off the ball (2.9 press score/90), contributing to defensive transitions and top 10% tackler in the league.
  • Anass Salah-Eddine(86% match)A Active Full-Back. Statistically, he stands out as naturally left-footed, active in the tackle (2.4 tackles/90), meticulous in distribution (90% pass accuracy), wins the physical battle (62% duel success), wins the ball cleanly (1.8 successful tackles/90), central to possession (73 touches/90) and active off the ball (3.0 press score/90), contributing to defensive transitions.

Transfer Intelligence

Jordan Lotomba delivers 86% of the same playing style, at 17% lower cost (€5.0M vs €6.0M), with 1.66 tackles won 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
Gijs Smal
DefenderNetherlands€6.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
J
Jordan Lotomba
Feyenoord · Eredivisie
Switzerland27yContract 2027
Tkl/901.66
KP/900.39
Last 5: ↑ Hot
86% match
€5.0M
#2
J
Jordan Bos
Feyenoord · Eredivisie
Australia23yContract 2029
Tkl/903.11
KP/901.65
Active Full-Back
Last 5: ↓ Dip
vs Smal: 5y younger
86% match
€5.0M
#3
A
Anass Salah-Eddine
PSV · Eredivisie
Netherlands24yContract 2026
Tkl/902.40
KP/900.86
Active Full-Back
Last 5: → Stable
vs Smal: €6M more expensive · 4y younger
86% match
€12.0M
#4
A
Anton Gaaei
Ajax · Eredivisie
Denmark23yContract 2028
Tkl/901.38
KP/901.48
Active Full-Back
Last 5: ↑ Hot
85% match
€5.0M
#5
S
Sergiño Dest
PSV · Eredivisie
United States25yContract 2028
Tkl/902.21
KP/901.11
Ball-Playing CBBall-Playing
Last 5: → Stable
85% match
€18.0M
#6
A
Arthur Zagré
Excelsior · Eredivisie
France24yContract 2026
Tkl/902.08
KP/900.74
Active Full-Back
Last 5: ↓ Dip
85% match
€10.0M
#7
I
Ian Maatsen
Aston Villa · Premier League
Netherlands24yContract 2030
Tkl/902.33
KP/901.44
Active Full-Back
Last 5: ↓ Dip
85% match
€25.0M
#8
M
Mauro Júnior
PSV · Eredivisie
Brazil27yContract 2029
Tkl/902.63
KP/901.51
Active Full-BackBall-Playing
Last 5: → Stable
85% match
€17.0M
#9
M
Mees de Wit
AZ · Eredivisie
Netherlands28yContract 2029
Tkl/902.28
KP/901.12
Active Full-Back
Last 5: → Stable
85% match
€4.5M
#10
A
Anel Ahmedhodzic
Feyenoord · Eredivisie
Bosnia and Herzegovina27yContract 2029
Tkl/901.10
KP/900.53
Ball-Playing CBBall-Playing
Last 5: → Stable
84% match
€12.0M
#11
K
Ko Itakura
Ajax · Eredivisie
Japan29yContract 2029
Tkl/901.15
KP/900.14
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
84% match
€10.0M
#12
A
Alexandre Penetra
AZ · Eredivisie
Portugal24yContract 2028
Tkl/901.44
KP/900.26
Ball-Playing CBBall-Playing
Last 5: → Stable
84% 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 Gijs Smal.

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Frequently Asked Questions

Who are the best alternatives to Gijs Smal?
The top alternatives to Gijs Smal based on AI DNA playing style analysis include: Jordan Lotomba, Jordan Bos, Anass Salah-Eddine, Anton Gaaei, Sergiño Dest. 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 Gijs Smal in 2026?
Players with a similar profile to Gijs Smal in 2026 include Jordan Lotomba (€5.0M), Jordan Bos (€5.0M), Anass Salah-Eddine (€12.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Gijs Smal play and who plays similarly?
Gijs Smal plays as a Defender. Players with a comparable positional profile include Jordan Lotomba (Switzerland, €5.0M); Jordan Bos (Australia, €5.0M); Anass Salah-Eddine (Netherlands, €12.0M); Anton Gaaei (Denmark, €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.