⬡ AI DNA · Live season

Ajax· 2025/2026 · Eredivisie · PARTIAL

Best Alternatives to Kian Fitz-Jim

Central MidfieldNetherlands22y€3.5MFull profile →

MetronomeDefensiveSmall Sample

0.70KP/90

0.17G/90

0.00A/90

Based on 515 min · 2025/2026 · Eredivisie · PARTIAL

Ranked by AI DNA similarity — playing style, pressing, and tactical fit. Below: the closest replacements with per-90 stats and form.

DNA matchPrioritizes Eredivisie & top-tier peers

Top 3 alternatives to Kian Fitz-Jim

Kees Smit84% match
AZ · Eredivisie · €22.0M
Joey Veerman84% match
PSV · Eredivisie · €27.0M
Luciano Valente83% match
Feyenoord · Eredivisie · €18.0M

Ranked by RT Player DNA + league/value credibility. Scroll for full list, per-90 stats, and share cards.

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Playing Style Analysis

MetronomeDefensiveSmall Sample

A Metronome. Statistically, he stands out as an aggressive ball-winner (3.5 tackles/90), reads the game exceptionally (2.8 interceptions/90), meticulous in distribution (88% pass accuracy), penetrates with forward passing (8.4 final-third passes/90), wins the ball cleanly (1.9 successful tackles/90), central to possession (80 touches/90), a high-intensity presser (press score 3.8/90), constantly disrupting opposition build-up and top 10% tackler in the league. Note: this profile is based on 515 minutes of playing time this season. The three closest DNA matches to Kian Fitz-Jim:

Kees Smit(84% match) — A Box-to-Box. Statistically, he stands out as an elite creator (1.6 key passes/90), meticulous in distribution (88% pass accuracy), heavily involved in play (67 touches/90) and active off the ball (2.5 press score/90), contributing to defensive transitions.
Joey Veerman(84% match) — A Creator. Statistically, he stands out as an elite creator (3.6 key passes/90), a regular goalscorer (0.30 goals/90), a prolific assist provider (0.53 assists/90), active in the tackle (2.2 tackles/90), meticulous in distribution (86% pass accuracy), wins the physical battle (56% duel success), heavily involved in possession (74 passes/90), creates high-quality scoring opportunities (0.95 big chances/90), penetrates with forward passing (13.7 final-third passes/90), central to possession (95 touches/90), uses long balls frequently (8.2/90), active off the ball (2.7 press score/90), contributing to defensive transitions and top 10% creator in the league.
Luciano Valente(83% match) — A Box-to-Box. Statistically, he stands out as an elite creator (1.7 key passes/90), a prolific assist provider (0.25 assists/90), penetrates with forward passing (8.3 final-third passes/90), heavily involved in play (68 touches/90) and a high-intensity presser (press score 3.3/90), constantly disrupting opposition build-up.

Similarity uses per-90 performance across playing-style dimensions. How Player DNA matching works →

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Similar Players — Ranked by DNA Similarity

Kees Smit

AZ · Eredivisie

Netherlands20yContract 2028

KP/901.56

G/900.13

Box-to-BoxCreativeSteady form

vs Fitz-Jim: €19M more expensive · 2y younger

84% match

€22.0M

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Same DNA shortlist as above — budget fit, who to avoid, or why the top match works.

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Frequently Asked Questions

Who are the best alternatives to Kian Fitz-Jim?▼

The top alternatives to Kian Fitz-Jim based on AI DNA playing style analysis include: Kees Smit, Joey Veerman, Luciano Valente, Joel Chima Fujita, Michel Aebischer. 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 Kian Fitz-Jim in 2026?▼

Players with a similar profile to Kian Fitz-Jim in 2026 include Kees Smit (€22.0M), Joey Veerman (€27.0M), Luciano Valente (€18.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.

What position does Kian Fitz-Jim play and who plays similarly?▼

Kian Fitz-Jim plays as a Midfielder. Players with a comparable positional profile include Kees Smit (Netherlands, €22.0M); Joey Veerman (Netherlands, €27.0M); Luciano Valente (Italy, €18.0M); Joel Chima Fujita (Japan, €8.0M).

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.

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