RisingTransfers
AI DNA Similarity

Best Alternatives to Kian Fitz-Jim

Players most similar to Kian Fitz-Jim (Midfielder, €3.5M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Kian Fitz-Jim

  1. 1.Ramiz Zerrouki85% DNA match·FC Twente€7.2M
  2. 2.Kees Smit84% DNA match·AZ€22.0M
  3. 3.Oussama Targhalline84% DNA match·Feyenoord€8.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 0%

A Metronome....

See Full Verdict + Share Card →

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 most similar players to Kian Fitz-Jim by playing style are:

  • Ramiz Zerrouki(85% 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.
  • 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. However, he loses possession under pressure (1.6 dispossessed/90).
  • Oussama Targhalline(84% match)Targhalline is the kind of midfielder who wins games in the spaces most fans never notice—a relentless ground-level disruptor who ranks in the Eredivisie's top 5% for duel success and top 10% for both interceptions and tackles won. His shot volume sits in the bottom 10% of the league, which looks damning until you realise his game is built entirely around controlling territory rather than claiming it for himself—he wins the ball, moves it accurately at 85.2%, and consistently threads passes into the final third at a top-20% clip. The counterintuitive truth is that his low key pass numbers don't signal a lack of ambition; they signal a player who transitions quickly rather than loitering in creative zones.

Transfer Intelligence

Ramiz Zerrouki delivers 85% of the same playing style, at a 106% premium over Kian Fitz-Jim, 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 →

K
Comparison Base
Kian Fitz-Jim
MidfielderNetherlands€3.5M
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 Fitz-Jim: 5y older
85% match
€7.2M
#2
K
Kees Smit
AZ · Eredivisie
Netherlands20yContract 2028
KP/901.56
G/900.13
Box-to-BoxCreative
Last 5: → Stable
vs Fitz-Jim: €19M more expensive · 2y younger
84% match
€22.0M
#3
O
Oussama Targhalline
Feyenoord · Eredivisie
Morocco23yContract 2028
KP/900.94
G/900.10
Ball-WinnerDefensive
Last 5: ↑ Hot
84% match
€8.0M
#4
J
Jens Toornstra
Sparta Rotterdam · Eredivisie
Netherlands37y
KP/901.27
G/900.00
CreatorSmall Sample
Last 5: ↓ Dip
85% match
€3.5M
#5
J
Joey Veerman
PSV · Eredivisie
Netherlands27yContract 2028
KP/903.64
G/900.31
CreatorCreative
Last 5: ↓ Dip
84% match
€27.0M
#6
K
Kodai Sano
Japan · Eredivisie
Japan22yContract 2028
KP/901.49
G/900.09
Box-to-Box
Last 5: → Stable
84% match
€6.0M
#7
J
Jerdy Schouten
PSV · Eredivisie
Netherlands29yContract 2030
KP/900.91
G/900.04
Metronome
Last 5: → Stable
84% match
€22.0M
#8
P
Peer Koopmeiners
AZ · Eredivisie
Netherlands26yContract 2028
KP/901.10
G/900.09
Ball-WinnerDefensive
Last 5: → Stable
85% match
€10.0M
#9
Y
Youri Regeer
Ajax · Eredivisie
Netherlands22yContract 2029
KP/900.43
G/900.00
Ball-WinnerDefensive
Last 5: ↓ Dip
85% match
€5.0M
#10
S
Sven Mijnans
AZ · Eredivisie
Netherlands26yContract 2028
KP/902.03
G/900.40
CreatorCreative
Last 5: ↓ Dip
84% match
€14.0M
#11
T
Tijjani Reijnders
Manchester City · Premier League
Netherlands27yContract 2030
KP/901.04
G/900.29
Last 5: → Stable
84% match
€60.0M
#12
L
Luciano Valente
Feyenoord · Eredivisie
Italy22yContract 2030
KP/901.68
G/900.07
Box-to-BoxCreative
Last 5: ↓ Dip
83% match
€18.0M

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 Kian Fitz-Jim.

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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: Ramiz Zerrouki, Kees Smit, Oussama Targhalline, Jens Toornstra, Joey Veerman. 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 Ramiz Zerrouki (€7.2M), Kees Smit (€22.0M), Oussama Targhalline (€8.0M). 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 Ramiz Zerrouki (Algeria, €7.2M); Kees Smit (Netherlands, €22.0M); Oussama Targhalline (Morocco, €8.0M); 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.