RisingTransfers
AI DNA Similarity

Best Alternatives to Jordy Clasie

Players most similar to Jordy Clasie (Midfielder, €1.2M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Jordy Clasie

  1. 1.Jens Toornstra87% DNA match·Sparta Rotterdam€3.5M
  2. 2.Jerdy Schouten86% DNA match·PSV€22.0M
  3. 3.Mats Wieffer84% DNA match·Brighton & Hove Albion€25.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%

A Metronome....

See Full Verdict + Share Card →

Playing Style Analysis

MetronomeSmall Sample

A Metronome. Statistically, he stands out as a capable chance creator (1.4 key passes/90), active in the tackle (1.9 tackles/90), meticulous in distribution (89% pass accuracy), wins the physical battle (58% duel success), heavily involved in possession (66 passes/90), penetrates with forward passing (10.1 final-third passes/90), central to possession (76 touches/90), switches play with precision (5.4 long balls/90, 65% accuracy) and a high-intensity presser (press score 3.0/90), constantly disrupting opposition build-up. Note: this profile is based on 746 minutes of playing time this season. The three most similar players to Jordy Clasie by playing style are:

  • Jens Toornstra(87% match)A Creator. Statistically, he stands out as a capable chance creator (1.3 key passes/90), active in the tackle (2.4 tackles/90), heavily involved in play (54 touches/90), uses long balls frequently (6.0/90) and active off the ball (2.6 press score/90), contributing to defensive transitions. Note: this profile is based on 782 minutes of playing time this season.
  • Jerdy Schouten(86% match)Schouten is the kind of midfielder who makes a team's possession game feel inevitable rather than effortful—a metronome who rarely wastes a touch and almost never wastes a pass. His 92.3% pass accuracy and 75.3 passes per 90 both sit in the Eredivisie's top five percent, meaning he isn't just accurate, he's relentlessly active with the ball. The 10.32 passes into the final third per 90 is the counterintuitive number here: for a player who reads as a deep-lying anchor, he's consistently threading the needle forward, ranking top ten in the league.
  • Mats Wieffer(84% match)A Ball-Winner. Statistically, he stands out as a reliable supplier (0.15 assists/90), an aggressive ball-winner (3.2 tackles/90), wins the ball cleanly (1.9 successful tackles/90), heavily involved in play (68 touches/90), active off the ball (2.9 press score/90), contributing to defensive transitions and top 10% tackler in the league.

Transfer Intelligence

Jens Toornstra delivers 87% of the same playing style, at a 192% premium over Jordy Clasie, with 1.27 key passes per 90 at age 37.

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

J
Comparison Base
Jordy Clasie
MidfielderNetherlands€1.2M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
J
Jens Toornstra
Sparta Rotterdam · Eredivisie
Netherlands37y
KP/901.27
G/900.00
CreatorSmall Sample
Last 5: ↓ Dip
vs Clasie: 3y older
87% match
€3.5M
#2
J
Jerdy Schouten
PSV · Eredivisie
Netherlands29yContract 2030
KP/900.91
G/900.04
Metronome
Last 5: → Stable
vs Clasie: €21M more expensive · 5y younger
86% match
€22.0M
#3
M
Mats Wieffer
Brighton & Hove Albion · Premier League
Netherlands26yContract 2029
KP/900.99
G/900.10
Ball-WinnerDefensive
Last 5: ↓ Dip
vs Clasie: €24M more expensive · 8y younger
84% match
€25.0M
#4
K
Kees Smit
AZ · Eredivisie
Netherlands20yContract 2028
KP/901.56
G/900.13
Box-to-BoxCreative
Last 5: → Stable
84% match
€22.0M
#5
R
Ramiz Zerrouki
FC Twente · Eredivisie
Algeria27y
KP/901.56
G/900.11
MetronomeCreative
Last 5: ↑ Hot
84% match
€7.2M
#6
V
Valentin Rongier  
Rennes · Ligue 1
France31yContract 2028
KP/901.08
G/900.08
Metronome
Last 5: ↓ Dip
84% match
€9.0M
#7
S
Stanislav Lobotka
Napoli · Serie A
Slovakia31yContract 2027
KP/900.54
G/900.06
Last 5: ↓ Dip
84% match
€18.0M
#8
J
Joey Veerman
PSV · Eredivisie
Netherlands27yContract 2028
KP/903.64
G/900.31
CreatorCreative
Last 5: ↓ Dip
83% match
€27.0M
#9
P
Peer Koopmeiners
AZ · Eredivisie
Netherlands26yContract 2028
KP/901.10
G/900.09
Ball-WinnerDefensive
Last 5: → Stable
83% match
€10.0M
#10
K
Kodai Sano
Japan · Eredivisie
Japan22yContract 2028
KP/901.49
G/900.09
Box-to-Box
Last 5: → Stable
82% match
€6.0M
#11
L
Luciano Valente
Feyenoord · Eredivisie
Italy22yContract 2030
KP/901.68
G/900.07
Box-to-BoxCreative
Last 5: ↓ Dip
82% match
€18.0M
#12
T
Teun Koopmeiners
Juventus · Serie A
Netherlands28yContract 2029
KP/900.72
G/900.24
Chance Creator
Last 5: → Stable
83% match
€28.0M

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 Jordy Clasie.

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Frequently Asked Questions

Who are the best alternatives to Jordy Clasie?
The top alternatives to Jordy Clasie based on AI DNA playing style analysis include: Jens Toornstra, Jerdy Schouten, Mats Wieffer, Kees Smit, Ramiz Zerrouki. 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 Jordy Clasie in 2026?
Players with a similar profile to Jordy Clasie in 2026 include Jens Toornstra (€3.5M), Jerdy Schouten (€22.0M), Mats Wieffer (€25.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Jordy Clasie play and who plays similarly?
Jordy Clasie plays as a Midfielder. Players with a comparable positional profile include Jens Toornstra (Netherlands, €3.5M); Jerdy Schouten (Netherlands, €22.0M); Mats Wieffer (Netherlands, €25.0M); Kees Smit (Netherlands, €22.0M).
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.