RisingTransfers
AI DNA Similarity

Best Alternatives to Jens Toornstra

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

Top 3 Alternatives to Jens Toornstra

  1. 1.Jerdy Schouten85% DNA match·PSV€22.0M
  2. 2.Kees Smit84% DNA match·AZ€22.0M
  3. 3.Kian Fitz-Jim85% DNA match·Ajax€3.5M

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

RT

Intelligence Verdict

Press IntensityTop 22%
???Bottom 0%

A Creator....

See Full Verdict + Share Card →

Playing Style Analysis

CreatorSmall Sample

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. The three most similar players to Jens Toornstra by playing style are:

  • Jerdy Schouten(85% 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.
  • 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).
  • Kian Fitz-Jim(85% match)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.

Transfer Intelligence

Jerdy Schouten delivers 85% of the same playing style, at a 529% premium over Jens Toornstra, with 0.91 key passes per 90 at age 29.

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

J
Comparison Base
Jens Toornstra
MidfielderNetherlands€3.5M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
J
Jerdy Schouten
PSV · Eredivisie
Netherlands29yContract 2030
KP/900.91
G/900.04
Metronome
Last 5: → Stable
vs Toornstra: €19M more expensive · 8y younger
85% match
€22.0M
#2
K
Kees Smit
AZ · Eredivisie
Netherlands20yContract 2028
KP/901.56
G/900.13
Box-to-BoxCreative
Last 5: → Stable
vs Toornstra: €19M more expensive · 17y younger
84% match
€22.0M
#3
K
Kian Fitz-Jim
Ajax · Eredivisie
Netherlands22yContract 2027
KP/900.70
G/900.17
MetronomeDefensive
Last 5: → Stable
vs Toornstra: 15y younger
85% match
€3.5M
#4
S
Sem Steijn
Feyenoord · Eredivisie
Netherlands24yContract 2029
KP/902.65
G/900.58
CreatorCreative
84% match
€14.0M
#5
J
Joey Veerman
PSV · Eredivisie
Netherlands27yContract 2028
KP/903.64
G/900.31
CreatorCreative
Last 5: ↓ Dip
84% match
€27.0M
#6
R
Ramiz Zerrouki
FC Twente · Eredivisie
Algeria27y
KP/901.56
G/900.11
MetronomeCreative
Last 5: ↑ Hot
84% match
€7.2M
#7
K
Kodai Sano
Japan · Eredivisie
Japan22yContract 2028
KP/901.49
G/900.09
Box-to-Box
Last 5: → Stable
83% match
€6.0M
#8
M
Matej Sin
AZ · Eredivisie
Czech Republic21yContract 2030
KP/901.99
G/900.17
CreatorCreative
Last 5: ↑ Hot
84% match
€4.0M
#9
A
Ayoni Santos
Sparta Rotterdam · Eredivisie
Netherlands20yContract 2030
KP/901.03
G/900.00
CreatorDefensive
Last 5: ↓ Dip
83% match
€40.0M
#10
T
Tijjani Reijnders
Manchester City · Premier League
Netherlands27yContract 2030
KP/901.04
G/900.29
Last 5: → Stable
82% match
€60.0M
#11
D
Daan Huisman
FC Eindhoven · Eredivisie
Netherlands23yContract 2026
KP/901.20
G/900.00
Box-to-BoxCreative
Last 5: → Stable
82% match
N/A
#12
J
Jari Vandeputte
Cremonese · Serie A
Belgium30y
KP/903.00
G/900.00
CreatorCreative
82% match
€3.3M

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 Jens Toornstra.

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Frequently Asked Questions

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