RisingTransfers
AI DNA Similarity

Best Alternatives to Peer Koopmeiners

Players most similar to Peer Koopmeiners (Midfielder, €10.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Peer Koopmeiners

  1. 1.Teun Koopmeiners94% DNA match·Juventus€28.0M
  2. 2.Tijjani Reijnders88% DNA match·Manchester City€60.0M
  3. 3.Jerdy Schouten87% DNA match·PSV€22.0M

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

RT

Intelligence Verdict

Aerials WonTop 5%
???Bottom 19%

A Ball-Winner....

See Full Verdict + Share Card →

Playing Style Analysis

Ball-WinnerDefensive

A Ball-Winner. Statistically, he stands out as a capable chance creator (1.0 key passes/90), an aggressive ball-winner (3.3 tackles/90), wins the ball cleanly (2.0 successful tackles/90), heavily involved in play (61 touches/90), active off the ball (2.6 press score/90), contributing to defensive transitions and top 10% tackler in the league. The three most similar players to Peer Koopmeiners by playing style are:

  • Teun Koopmeiners(94% match)Koopmeiners is the rare midfielder who makes a team's build-up feel inevitable rather than effortful—a conductor who turns possession into progression with surgical consistency. His 91.1% pass accuracy places him in the top 10% of Serie A midfielders, but the more telling number is his 8.79 passes into the final third per 90, also top 10%—this isn't a recycler, it's a penetrator. His duel win rate of 51.4% reads as quietly above average, yet his tackling numbers tell a more honest story: he wins the ball through positioning and interception rather than aggression, making him vulnerable when pressed into direct defensive battles.
  • Tijjani Reijnders(88% match)A Midfielder. Statistically, he stands out as a capable chance creator (1.0 key passes/90), a constant goal threat (2.6 shots/90), a regular goalscorer (0.29 goals/90), meticulous in distribution (89% pass accuracy) and heavily involved in play (61 touches/90).
  • Jerdy Schouten(87% 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.

Transfer Intelligence

Teun Koopmeiners delivers 94% of the same playing style, at a 180% premium over Peer Koopmeiners, with 0.72 key passes per 90 at age 28.

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

P
Comparison Base
Peer Koopmeiners
MidfielderNetherlands€10.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
T
Teun Koopmeiners
Juventus · Serie A
Netherlands28yContract 2029
KP/900.72
G/900.24
Chance Creator
Last 5: → Stable
vs Koopmeiners: €18M more expensive · 2y older
94% match
€28.0M
#2
T
Tijjani Reijnders
Manchester City · Premier League
Netherlands27yContract 2030
KP/901.04
G/900.29
Last 5: → Stable
vs Koopmeiners: €50M more expensive
88% match
€60.0M
#3
J
Jerdy Schouten
PSV · Eredivisie
Netherlands29yContract 2030
KP/900.91
G/900.04
Metronome
Last 5: → Stable
vs Koopmeiners: €12M more expensive · 3y older
87% match
€22.0M
#4
J
Joey Veerman
PSV · Eredivisie
Netherlands27yContract 2028
KP/903.64
G/900.31
CreatorCreative
Last 5: ↓ Dip
87% match
€27.0M
#5
R
Ramiz Zerrouki
FC Twente · Eredivisie
Algeria27y
KP/901.56
G/900.11
MetronomeCreative
Last 5: ↑ Hot
86% match
€7.2M
#6
K
Kees Smit
AZ · Eredivisie
Netherlands20yContract 2028
KP/901.56
G/900.13
Box-to-BoxCreative
Last 5: → Stable
85% match
€22.0M
#7
S
Sem Steijn
Feyenoord · Eredivisie
Netherlands24yContract 2029
KP/902.65
G/900.58
CreatorCreative
86% match
€14.0M
#8
Y
Youri Regeer
Ajax · Eredivisie
Netherlands22yContract 2029
KP/900.43
G/900.00
Ball-WinnerDefensive
Last 5: ↓ Dip
86% match
€5.0M
#9
O
Oscar Gloukh
Ajax · Eredivisie
Israel22yContract 2030
KP/901.67
G/900.35
CreatorCreative
Last 5: → Stable
86% match
€18.0M
#10
S
Sven Mijnans
AZ · Eredivisie
Netherlands26yContract 2028
KP/902.03
G/900.40
CreatorCreative
Last 5: ↓ Dip
86% match
€14.0M
#11
K
Kodai Sano
Japan · Eredivisie
Japan22yContract 2028
KP/901.49
G/900.09
Box-to-Box
Last 5: → Stable
85% match
€6.0M
#12
L
Luciano Valente
Feyenoord · Eredivisie
Italy22yContract 2030
KP/901.68
G/900.07
Box-to-BoxCreative
Last 5: ↓ Dip
85% 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 Peer Koopmeiners.

Ask AI about Peer Koopmeiners

Frequently Asked Questions

Who are the best alternatives to Peer Koopmeiners?
The top alternatives to Peer Koopmeiners based on AI DNA playing style analysis include: Teun Koopmeiners, Tijjani Reijnders, Jerdy Schouten, Joey Veerman, 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 Peer Koopmeiners in 2026?
Players with a similar profile to Peer Koopmeiners in 2026 include Teun Koopmeiners (€28.0M), Tijjani Reijnders (€60.0M), Jerdy Schouten (€22.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Peer Koopmeiners play and who plays similarly?
Peer Koopmeiners plays as a Midfielder. Players with a comparable positional profile include Teun Koopmeiners (Netherlands, €28.0M); Tijjani Reijnders (Netherlands, €60.0M); Jerdy Schouten (Netherlands, €22.0M); Joey Veerman (Netherlands, €27.0M).
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.