RisingTransfers
AI DNA Similarity

Best Alternatives to P. Schuurs

Players most similar to P. Schuurs (Defender, €1.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to P. Schuurs

  1. 1.Sam Beukema86% DNA match·Napoli€28.0M
  2. 2.Odilon Kossounou85% DNA match·Atalanta€22.0M
  3. 3.Manuel Akanji85% DNA match·Inter€22.0M

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

RT

Intelligence Verdict

GoalsTop 17%
???Bottom 7%

A Ball-Playing CB....

See Full Verdict + Share Card →

Playing Style Analysis

Ball-Playing CBSmall Sample

A Ball-Playing CB. Statistically, he stands out as active in the tackle (2.3 tackles/90), meticulous in distribution (89% pass accuracy), wins the physical battle (58% duel success) and top 10% tackler in the league. Note: this profile is based on 771 minutes of playing time this season. The three most similar players to P. Schuurs by playing style are:

  • Sam Beukema(86% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (4.0 clearances/90), meticulous in distribution (89% pass accuracy), heavily involved in possession (68 passes/90), central to possession (78 touches/90) and uses long balls frequently (5.9/90). Note: this profile is based on 782 minutes of playing time this season.
  • Odilon Kossounou(85% match)Kossounou has carved out a rare niche in Serie A's defensive landscape: a centre-back who builds play with the precision of a deep-lying midfielder while quietly contributing to the scoresheet. His 92.7% pass accuracy places him in the top 5% of defenders in the division—not just neat sideways passes, but 5.27 progressive balls into the final third per 90, suggesting genuine intent to break lines. His goal contribution rate sits in the top 20%, a counterintuitive figure that reveals an underrated offensive threat from set-pieces that opponents routinely underestimate.
  • Manuel Akanji(85% match)Akanji builds play with the precision of a midfielder wearing a centre-back's shirt—his 92.2% pass accuracy sits in the top 10% of Serie A defenders, and his 67.5 passes per 90 ranks in the top 5%, making him one of the league's most active distributors from deep. His 6.43 passes into the final third per 90 places him in the top 20%, meaning his value isn't just in keeping possession clean but in genuinely advancing it. The counterintuitive read here: his aerial win rate of 44.1% looks soft, yet he wins 1.62 aerials per 90 above the positional average—he's simply not seeking duels he can avoid, which speaks to intelligence rather than deficiency.

Transfer Intelligence

Sam Beukema delivers 86% of the same playing style, at a 2700% premium over P. Schuurs, with 1.04 tackles won per 90 at age 27.

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

P
Comparison Base
P. Schuurs
DefenderNetherlands€1.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
S
Sam Beukema
Napoli · Serie A
Netherlands27yContract 2030
Tkl/901.04
KP/900.34
Ball-Playing CBBall-Playing
vs Schuurs: €27M more expensive
86% match
€28.0M
#2
O
Odilon Kossounou
Atalanta · Serie A
Ivory Coast25yContract 2029
Tkl/901.33
KP/900.11
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Schuurs: €21M more expensive
85% match
€22.0M
#3
M
Manuel Akanji
Inter · Serie A
Switzerland30yContract 2026
Tkl/901.47
KP/900.20
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
vs Schuurs: €21M more expensive · 4y older
85% match
€22.0M
#4
F
Federico Baschirotto
Cremonese · Serie A
Italy29y
Tkl/901.18
KP/900.00
Ball-Playing CBAerial
84% match
€4.0M
#5
B
Bremer
Juventus · Serie A
Brazil29yContract 2029
Tkl/901.03
KP/900.21
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
85% match
€35.0M
#6
B
Bram Nuytinck
NEC Nijmegen · Eredivisie
Netherlands36y
Tkl/901.08
KP/900.00
Ball-Playing CBBall-Playing
Last 5: → Stable
84% match
€3.0M
#7
J
Jamil Siebert
Lecce · Serie A
Germany24yContract 2028
Tkl/901.63
KP/900.25
Physical StopperAerial
Last 5: ↓ Dip
85% match
€4.5M
#8
F
Federico Gatti
Juventus · Serie A
Italy27yContract 2028
Tkl/901.02
KP/900.20
Ball-Playing CBBall-Playing
85% match
€20.0M
#9
S
Strahinja Pavlović
AC Milan · Serie A
Serbia24yContract 2028
Tkl/901.66
KP/900.51
Ball-Playing CBSmall Sample
Last 5: ↑ Hot
85% match
€28.0M
#10
T
Thomas Kristensen
Udinese · Serie A
Denmark24yContract 2028
Tkl/901.08
KP/900.08
Physical StopperAerial
Last 5: ↓ Dip
85% match
€12.0M
#11
S
Sebastian Walukiewicz
Sassuolo · Serie A
Poland26yContract 2026
Tkl/901.58
KP/900.59
Last 5: → Stable
84% match
€4.5M
#12
G
Giorgio Scalvini
Atalanta · Serie A
Italy22yContract 2028
Tkl/902.06
KP/900.72
Ball-Playing CBBall-Playing
Last 5: → Stable
84% match
€25.0M

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 P. Schuurs.

Ask AI about P. Schuurs

Frequently Asked Questions

Who are the best alternatives to P. Schuurs?
The top alternatives to P. Schuurs based on AI DNA playing style analysis include: Sam Beukema, Odilon Kossounou, Manuel Akanji, Federico Baschirotto, Bremer. 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 P. Schuurs in 2026?
Players with a similar profile to P. Schuurs in 2026 include Sam Beukema (€28.0M), Odilon Kossounou (€22.0M), Manuel Akanji (€22.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does P. Schuurs play and who plays similarly?
P. Schuurs plays as a Defender. Players with a comparable positional profile include Sam Beukema (Netherlands, €28.0M); Odilon Kossounou (Ivory Coast, €22.0M); Manuel Akanji (Switzerland, €22.0M); Federico Baschirotto (Italy, €4.0M).
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.