AI DNA Similarity
Best Alternatives to Sam Beukema
Players most similar to Sam Beukema (Defender, €28.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Sam Beukema
- 1.Jan Paul van Hecke87% DNA match·Brighton & Hove Albion€35.0M
- 2.Danilho Doekhi85% DNA match·FC Union Berlin€13.0M
- 3.Anel Ahmedhodzic85% DNA match·Feyenoord€12.0M
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
Chances MissedTop 0%
???Bottom 22%
“A Ball-Playing CB....”
See Full Verdict + Share Card →Playing Style Analysis
Ball-Playing CBBall-PlayingAerialSmall Sample
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. The three most similar players to Sam Beukema by playing style are:
- Jan Paul van Hecke(87% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.3 clearances/90), meticulous in distribution (87% pass accuracy), wins the physical battle (61% duel success), heavily involved in possession (70 passes/90), penetrates with forward passing (10.7 final-third passes/90), central to possession (84 touches/90), strong in aerial duels (3.1 aerials won/90) and uses long balls frequently (7.7/90).
- Danilho Doekhi(85% match) — A Physical Stopper. Statistically, he stands out as a regular goalscorer (0.33 goals/90), commanding in the air (5.3 clearances/90), wins the physical battle (62% duel success), dominant in the air (4.8 aerials won/90, 63%) and uses long balls frequently (7.5/90). Note: this profile is based on 540 minutes of playing time this season.
- Anel Ahmedhodzic(85% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.0 clearances/90), reads the game exceptionally (1.6 interceptions/90), meticulous in distribution (91% pass accuracy), wins the physical battle (60% duel success), central to possession (72 touches/90) and active off the ball (2.3 press score/90), contributing to defensive transitions.
Transfer Intelligence
Jan Paul van Hecke delivers 87% of the same playing style, at a 25% premium over Sam Beukema, with 1.54 tackles won per 90 at age 25.
Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →
Similar Players — Ranked by DNA Similarity
#1
J
Jan Paul van Hecke
Brighton & Hove Albion · Premier League
Netherlands25yContract 2027
Tkl/901.54
KP/900.36
Ball-Playing CBBall-Playing
Last 5: → Stablevs Beukema: €7M more expensive · 2y younger
87% match
€35.0M
#2
D
Danilho Doekhi
FC Union Berlin · Bundesliga
Netherlands27yContract 2026
Tkl/901.00
KP/900.29
Physical StopperAerial
vs Beukema: €15M cheaper
85% match
€13.0M
#3
A
Anel Ahmedhodzic
Feyenoord · Eredivisie
Bosnia and Herzegovina27yContract 2029
Tkl/901.10
KP/900.53
Ball-Playing CBBall-Playing
Last 5: → Stablevs Beukema: €16M cheaper
85% match
€12.0M
#4
V
Victor Nelsson
Hellas Verona · Serie A
Denmark27yContract 2026
Tkl/902.28
KP/900.06
Physical StopperAerial
Last 5: ↑ Hot85% match
€7.5M
#5
J
Josip Sutalo
Ajax · Eredivisie
Croatia26yContract 2028
Tkl/900.65
KP/900.05
Ball-Playing CBBall-Playing
Last 5: ↓ Dip86% match
€17.0M
#6
B
Bremer
Juventus · Serie A
Brazil29yContract 2029
Tkl/901.03
KP/900.21
Ball-Playing CBBall-Playing
Last 5: ↑ Hot86% match
€35.0M
#7
O
Odilon Kossounou
Atalanta · Serie A
Ivory Coast25yContract 2029
Tkl/901.33
KP/900.11
Ball-Playing CBBall-Playing
Last 5: → Stable85% match
€22.0M
#8
T
Thomas Kristensen
Udinese · Serie A
Denmark24yContract 2028
Tkl/901.08
KP/900.08
Physical StopperAerial
Last 5: ↓ Dip85% match
€12.0M
#9
N
Nicolò Bertola
Udinese · Serie A
Italy23yContract 2030
Tkl/901.78
KP/900.49
Solid DefenderAerial
85% match
€6.0M
#10
J
Jay Idzes
Sassuolo · Serie A
Netherlands25yContract 2029
Tkl/900.86
KP/900.10
Ball-Playing CBAerial
Last 5: ↓ Dip84% match
€10.0M
#11
M
Manuel Akanji
Inter · Serie A
Switzerland30yContract 2026
Tkl/901.47
KP/900.20
Ball-Playing CBBall-Playing
Last 5: ↓ Dip84% match
€22.0M
#12
C
Calvin Bassey
Fulham · Premier League
Nigeria26yContract 2027
Tkl/902.22
KP/900.34
Ball-Playing CBBall-Playing
Last 5: → Stable84% 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 Sam Beukema.
Ask AI about Sam Beukema →Frequently Asked Questions
Who are the best alternatives to Sam Beukema?▼
The top alternatives to Sam Beukema based on AI DNA playing style analysis include: Jan Paul van Hecke, Danilho Doekhi, Anel Ahmedhodzic, Victor Nelsson, Josip Sutalo. 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 Sam Beukema in 2026?▼
Players with a similar profile to Sam Beukema in 2026 include Jan Paul van Hecke (€35.0M), Danilho Doekhi (€13.0M), Anel Ahmedhodzic (€12.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Sam Beukema play and who plays similarly?▼
Sam Beukema plays as a Defender. Players with a comparable positional profile include Jan Paul van Hecke (Netherlands, €35.0M); Danilho Doekhi (Netherlands, €13.0M); Anel Ahmedhodzic (Bosnia and Herzegovina, €12.0M); Victor Nelsson (Denmark, €7.5M).
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.