AI DNA Similarity
Best Alternatives to Damian van der Haar
Players most similar to Damian van der Haar (Defender, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
A Solid Defender in Eredivisie. The three most similar players to Damian van der Haar by playing style are:
- Dean James(95% match) — A Solid Defender in Eredivisie. Statistically, he stands out as a capable chance creator (1.4 key passes/90) and active in the tackle (1.8 tackles/90).
- Ivan Mesik(94% match) — A Solid Defender in Eredivisie. Statistically, he stands out as commanding in the air (5.0 clearances/90) and active off the ball (2.0 press score/90), contributing to defensive transitions.
- Boy Kemper(93% match) — A Solid Defender in Eredivisie. Statistically, he stands out as a capable chance creator (1.2 key passes/90), uses long balls frequently (5.3/90) and active off the ball (2.1 press score/90), contributing to defensive transitions.
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
D
Dean James
Go Ahead Eagles · Eredivisie
Netherlands25yContract 2028
Tkl/901.67
KP/901.30
Solid Defender
Last 5: ↑ Hot95% match
N/A
#2
I
Ivan Mesik
Heracles Almelo · Eredivisie
Slovakia24y
Tkl/901.43
KP/900.50
Solid DefenderAerial
Last 5: → Stable94% match
N/A
#3
B
Boy Kemper
NAC Breda · Eredivisie
Netherlands26y
Tkl/901.49
KP/901.25
Solid Defender
Last 5: → Stable93% match
N/A
#4
D
Dean van der Sluys
Kozakken Boys · Eredivisie
Netherlands30y
Tkl/901.49
KP/900.87
Solid Defender
93% match
N/A
#5
N
Noah Barholt Rasmussen
Middelfart · Superliga
Denmark19y
Tkl/901.47
KP/900.42
Solid Defender
Last 5: ↑ Hot93% match
N/A
#6
M
Marius Elvius
Hvidovre · Superliga
Denmark23y
Tkl/901.17
KP/900.65
Solid Defender
Last 5: → Stable93% match
N/A
#7
R
Rasmus Brodersen
HB Køge · Superliga
Denmark23y
Tkl/900.63
KP/900.63
Solid Defender
Last 5: ↑ Hot93% match
N/A
#8
L
Leonie Vliek
FC Twente W · Eredivisie
Netherlands25y
Tkl/901.54
KP/900.90
Solid DefenderSmall Sample
92% match
N/A
#9
B
Boyd Lucassen
NAC Breda · Eredivisie
Netherlands27y
Tkl/901.41
KP/900.83
Active Full-Back
Last 5: → Stable92% match
N/A
#10
T
Tristan Gooijer
PEC Zwolle · Eredivisie
Netherlands21y
Tkl/902.58
KP/900.45
Aerial
Last 5: ↑ Hot91% match
N/A
#11
C
Cherrion Valerius
NAC Breda · Eredivisie
Netherlands20y
Tkl/902.08
KP/900.59
91% match
N/A
#12
A
Arthur Zagré
Excelsior · Eredivisie
France24yContract 2026
Tkl/902.29
KP/900.56
91% match
€10.0M
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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 Damian van der Haar.
Ask AI about Damian van der Haar →Frequently Asked Questions
Who are the best alternatives to Damian van der Haar?▼
The top alternatives to Damian van der Haar based on AI DNA playing style analysis include: Dean James, Ivan Mesik, Boy Kemper, Dean van der Sluys, Noah Barholt Rasmussen. 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 Damian van der Haar in 2026?▼
Players with a similar profile to Damian van der Haar in 2026 include Dean James (N/A), Ivan Mesik (N/A), Boy Kemper (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Damian van der Haar play and who plays similarly?▼
Damian van der Haar plays as a Defender. Players with a comparable positional profile include Dean James (Netherlands, N/A); Ivan Mesik (Slovakia, N/A); Boy Kemper (Netherlands, N/A); Dean van der Sluys (Netherlands, N/A).
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.