AI DNA Similarity
Best Alternatives to Daan Rots
Players most similar to Daan Rots (Attacker, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
A Inside Forward. Statistically, he stands out as an elite creator (2.1 key passes/90), a constant goal threat (2.5 shots/90) and a regular goalscorer (0.38 goals/90). The three most similar players to Daan Rots by playing style are:
- Nico Williams(99% match) — A Inside Forward. Statistically, he stands out as an elite creator (1.9 key passes/90), a constant goal threat (2.5 shots/90), a regular goalscorer (0.27 goals/90) and a dynamic dribbler (3.2/90).
- Emirhan Demircan(99% match) — A Inside Forward. Statistically, he stands out as an elite creator (1.7 key passes/90) and a regular goalscorer (0.31 goals/90).
- Weslley Patati(99% match) — A Inside Forward. Statistically, he stands out as an elite creator (1.7 key passes/90), a constant goal threat (2.7 shots/90), a reliable supplier (0.15 assists/90) and draws fouls effectively (2.1/90).
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
N
Nico Williams
Athletic Club · La Liga
Spain23yContract 2035
G/900.27
A/900.14
Inside ForwardDribbler
99% match
€60.0M
#2
E
Emirhan Demircan
FC Utrecht · Eredivisie
Turkey21y
G/900.31
A/900.10
Inside Forward
Last 5: ↓ Dip99% match
N/A
#3
W
Weslley Patati
AZ · Eredivisie
Brazil22yContract 2030
G/900.15
A/900.15
Inside Forward
Last 5: ↓ Dip99% match
€7.5M
#4
S
Sondre Ørjasæter
FC Twente · Eredivisie
Norway22y
G/900.05
A/900.22
Inside ForwardDribbler
Last 5: ↑ Hot99% match
€5.0M
#5
J
Jamie Leweling
VfB Stuttgart · Bundesliga
Germany25yContract 2029
G/900.34
A/900.29
Inside Forward
Last 5: ↑ Hot99% match
€25.0M
#6
E
Ernest Poku
Bayer 04 Leverkusen · Bundesliga
Netherlands22yContract 2030
G/900.31
A/900.25
Inside Forward
Last 5: ↓ Dip98% match
€20.0M
#7
M
Mika Godts
Ajax · Eredivisie
Belgium20yContract 2029
G/900.58
A/900.37
Inside ForwardProlific
Last 5: ↓ Dip98% match
€15.0M
#8
V
Vinícius Lopes
Santa Clara · Liga Portugal
Brazil26yContract 2028
G/900.40
A/900.07
Inside ForwardProlific
Last 5: → Stable98% match
N/A
#9
T
Tai Abed
Levante · Eredivisie
Israel21y
G/900.42
A/900.24
Inside ForwardProlific
98% match
N/A
#10
T
Tom Watson
Millwall · Premier League
England19yContract 2029
G/900.29
A/900.00
Inside Forward
Last 5: ↓ Dip98% match
€10.0M
#11
A
Antony
Real Betis · La Liga
Brazil26yContract 2030
G/900.34
A/900.24
Inside Forward
Last 5: → Stable98% match
€95.0M
#12
D
Danny Namaso
Auxerre · Ligue 1
Cameroon25yContract 2026
G/900.14
A/900.09
Inside Forward
Last 5: ↑ Hot98% match
€5.0M
⬡
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 Daan Rots.
Ask AI about Daan Rots →Frequently Asked Questions
Who are the best alternatives to Daan Rots?▼
The top alternatives to Daan Rots based on AI DNA playing style analysis include: Nico Williams, Emirhan Demircan, Weslley Patati, Sondre Ørjasæter, Jamie Leweling. 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 Daan Rots in 2026?▼
Players with a similar profile to Daan Rots in 2026 include Nico Williams (€60.0M), Emirhan Demircan (N/A), Weslley Patati (€7.5M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Daan Rots play and who plays similarly?▼
Daan Rots plays as a Attacker. Players with a comparable positional profile include Nico Williams (Spain, €60.0M); Emirhan Demircan (Turkey, N/A); Weslley Patati (Brazil, €7.5M); Sondre Ørjasæter (Norway, €5.0M).
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.