RisingTransfers
AI DNA Similarity

Best Alternatives to Sven Mijnans

Players most similar to Sven Mijnans (Midfielder, €14.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Sven Mijnans

  1. 1.Joey Veerman87% DNA match·PSV€27.0M
  2. 2.Sem Steijn86% DNA match·Feyenoord€14.0M
  3. 3.Ismael Saibari86% DNA match·PSV€32.0M

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

RT

Intelligence Verdict

ShotsTop 4%
???Bottom 5%

A Creator....

See Full Verdict + Share Card →

Playing Style Analysis

CreatorCreative

A Creator. Statistically, he stands out as naturally left-footed, an elite creator (2.0 key passes/90), a constant goal threat (3.2 shots/90), a proven goalscorer (0.40 goals/90), a reliable supplier (0.20 assists/90), heavily involved in play (61 touches/90), active off the ball (2.2 press score/90), contributing to defensive transitions and top 20% creator in the league. The three most similar players to Sven Mijnans by playing style are:

  • Joey Veerman(87% match)A Creator. Statistically, he stands out as an elite creator (3.6 key passes/90), a regular goalscorer (0.31 goals/90), a prolific assist provider (0.54 assists/90), active in the tackle (2.2 tackles/90), meticulous in distribution (86% pass accuracy), wins the physical battle (56% duel success), heavily involved in possession (74 passes/90), creates high-quality scoring opportunities (0.96 big chances/90), penetrates with forward passing (13.7 final-third passes/90), central to possession (95 touches/90), uses long balls frequently (8.2/90), active off the ball (2.7 press score/90), contributing to defensive transitions and top 10% creator in the league.
  • Sem Steijn(86% match)A Creator. Statistically, he stands out as an elite creator (2.6 key passes/90), a constant goal threat (3.1 shots/90), a proven goalscorer (0.58 goals/90), a reliable supplier (0.17 assists/90), creates high-quality scoring opportunities (0.66 big chances/90) and top 10% creator in the league.
  • Ismael Saibari(86% match)A Creator. Statistically, he stands out as an elite creator (2.2 key passes/90), a constant goal threat (3.8 shots/90), a proven goalscorer (0.63 goals/90), a prolific assist provider (0.34 assists/90), heavily involved in play (62 touches/90) and top 10% creator in the league. However, he loses possession under pressure (1.6 dispossessed/90).

Transfer Intelligence

Joey Veerman delivers 87% of the same playing style, at a 93% premium over Sven Mijnans, with 3.64 key passes per 90 at age 27.

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

S
Comparison Base
Sven Mijnans
MidfielderNetherlands€14.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
J
Joey Veerman
PSV · Eredivisie
Netherlands27yContract 2028
KP/903.64
G/900.31
CreatorCreative
Last 5: ↓ Dip
vs Mijnans: €13M more expensive
87% match
€27.0M
#2
S
Sem Steijn
Feyenoord · Eredivisie
Netherlands24yContract 2029
KP/902.65
G/900.58
CreatorCreative
vs Mijnans: 2y younger
86% match
€14.0M
#3
I
Ismael Saibari
PSV · Eredivisie
Morocco25yContract 2029
KP/902.20
G/900.63
CreatorCreative
Last 5: → Stable
vs Mijnans: €18M more expensive
86% match
€32.0M
#4
T
Tijjani Reijnders
Manchester City · Premier League
Netherlands27yContract 2030
KP/901.04
G/900.29
Last 5: → Stable
85% match
€60.0M
#5
G
Guus Til
PSV · Eredivisie
Netherlands28yContract 2028
KP/901.78
G/900.54
CreatorCreative
Last 5: → Stable
85% match
€15.0M
#6
P
Peer Koopmeiners
AZ · Eredivisie
Netherlands26yContract 2028
KP/901.10
G/900.09
Ball-WinnerDefensive
Last 5: → Stable
86% match
€10.0M
#7
K
Kodai Sano
Japan · Eredivisie
Japan22yContract 2028
KP/901.49
G/900.09
Box-to-Box
Last 5: → Stable
85% match
€6.0M
#8
K
Kees Smit
AZ · Eredivisie
Netherlands20yContract 2028
KP/901.56
G/900.13
Box-to-BoxCreative
Last 5: → Stable
85% match
€22.0M
#9
L
Luciano Valente
Feyenoord · Eredivisie
Italy22yContract 2030
KP/901.68
G/900.07
Box-to-BoxCreative
Last 5: ↓ Dip
84% match
€18.0M
#10
R
Ramiz Zerrouki
FC Twente · Eredivisie
Algeria27y
KP/901.56
G/900.11
MetronomeCreative
Last 5: ↑ Hot
84% match
€7.2M
#11
K
Kian Fitz-Jim
Ajax · Eredivisie
Netherlands22yContract 2027
KP/900.70
G/900.17
MetronomeDefensive
Last 5: → Stable
84% match
€3.5M
#12
O
Oussama Targhalline
Feyenoord · Eredivisie
Morocco23yContract 2028
KP/900.94
G/900.10
Ball-WinnerDefensive
Last 5: ↑ Hot
84% match
€8.0M

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 Sven Mijnans.

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Frequently Asked Questions

Who are the best alternatives to Sven Mijnans?
The top alternatives to Sven Mijnans based on AI DNA playing style analysis include: Joey Veerman, Sem Steijn, Ismael Saibari, Tijjani Reijnders, Guus Til. 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 Sven Mijnans in 2026?
Players with a similar profile to Sven Mijnans in 2026 include Joey Veerman (€27.0M), Sem Steijn (€14.0M), Ismael Saibari (€32.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Sven Mijnans play and who plays similarly?
Sven Mijnans plays as a Midfielder. Players with a comparable positional profile include Joey Veerman (Netherlands, €27.0M); Sem Steijn (Netherlands, €14.0M); Ismael Saibari (Morocco, €32.0M); Tijjani Reijnders (Netherlands, €60.0M).
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.