AI DNA Similarity

Best Alternatives to Guus Joppen

Players most similar to Guus Joppen (Defender, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Playing Style Analysis

A Ball-Playing CB in KNVB Beker. Statistically, he stands out as meticulous in distribution (87% pass accuracy). The three most similar players to Guus Joppen by playing style are:

  • Jarno Janssen(95% match)A Ball-Playing CB in KNVB Beker. Statistically, he stands out as an aggressive ball-winner (2.
  • Saïdou Sow(94% match)A Ball-Playing CB in Coupe de France. Statistically, he stands out as meticulous in distribution (91% pass accuracy).
  • Mawouna Amevor(93% match)A Ball-Playing CB in Eredivisie. Statistically, he stands out as commanding in the air (5.

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

G
Comparison Base
Guus Joppen
DefenderNetherlandsN/A
Full profile →

Similar Players — Ranked by DNA Similarity

#1
J
Jarno Janssen
IJsselmeervogels · Eredivisie
Netherlands25y
Tkl/902.59
KP/900.38
Ball-Playing CBAerial
95% match
N/A
#2
S
Saïdou Sow
Clermont · Ligue 1
Guinea23yContract 2028
Tkl/900.97
KP/900.21
Ball-Playing CBBall-Playing
Last 5: → Stable
94% match
€3.0M
#3
M
Mawouna Amevor
FC Volendam · Eredivisie
Togo34y
Tkl/900.85
KP/900.30
Ball-Playing CBAerial
Last 5: → Stable
93% match
N/A
#4
N
Nick Viergever
FC Utrecht · Eredivisie
Netherlands36y
Tkl/901.13
KP/900.05
Ball-Playing CBAerial
Last 5: → Stable
93% match
€300K
#5
M
Mees Hilgers
FC Twente · Eredivisie
Netherlands24y
Tkl/902.60
KP/900.24
Ball-Playing CB
93% match
N/A
#6
P
Pawel Bochniewicz
SC Heerenveen · Eredivisie
Poland30y
Tkl/901.03
KP/900.52
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
93% match
€1.4M
#7
G
Gabin Blancquart
VVV-Venlo · Eredivisie
France22yContract 2026
Tkl/901.25
KP/900.25
Ball-Playing CBAerial
Last 5: → Stable
93% match
N/A
#8
D
Dies Janse
FC Groningen · Eredivisie
Netherlands20y
Tkl/901.20
KP/900.47
Ball-Playing CBAerial
Last 5: ↑ Hot
93% match
N/A
#9
D
Damon Mirani
Heracles Almelo · Eredivisie
Netherlands29y
Tkl/901.13
KP/900.12
Ball-Playing CBAerial
Last 5: ↑ Hot
93% match
N/A
#10
T
Thijmen Blokzijl
FC Groningen · Eredivisie
Netherlands21y
Tkl/901.15
KP/900.30
Ball-Playing CBBall-Playing
Last 5: → Stable
93% match
N/A
#11
N
Nick Verschuren
FC Volendam · Eredivisie
Netherlands21y
Tkl/900.84
KP/900.34
Ball-Playing CBAerial
Last 5: ↑ Hot
93% match
N/A
#12
A
Alexandre Penetra
AZ · Eredivisie
Portugal24yContract 2028
Tkl/901.43
KP/900.28
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
93% match
€9.0M

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 Guus Joppen.

Ask AI about Guus Joppen

Frequently Asked Questions

Who are the best alternatives to Guus Joppen?
The top alternatives to Guus Joppen based on AI DNA playing style analysis include: Jarno Janssen, Saïdou Sow, Mawouna Amevor, Nick Viergever, Mees Hilgers. 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 Guus Joppen in 2026?
Players with a similar profile to Guus Joppen in 2026 include Jarno Janssen (N/A), Saïdou Sow (€3.0M), Mawouna Amevor (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Guus Joppen play and who plays similarly?
Guus Joppen plays as a Defender. Players with a comparable positional profile include Jarno Janssen (Netherlands, N/A); Saïdou Sow (Guinea, €3.0M); Mawouna Amevor (Togo, N/A); Nick Viergever (Netherlands, €300K).
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.