AI DNA Similarity
Best Alternatives to Sepp van den Berg
Players most similar to Sepp van den Berg (Defender, €28.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Sepp van den Berg
- 1.Rav van den Berg93% DNA match·FC Köln€8.0M
- 2.Virgil van Dijk89% DNA match·Liverpool€18.0M
- 3.Ibrahima Konaté89% DNA match·Liverpool€50.0M
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
Aerials WonTop 1%
???Bottom 6%
“A Ball-Playing CB....”
See Full Verdict + Share Card →Playing Style Analysis
Ball-Playing CBAerial
A Ball-Playing CB. Statistically, he stands out as commanding in the air (6.2 clearances/90), meticulous in distribution (88% pass accuracy), wins the physical battle (66% duel success) and dominant in the air (4.6 aerials won/90, 68%). The three most similar players to Sepp van den Berg by playing style are:
- Rav van den Berg(93% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.5 clearances/90), meticulous in distribution (94% pass accuracy), wins the physical battle (58% duel success), heavily involved in possession (63 passes/90) and central to possession (74 touches/90). Note: this profile is based on 858 minutes of playing time this season.
- Virgil van Dijk(89% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (7.4 clearances/90), meticulous in distribution (89% pass accuracy), wins the physical battle (74% duel success), heavily involved in possession (74 passes/90), penetrates with forward passing (11.1 final-third passes/90), central to possession (86 touches/90), dominant in the air (4.5 aerials won/90, 73%) and uses long balls frequently (7.8/90).
- Ibrahima Konaté(89% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.6 clearances/90), meticulous in distribution (90% pass accuracy), wins the physical battle (68% duel success), heavily involved in possession (63 passes/90), central to possession (77 touches/90) and dominant in the air (3.6 aerials won/90, 67%).
Transfer Intelligence
Rav van den Berg delivers 93% of the same playing style, at 71% lower cost (€8.0M vs €28.0M), with 1.25 tackles won per 90 at age 21.
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
R
Rav van den Berg
FC Köln · Bundesliga
Netherlands21yContract 2030
Tkl/901.25
KP/900.00
Ball-Playing CBBall-Playing
vs Berg: €20M cheaper · 3y younger
93% match
€8.0M
#2
V
Virgil van Dijk
Liverpool · Premier League
Netherlands34yContract 2027
Tkl/900.61
KP/900.31
Ball-Playing CBBall-Playing
Last 5: ↓ Dipvs Berg: €10M cheaper · 10y older
89% match
€18.0M
#3
I
Ibrahima Konaté
Liverpool · Premier League
France26yContract 2026
Tkl/901.60
KP/900.22
Ball-Playing CBBall-Playing
Last 5: → Stablevs Berg: €22M more expensive · 2y older
89% match
€50.0M
#4
K
Kristoffer Ajer
Brentford · Premier League
Norway28yContract 2028
Tkl/901.87
KP/900.26
Physical StopperAerial
Last 5: ↓ Dip87% match
€18.0M
#5
J
Jan Paul van Hecke
Brighton & Hove Albion · Premier League
Netherlands25yContract 2027
Tkl/901.54
KP/900.36
Ball-Playing CBBall-Playing
Last 5: → Stable87% match
€35.0M
#6
C
Calvin Bassey
Fulham · Premier League
Nigeria26yContract 2027
Tkl/902.22
KP/900.34
Ball-Playing CBBall-Playing
Last 5: → Stable87% match
€28.0M
#7
K
Kevin Danso
Tottenham Hotspur · Premier League
Austria27yContract 2030
Tkl/901.84
KP/900.20
Ball-Playing CBBall-Playing
Last 5: → Stable87% match
€22.0M
#8
S
Sven Botman
Newcastle United · Premier League
Netherlands26yContract 2027
Tkl/901.03
KP/900.43
Ball-Playing CBBall-Playing
Last 5: → Stable87% match
€35.0M
#9
M
Micky van de Ven
Tottenham Hotspur · Premier League
Netherlands25yContract 2029
Tkl/901.26
KP/900.19
Ball-Playing CB
Last 5: → Stable86% match
€65.0M
#10
M
Marc Guéhi
Manchester City · Premier League
England25yContract 2026
Tkl/901.55
KP/900.45
Ball-Playing CBAerial
Last 5: → Stable86% match
€65.0M
#11
J
James Tarkowski
Everton · Premier League
England33yContract 2026
Tkl/901.31
KP/900.51
Physical StopperAerial
Last 5: → Stable86% match
€7.0M
#12
P
Pascal Struijk
Leeds United · Premier League
Netherlands26yContract 2027
Tkl/901.17
KP/900.38
Ball-Playing CBBall-Playing
Last 5: → Stable86% match
€22.0M
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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 Sepp van den Berg.
Ask AI about Sepp van den Berg →Frequently Asked Questions
Who are the best alternatives to Sepp van den Berg?▼
The top alternatives to Sepp van den Berg based on AI DNA playing style analysis include: Rav van den Berg, Virgil van Dijk, Ibrahima Konaté, Kristoffer Ajer, Jan Paul van Hecke. 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 Sepp van den Berg in 2026?▼
Players with a similar profile to Sepp van den Berg in 2026 include Rav van den Berg (€8.0M), Virgil van Dijk (€18.0M), Ibrahima Konaté (€50.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Sepp van den Berg play and who plays similarly?▼
Sepp van den Berg plays as a Defender. Players with a comparable positional profile include Rav van den Berg (Netherlands, €8.0M); Virgil van Dijk (Netherlands, €18.0M); Ibrahima Konaté (France, €50.0M); Kristoffer Ajer (Norway, €18.0M).
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.