AI DNA Similarity
Best Alternatives to Peter Ankersen
Players most similar to Peter Ankersen (Defender, €1.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Peter Ankersen
- 1.Rasmus Kristensen86% DNA match·Eintracht Frankfurt€14.0M
- 2.M. Jensen85% DNA match·Sønderjyske Fodbold€12.0M
- 3.Joachim Andersen84% DNA match·Fulham€25.0M
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
ShotsTop 3%
???Bottom 14%
“A Ball-Playing CB....”
See Full Verdict + Share Card →Playing Style Analysis
Ball-Playing CBBall-Playing
A Ball-Playing CB. Statistically, he stands out as meticulous in distribution (87% pass accuracy), heavily involved in possession (72 passes/90), penetrates with forward passing (9.6 final-third passes/90), central to possession (94 touches/90), uses long balls frequently (6.8/90) and active off the ball (2.4 press score/90), contributing to defensive transitions. The three most similar players to Peter Ankersen by playing style are:
- Rasmus Kristensen(86% match) — A Active Full-Back. Statistically, he stands out as active in the tackle (2.5 tackles/90), commanding in the air (4.4 clearances/90), reads the game exceptionally (1.5 interceptions/90), wins the physical battle (55% duel success), penetrates with forward passing (9.0 final-third passes/90), central to possession (80 touches/90), uses long balls frequently (5.7/90), a high-intensity presser (press score 3.3/90), constantly disrupting opposition build-up and top 10% tackler in the league. Note: this profile is based on 761 minutes of playing time this season.
- M. Jensen(85% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (7.4 clearances/90), meticulous in distribution (85% pass accuracy), wins the physical battle (63% duel success), dominant in the air (3.2 aerials won/90, 64%) and uses long balls frequently (7.7/90).
- Joachim Andersen(84% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (7.2 clearances/90), meticulous in distribution (86% pass accuracy), wins the physical battle (63% duel success), heavily involved in possession (71 passes/90), penetrates with forward passing (10.1 final-third passes/90), central to possession (86 touches/90), uses long balls frequently (11.3/90) and active off the ball (2.0 press score/90), contributing to defensive transitions.
Transfer Intelligence
Rasmus Kristensen delivers 86% of the same playing style, at a 1300% premium over Peter Ankersen, with 2.39 tackles won per 90 at age 28.
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
Rasmus Kristensen
Eintracht Frankfurt · Bundesliga
Denmark28yContract 2029
Tkl/902.39
KP/900.80
Active Full-BackAerial
vs Ankersen: €13M more expensive · 7y younger
86% match
€14.0M
#2
M
M. Jensen
Sønderjyske Fodbold · Superliga
Denmark29yContract 2026
Tkl/900.87
KP/900.13
Ball-Playing CBBall-Playing
Last 5: → Stablevs Ankersen: €11M more expensive · 6y younger
85% match
€12.0M
#3
J
Joachim Andersen
Fulham · Premier League
Denmark29yContract 2029
Tkl/901.41
KP/900.22
Ball-Playing CBBall-Playing
Last 5: → Stablevs Ankersen: €24M more expensive · 6y younger
84% match
€25.0M
#4
S
Sebastian Sebulonsen
FC Köln · Bundesliga
Norway26yContract 2028
Tkl/900.81
KP/900.46
AerialSmall Sample
84% match
€5.5M
#5
A
Andreas Hanche-Olsen
FSV Mainz 05 · Bundesliga
Norway29yContract 2028
Tkl/901.05
KP/900.21
Ball-Playing CBAerial
84% match
€5.0M
#6
M
Marcus Pedersen
Torino · Serie A
Norway25yContract 2027
Tkl/900.93
KP/900.62
Small Sample
83% match
€3.5M
#7
T
Thomas Kristensen
Udinese · Serie A
Denmark24yContract 2028
Tkl/901.08
KP/900.08
Physical StopperAerial
Last 5: ↓ Dip83% match
€12.0M
#8
K
Kristoffer Lund
FC Köln · Bundesliga
Denmark23yContract 2026
Tkl/901.27
KP/900.91
Active Full-BackAerial
83% match
€4.0M
#9
G
Gustaf Lagerbielke
Sporting Braga · Liga Portugal
Sweden26yContract 2030
Tkl/901.02
KP/900.31
Ball-Playing CBBall-Playing
Last 5: ↑ Hot83% match
€5.0M
#10
M
Mitchell Weiser
Werder Bremen · Bundesliga
Germany32yContract 2024
Tkl/901.97
KP/901.29
Active Full-Back
81% match
€3.5M
#11
R
Riccardo Calafiori
Arsenal · Premier League
Italy23yContract 2029
Tkl/901.81
KP/900.34
Active Full-Back
Last 5: → Stable81% match
€50.0M
#12
D
Denso Kasius
AZ · Eredivisie
Netherlands23yContract 2029
Tkl/901.29
KP/901.59
Active Full-Back
Last 5: ↑ Hot82% match
€6.0M
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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 Peter Ankersen.
Ask AI about Peter Ankersen →Frequently Asked Questions
Who are the best alternatives to Peter Ankersen?▼
The top alternatives to Peter Ankersen based on AI DNA playing style analysis include: Rasmus Kristensen, M. Jensen, Joachim Andersen, Sebastian Sebulonsen, Andreas Hanche-Olsen. 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 Peter Ankersen in 2026?▼
Players with a similar profile to Peter Ankersen in 2026 include Rasmus Kristensen (€14.0M), M. Jensen (€12.0M), Joachim Andersen (€25.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Peter Ankersen play and who plays similarly?▼
Peter Ankersen plays as a Defender. Players with a comparable positional profile include Rasmus Kristensen (Denmark, €14.0M); M. Jensen (Denmark, €12.0M); Joachim Andersen (Denmark, €25.0M); Sebastian Sebulonsen (Norway, €5.5M).
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.