RisingTransfers
AI DNA Similarity

Best Alternatives to Henrik Dalsgaard

Players most similar to Henrik Dalsgaard (Defender, €1.1M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Henrik Dalsgaard

  1. 1.Oliver Provstgaard87% DNA match·Lazio€4.5M
  2. 2.M. Jensen86% DNA match·Sønderjyske Fodbold€12.0M
  3. 3.Gustaf Lagerbielke85% DNA match·Sporting Braga€5.0M

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

RT

Intelligence Verdict

???Bottom 14%

Dalsgaard functions as the cerebral anchor of a backline...

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Playing Style Analysis

Ball-Playing CBBall-PlayingAerial

Dalsgaard functions as the cerebral anchor of a backline, blending high-volume distribution with an elite sense of defensive positioning that few in the Superliga can replicate. While his 83.5% pass accuracy seems standard, the real story lies in his 69.8 passes per 90; he isn't just a passenger, he is the primary initiator, operating in the top 10% of the league for ball involvement. His defensive output is equally proactive, ranking in the top 20% for both interceptions and aerials won, proving that his 46.2% aerial win rate is a product of high-frequency engagement rather than inefficiency. The three most similar players to Henrik Dalsgaard by playing style are:

  • Oliver Provstgaard(87% match)A Ball-Playing CB. Statistically, he stands out as naturally left-footed, commanding in the air (5.4 clearances/90), meticulous in distribution (91% pass accuracy), wins the physical battle (57% duel success), heavily involved in possession (60 passes/90), central to possession (72 touches/90), dominant in the air (3.3 aerials won/90, 60%) and uses long balls frequently (5.1/90). Note: this profile is based on 652 minutes of playing time this season.
  • M. Jensen(86% 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).
  • Gustaf Lagerbielke(85% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (4.3 clearances/90), meticulous in distribution (90% pass accuracy), wins the physical battle (60% duel success), heavily involved in possession (79 passes/90), penetrates with forward passing (10.5 final-third passes/90), central to possession (91 touches/90), dominant in the air (3.7 aerials won/90, 67%) and uses long balls frequently (7.1/90).

Transfer Intelligence

Oliver Provstgaard delivers 87% of the same playing style, at a 309% premium over Henrik Dalsgaard, with 0.55 tackles won per 90 at age 22.

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

H
Comparison Base
Henrik Dalsgaard
DefenderDenmark€1.1M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
O
Oliver Provstgaard
Lazio · Serie A
Denmark22yContract 2029
Tkl/900.55
KP/900.41
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
vs Dalsgaard: 14y younger
87% match
€4.5M
#2
M
M. Jensen
Sønderjyske Fodbold · Superliga
Denmark29yContract 2026
Tkl/900.87
KP/900.13
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Dalsgaard: €11M more expensive · 7y younger
86% match
€12.0M
#3
G
Gustaf Lagerbielke
Sporting Braga · Liga Portugal
Sweden26yContract 2030
Tkl/901.02
KP/900.31
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
vs Dalsgaard: 10y younger
85% match
€5.0M
#4
J
Joachim Andersen
Fulham · Premier League
Denmark29yContract 2029
Tkl/901.41
KP/900.22
Ball-Playing CBBall-Playing
Last 5: → Stable
85% match
€25.0M
#5
B
Bram Nuytinck
NEC Nijmegen · Eredivisie
Netherlands36y
Tkl/901.08
KP/900.00
Ball-Playing CBBall-Playing
Last 5: → Stable
84% match
€3.0M
#6
H
Hjalmar Ekdal
Burnley · Premier League
Sweden27yContract 2027
Tkl/901.40
KP/900.23
Ball-Playing CBAerial
Last 5: → Stable
84% match
€6.0M
#7
M
Mads Bech Sørensen
FC Midtjylland · Superliga
Denmark27yContract 2027
Tkl/900.92
KP/900.37
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
84% match
N/A
#8
T
Thomas Kristensen
Udinese · Serie A
Denmark24yContract 2028
Tkl/901.08
KP/900.08
Physical StopperAerial
Last 5: ↓ Dip
84% match
€12.0M
#9
E
Emil Christensen
B 93 · Superliga
Denmark28y
Tkl/900.85
KP/900.00
Ball-Playing CBAerial
Last 5: → Stable
84% match
N/A
#10
R
Rasmus Kristensen
Eintracht Frankfurt · Bundesliga
Denmark28yContract 2029
Tkl/902.39
KP/900.80
Active Full-BackAerial
83% match
€14.0M
#11
A
Andreas Hanche-Olsen
FSV Mainz 05 · Bundesliga
Norway29yContract 2028
Tkl/901.05
KP/900.21
Ball-Playing CBAerial
84% match
€5.0M
#12
M
Malte Kiilerich
Hvidovre · Superliga
Denmark30y
Tkl/901.36
KP/900.18
Ball-Playing CBAerial
Last 5: ↑ Hot
83% match
N/A

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 Henrik Dalsgaard.

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Frequently Asked Questions

Who are the best alternatives to Henrik Dalsgaard?
The top alternatives to Henrik Dalsgaard based on AI DNA playing style analysis include: Oliver Provstgaard, M. Jensen, Gustaf Lagerbielke, Joachim Andersen, Bram Nuytinck. 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 Henrik Dalsgaard in 2026?
Players with a similar profile to Henrik Dalsgaard in 2026 include Oliver Provstgaard (€4.5M), M. Jensen (€12.0M), Gustaf Lagerbielke (€5.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Henrik Dalsgaard play and who plays similarly?
Henrik Dalsgaard plays as a Defender. Players with a comparable positional profile include Oliver Provstgaard (Denmark, €4.5M); M. Jensen (Denmark, €12.0M); Gustaf Lagerbielke (Sweden, €5.0M); Joachim Andersen (Denmark, €25.0M).
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.