RisingTransfers
AI DNA Similarity

Best Alternatives to Mads Roerslev

Players most similar to Mads Roerslev (Defender, €6.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Mads Roerslev

  1. 1.Oliver Provstgaard84% DNA match·Lazio€4.5M
  2. 2.Veljko Milosavljevic83% DNA match·AFC Bournemouth€20.0M
  3. 3.Chadi Riad83% DNA match·Crystal Palace€12.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 0%

Roerslev occupies an interesting middle ground in the Championship's defensive landscape...

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Playing Style Analysis

Roerslev occupies an interesting middle ground in the Championship's defensive landscape — technically tidy enough to progress the ball, but not yet the complete package his reputation sometimes suggests. With 471 minutes of partial data, the picture is incomplete, yet telling. His passes into the final third land in the top 30% of Championship defenders, revealing an attacking instinct that most pure defenders at this level simply don't possess — that's the hidden value beneath an otherwise unremarkable passing profile. The three most similar players to Mads Roerslev by playing style are:

  • Oliver Provstgaard(84% 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.
  • Veljko Milosavljevic(83% match)Milosavljevic is the kind of defender who wins games through the pass rather than the tackle—a ball-playing centre-back whose value lives in the build-up phase, not the trenches. His passes into the final third rank in the top 20% of Premier League defenders, and his volume of 46.6 passes per 90 places him above most peers in possession-based systems. Here's the counterintuitive part: his aerial win *rate* sits below average, yet his aerial *volume* lands in the top 30%—he's contesting more duels than most, just not winning them cleanly.
  • Chadi Riad(83% match)A Ball-Playing CB. Statistically, he stands out as naturally left-footed, commanding in the air (4.4 clearances/90), meticulous in distribution (90% pass accuracy) and wins the physical battle (58% duel success).

Transfer Intelligence

Oliver Provstgaard delivers 84% of the same playing style, at 25% lower cost (€4.5M vs €6.0M), 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 →

M
Comparison Base
Mads Roerslev
DefenderDenmark€6.0M
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 Roerslev: 4y younger
84% match
€4.5M
#2
V
Veljko Milosavljevic
AFC Bournemouth · Premier League
Serbia18yContract 2030
Tkl/901.23
KP/900.24
Aerial Defender
vs Roerslev: €14M more expensive · 8y younger
83% match
€20.0M
#3
C
Chadi Riad
Crystal Palace · Premier League
Morocco22yContract 2029
Tkl/901.62
KP/900.23
Ball-Playing CBAerial
Last 5: → Stable
vs Roerslev: €6M more expensive · 4y younger
83% match
€12.0M
#4
J
Joachim Andersen
Fulham · Premier League
Denmark29yContract 2029
Tkl/901.41
KP/900.22
Ball-Playing CBBall-Playing
Last 5: → Stable
82% match
€25.0M
#5
J
Joe Worrall
Burnley · Premier League
England29yContract 2028
Tkl/900.73
KP/900.18
Physical StopperAerial
Last 5: → Stable
83% match
€4.0M
#6
R
Rasmus Kristensen
Eintracht Frankfurt · Bundesliga
Denmark28yContract 2029
Tkl/902.39
KP/900.80
Active Full-BackAerial
82% match
€14.0M
#7
D
Dan Ballard
Sunderland · Premier League
Northern Ireland26yContract 2028
Tkl/901.38
KP/900.67
Ball-Playing CBAerial
Last 5: → Stable
82% match
€20.0M
#8
J
Jayden Bogle
Leeds United · Premier League
England25yContract 2028
Tkl/902.08
KP/900.69
Active Full-Back
Last 5: → Stable
82% match
€10.0M
#9
V
Vitaliy Mykolenko
Everton · Premier League
Ukraine26yContract 2026
Tkl/901.59
KP/900.71
Aerial
Last 5: ↑ Hot
82% match
€25.0M
#10
M
M. Jensen
Sønderjyske Fodbold · Superliga
Denmark29yContract 2026
Tkl/900.87
KP/900.13
Ball-Playing CBBall-Playing
Last 5: → Stable
82% match
€12.0M
#11
A
Andreas Hanche-Olsen
FSV Mainz 05 · Bundesliga
Norway29yContract 2028
Tkl/901.05
KP/900.21
Ball-Playing CBAerial
82% match
€5.0M
#12
J
Jake O'Brien
Everton · Premier League
Republic of Ireland24yContract 2028
Tkl/901.66
KP/900.48
Aerial
Last 5: → Stable
81% match
€16.0M

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 Mads Roerslev.

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Frequently Asked Questions

Who are the best alternatives to Mads Roerslev?
The top alternatives to Mads Roerslev based on AI DNA playing style analysis include: Oliver Provstgaard, Veljko Milosavljevic, Chadi Riad, Joachim Andersen, Joe Worrall. 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 Mads Roerslev in 2026?
Players with a similar profile to Mads Roerslev in 2026 include Oliver Provstgaard (€4.5M), Veljko Milosavljevic (€20.0M), Chadi Riad (€12.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Mads Roerslev play and who plays similarly?
Mads Roerslev plays as a Defender. Players with a comparable positional profile include Oliver Provstgaard (Denmark, €4.5M); Veljko Milosavljevic (Serbia, €20.0M); Chadi Riad (Morocco, €12.0M); 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.