RisingTransfers
AI DNA Similarity

Best Alternatives to Devyne Rensch

Players most similar to Devyne Rensch (Defender, €8.5M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Devyne Rensch

  1. 1.Sergiño Dest85% DNA match·PSV€18.0M
  2. 2.Emil Holm86% DNA match·Juventus€13.0M
  3. 3.Rasmus Kristensen84% DNA match·Eintracht Frankfurt€14.0M

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

RT

Intelligence Verdict

Tackles WonTop 6%
???Bottom 0%

A Active Full-Back....

See Full Verdict + Share Card →

Playing Style Analysis

Active Full-Back

A Active Full-Back. Statistically, he stands out as a prolific assist provider (0.35 assists/90), an aggressive ball-winner (2.6 tackles/90), wins the physical battle (62% duel success), active off the ball (2.1 press score/90), contributing to defensive transitions and top 10% tackler in the league. The three most similar players to Devyne Rensch by playing style are:

  • Sergiño Dest(85% match)Dest has carved out an identity that few defenders can claim: an American-born fullback who looks more comfortable threading passes into dangerous zones than sitting in a defensive block. Back in the Eredivisie after a turbulent few years in Spain and Italy, he's rediscovered himself—and the numbers are striking. His dribble rate lands in the top 5% of league defenders, and his press intensity matches it, suggesting someone who presses with purpose rather than panic.
  • Emil Holm(86% match)A Active Full-Back. Statistically, he stands out as a prolific assist provider (0.55 assists/90), an aggressive ball-winner (2.7 tackles/90), wins the physical battle (55% duel success), central to possession (72 touches/90), a high-intensity presser (press score 3.2/90), constantly disrupting opposition build-up and top 10% tackler in the league. Note: this profile is based on 656 minutes of playing time this season.
  • Rasmus Kristensen(84% 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.

Transfer Intelligence

Sergiño Dest delivers 85% of the same playing style, at a 112% premium over Devyne Rensch, with 2.21 tackles won per 90 at age 25.

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

D
Comparison Base
Devyne Rensch
DefenderNetherlands€8.5M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
S
Sergiño Dest
PSV · Eredivisie
United States25yContract 2028
Tkl/902.21
KP/901.11
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Rensch: €10M more expensive · 2y older
85% match
€18.0M
#2
E
Emil Holm
Juventus · Serie A
Sweden25yContract 2026
Tkl/902.74
KP/900.96
Active Full-BackSmall Sample
vs Rensch: 2y older
86% match
€13.0M
#3
R
Rasmus Kristensen
Eintracht Frankfurt · Bundesliga
Denmark28yContract 2029
Tkl/902.39
KP/900.80
Active Full-BackAerial
vs Rensch: €6M more expensive · 5y older
84% match
€14.0M
#4
G
Giorgio Scalvini
Atalanta · Serie A
Italy22yContract 2028
Tkl/902.06
KP/900.72
Ball-Playing CBBall-Playing
Last 5: → Stable
84% match
€25.0M
#5
J
Jeremie Frimpong
Liverpool · Eredivisie
Netherlands25yContract 2030
Tkl/901.05
KP/901.23
Active Full-Back
Last 5: ↑ Hot
84% match
€38.0M
#6
J
J. Timber
Arsenal · Premier League
Netherlands24yContract 2028
Tkl/902.42
KP/900.99
Active Full-Back
Last 5: → Stable
83% match
€70.0M
#7
M
Mathías Olivera
Napoli · Serie A
Uruguay28yContract 2030
Tkl/902.59
KP/900.94
Active Full-BackBall-Playing
Last 5: ↓ Dip
84% match
€15.0M
#8
W
Wesley
Roma · Serie A
Brazil22yContract 2030
Tkl/902.02
KP/901.29
Active Full-Back
Last 5: → Stable
83% match
€35.0M
#9
F
Federico Baschirotto
Cremonese · Serie A
Italy29y
Tkl/901.18
KP/900.00
Ball-Playing CBAerial
83% match
€4.0M
#10
P
Pablo Maffeo
Mallorca · La Liga
Argentina28yContract 2027
Tkl/902.18
KP/900.65
Last 5: → Stable
83% match
€5.0M
#11
R
Riccardo Calafiori
Arsenal · Premier League
Italy23yContract 2029
Tkl/901.81
KP/900.34
Active Full-Back
Last 5: → Stable
83% match
€50.0M
#12
T
Tariq Lamptey
Fiorentina · Serie A
Ghana25yContract 2028
Tkl/901.76
KP/900.52
Active Full-BackSmall Sample
84% match
€8.0M

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 Devyne Rensch.

Ask AI about Devyne Rensch

Frequently Asked Questions

Who are the best alternatives to Devyne Rensch?
The top alternatives to Devyne Rensch based on AI DNA playing style analysis include: Sergiño Dest, Emil Holm, Rasmus Kristensen, Giorgio Scalvini, Jeremie Frimpong. 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 Devyne Rensch in 2026?
Players with a similar profile to Devyne Rensch in 2026 include Sergiño Dest (€18.0M), Emil Holm (€13.0M), Rasmus Kristensen (€14.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Devyne Rensch play and who plays similarly?
Devyne Rensch plays as a Defender. Players with a comparable positional profile include Sergiño Dest (United States, €18.0M); Emil Holm (Sweden, €13.0M); Rasmus Kristensen (Denmark, €14.0M); Giorgio Scalvini (Italy, €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.