RisingTransfers
AI DNA Similarity

Best Alternatives to Tuur Rommens

Players most similar to Tuur Rommens (Defender, €4.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Tuur Rommens

  1. 1.Mohamed Abdelmonem 85% DNA match·Nice€3.0M
  2. 2.Mees de Wit85% DNA match·AZ€4.5M
  3. 3.Armando Obispo84% DNA match·PSV€3.0M

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

RT

Intelligence Verdict

Big ChancesTop 2%
???Bottom 12%

A Active Full-Back....

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Playing Style Analysis

Active Full-BackAerial

A Active Full-Back. Statistically, he stands out as a capable chance creator (1.5 key passes/90), active in the tackle (2.4 tackles/90), commanding in the air (4.6 clearances/90), reads the game exceptionally (1.6 interceptions/90), wins the physical battle (64% duel success), creates high-quality scoring opportunities (0.52 big chances/90), central to possession (75 touches/90) and active off the ball (2.7 press score/90), contributing to defensive transitions. The three most similar players to Tuur Rommens by playing style are:

  • Mohamed Abdelmonem (85% match)A Ball-Playing CB. Statistically, he stands out as active in the tackle (2.1 tackles/90), commanding in the air (5.4 clearances/90), reads the game exceptionally (1.6 interceptions/90), meticulous in distribution (90% pass accuracy), wins the physical battle (62% duel success) and dominant in the air (3.4 aerials won/90, 60%). Note: this profile is based on 856 minutes of playing time this season.
  • Mees de Wit(85% match)A Active Full-Back. Statistically, he stands out as naturally left-footed, a capable chance creator (1.1 key passes/90), a reliable supplier (0.22 assists/90), active in the tackle (2.3 tackles/90), uses long balls frequently (5.5/90) and active off the ball (2.2 press score/90), contributing to defensive transitions.
  • Armando Obispo(84% match)A Ball-Playing CB. Statistically, he stands out as naturally left-footed, a regular goalscorer (0.22 goals/90), commanding in the air (6.2 clearances/90), meticulous in distribution (90% pass accuracy), wins the physical battle (57% duel success), heavily involved in possession (66 passes/90), penetrates with forward passing (9.2 final-third passes/90), central to possession (79 touches/90), strong in aerial duels (4.3 aerials won/90) and switches play with precision (5.4 long balls/90, 62% accuracy). Note: this profile is based on 806 minutes of playing time this season.

Transfer Intelligence

Mohamed Abdelmonem  delivers 85% of the same playing style, at 25% lower cost (€3.0M vs €4.0M), with 2.11 tackles won per 90 at age 27.

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

T
Comparison Base
Tuur Rommens
DefenderBelgium€4.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
M
Mohamed Abdelmonem 
Nice · Ligue 1
Egypt27yContract 2028
Tkl/902.11
KP/900.00
Ball-Playing CBAerial
vs Rommens: 4y older
85% match
€3.0M
#2
M
Mees de Wit
AZ · Eredivisie
Netherlands28yContract 2029
Tkl/902.28
KP/901.12
Active Full-Back
Last 5: → Stable
vs Rommens: 5y older
85% match
€4.5M
#3
A
Armando Obispo
PSV · Eredivisie
Netherlands27yContract 2027
Tkl/900.67
KP/900.00
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
vs Rommens: 4y older
84% match
€3.0M
#4
I
Ignace Van der Brempt
Como · Serie A
Belgium24yContract 2028
Tkl/902.57
KP/900.48
Active Full-BackSmall Sample
Last 5: ↓ Dip
84% match
€3.5M
#5
S
Stefano Denswil
Kayserispor · Super Lig
Suriname33y
Tkl/900.96
KP/900.23
Ball-Playing CBAerial
Last 5: ↓ Dip
83% match
€6.0M
#6
G
Gideon Mensah
Auxerre · Ligue 1
Ghana27yContract 2026
Tkl/901.82
KP/900.61
Active Full-BackSmall Sample
Last 5: → Stable
84% match
€3.5M
#7
M
Mustafa Eskihellaç
Trabzonspor · Super Lig
Turkey29yContract 2027
Tkl/901.66
KP/900.98
Active Full-Back
Last 5: → Stable
82% match
€3.0M
#8
J
Jordan Lotomba
Feyenoord · Eredivisie
Switzerland27yContract 2027
Tkl/901.66
KP/900.39
Last 5: ↑ Hot
83% match
€5.0M
#9
C
Calvin Verdonk
LOSC Lille · Ligue 1
Netherlands29yContract 2028
Tkl/903.05
KP/901.22
Active Full-BackBall-Playing
Last 5: ↓ Dip
83% match
€3.0M
#10
D
Denso Kasius
AZ · Eredivisie
Netherlands23yContract 2029
Tkl/901.29
KP/901.59
Active Full-Back
Last 5: ↑ Hot
83% match
€6.0M
#11
A
Arthur Zagré
Excelsior · Eredivisie
France24yContract 2026
Tkl/902.08
KP/900.74
Active Full-Back
Last 5: ↓ Dip
83% match
€10.0M
#12
M
Miro Muheim
Hamburger SV · Bundesliga
Switzerland28yContract 2027
Tkl/902.21
KP/901.89
Active Full-BackSmall Sample
83% match
€4.0M

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 Tuur Rommens.

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Frequently Asked Questions

Who are the best alternatives to Tuur Rommens?
The top alternatives to Tuur Rommens based on AI DNA playing style analysis include: Mohamed Abdelmonem , Mees de Wit, Armando Obispo, Ignace Van der Brempt, Stefano Denswil. 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 Tuur Rommens in 2026?
Players with a similar profile to Tuur Rommens in 2026 include Mohamed Abdelmonem  (€3.0M), Mees de Wit (€4.5M), Armando Obispo (€3.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Tuur Rommens play and who plays similarly?
Tuur Rommens plays as a Defender. Players with a comparable positional profile include Mohamed Abdelmonem  (Egypt, €3.0M); Mees de Wit (Netherlands, €4.5M); Armando Obispo (Netherlands, €3.0M); Ignace Van der Brempt (Belgium, €3.5M).
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.