RisingTransfers
AI DNA Similarity

Best Alternatives to Marko Soldo

Players most similar to Marko Soldo (Midfielder, €1.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Marko Soldo

  1. 1.Sabil Hansen97% DNA match·Randers FC
  2. 2.Nodar Lominadze97% DNA match·Estoril
  3. 3.Charles-Andre Raux Yao97% DNA match·Eyüpspor

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

RT

Intelligence Verdict

Aerials WonTop 0%
???Bottom 24%

A Ball-Winner....

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Playing Style Analysis

Ball-WinnerDefensiveSmall Sample

A Ball-Winner. Statistically, he stands out as a capable chance creator (1.2 key passes/90), a proven goalscorer (0.53 goals/90), a reliable supplier (0.18 assists/90), an aggressive ball-winner (3.0 tackles/90), reads the game exceptionally (1.8 interceptions/90), heavily involved in play (67 touches/90), a high-intensity presser (press score 3.4/90), constantly disrupting opposition build-up and top 10% tackler in the league. Note: this profile is based on 509 minutes of playing time this season. The three most similar players to Marko Soldo by playing style are:

  • Sabil Hansen(97% match)A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (3.9 tackles/90), reads the game exceptionally (2.1 interceptions/90), wins the physical battle (56% duel success), wins the ball cleanly (2.1 successful tackles/90), central to possession (71 touches/90), active off the ball (2.9 press score/90), contributing to defensive transitions and top 10% tackler in the league.
  • Nodar Lominadze(97% match)A Ball-Winner. Statistically, he stands out as a regular goalscorer (0.28 goals/90), an aggressive ball-winner (3.1 tackles/90), reads the game exceptionally (2.6 interceptions/90), wins the ball cleanly (1.9 successful tackles/90), heavily involved in play (57 touches/90), strong in aerial duels (3.5 aerials won/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 633 minutes of playing time this season.
  • Charles-Andre Raux Yao(97% match)A Ball-Winner. Statistically, he stands out as a capable chance creator (1.1 key passes/90), a constant goal threat (2.5 shots/90), a regular goalscorer (0.36 goals/90), active in the tackle (2.2 tackles/90), heavily involved in play (64 touches/90), draws fouls effectively (5.8/90) and a high-intensity presser (press score 3.2/90), constantly disrupting opposition build-up. However, he loses possession under pressure (2.7 dispossessed/90).

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

M
Comparison Base
Marko Soldo
MidfielderCroatia€1.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
S
Sabil Hansen
Randers FC · Superliga
Denmark20yContract 2027
KP/900.70
G/900.35
Ball-WinnerDefensive
Last 5: ↓ Dip
vs Soldo: 2y younger
97% match
N/A
#2
N
Nodar Lominadze
Estoril · Liga Portugal
Georgia24yContract 2029
KP/900.71
G/900.28
Ball-WinnerDefensive
vs Soldo: 2y older
97% match
N/A
#3
C
Charles-Andre Raux Yao
Eyüpspor · Super Lig
France24y
KP/901.08
G/900.36
Ball-WinnerSmall Sample
Last 5: → Stable
vs Soldo: 2y older
97% match
N/A
#4
H
Hamza Akman
Eyüpspor · Super Lig
Turkey21y
KP/901.03
G/900.19
Box-to-Box
Last 5: ↓ Dip
97% match
N/A
#5
R
Rafael Filipe Gonçalves Soares Luís
Strasbourg · Ligue 1
Portugal21yContract 2026
KP/900.31
G/900.00
Ball-WinnerDefensive
Last 5: ↑ Hot
97% match
€4.0M
#6
R
Rocco Ascone
Nordsjælland · Superliga
France22y
KP/902.16
G/900.00
Ball-WinnerCreative
Last 5: → Stable
97% match
N/A
#7
J
Juanpe
Málaga · La Liga
Spain30yContract 2026
KP/900.52
G/900.00
Ball-WinnerDefensive
Last 5: → Stable
97% match
N/A
#8
D
Dave Kwakman
FC Volendam · Eredivisie
Netherlands21y
KP/900.75
G/900.00
Ball-WinnerDefensive
Last 5: → Stable
97% match
N/A
#9
T
Tyler Onyango
Everton · Premier League
England23y
KP/900.50
G/900.00
Ball-WinnerDefensive
97% match
N/A
#10
J
José Luís Rocha Tavares
Santa Clara · Liga Portugal
Cape Verde22y
KP/900.76
G/900.00
Ball-WinnerDefensive
Last 5: ↓ Dip
97% match
N/A
#11
O
Odysseus Velanas
PEC Zwolle · Eredivisie
Netherlands27yContract 2026
KP/902.00
G/900.33
CreatorCreative
Last 5: → Stable
97% match
N/A
#12
G
Gonçalo Nogueira
Vitória Guimarães · Liga Portugal
Portugal22yContract 2028
KP/901.51
G/900.00
Ball-WinnerDefensive
Last 5: ↑ Hot
96% 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 Marko Soldo.

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Frequently Asked Questions

Who are the best alternatives to Marko Soldo?
The top alternatives to Marko Soldo based on AI DNA playing style analysis include: Sabil Hansen, Nodar Lominadze, Charles-Andre Raux Yao, Hamza Akman, Rafael Filipe Gonçalves Soares Luís. 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 Marko Soldo in 2026?
Players with a similar profile to Marko Soldo in 2026 include Sabil Hansen (N/A), Nodar Lominadze (N/A), Charles-Andre Raux Yao (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Marko Soldo play and who plays similarly?
Marko Soldo plays as a Midfielder. Players with a comparable positional profile include Sabil Hansen (Denmark, N/A); Nodar Lominadze (Georgia, N/A); Charles-Andre Raux Yao (France, N/A); Hamza Akman (Turkey, N/A).
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.