RisingTransfers
AI DNA Similarity

Best Alternatives to Konstantin Maradishvili

Players most similar to Konstantin Maradishvili (Midfielder, €7.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Konstantin Maradishvili

  1. 1.Tomas Suslov83% DNA match·Hellas Verona€5.0M
  2. 2.Giorgi Kochorashvili83% DNA match·Sporting CP€6.0M
  3. 3.Antoni Milambo81% DNA match·Brentford€20.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 0%

Maradishvili is the kind of quietly functional midfielder who keeps possession ticking without ever...

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Playing Style Analysis

Maradishvili is the kind of quietly functional midfielder who keeps possession ticking without ever demanding the spotlight—a profile that's rarer than it sounds in Russian Cup football. His 70.4% pass accuracy and 50% duel win rate both sit above the positional average, suggesting a player who competes intelligently rather than athletically. The counterintuitive read here is his low pass volume—15.3 per 90 places him below average—yet his accuracy holds up, hinting at selectivity rather than timidity; he's not avoiding the ball, he's choosing his moments. The three most similar players to Konstantin Maradishvili by playing style are:

  • Tomas Suslov(83% match)A Creator. Statistically, he stands out as naturally left-footed, a capable chance creator (1.2 key passes/90), active in the tackle (2.4 tackles/90), draws fouls effectively (2.8/90) and active off the ball (2.0 press score/90), contributing to defensive transitions.
  • Giorgi Kochorashvili(83% match)Kochorashvili is the kind of midfielder who makes a team's engine room hum without ever demanding the spotlight — a Georgian metronome operating in Liga Portugal with a passing volume and defensive return that puts him in the top 5% at his position across both categories simultaneously. His 75.5 passes per 90 isn't just high; it signals a player who constantly offers himself, controls tempo, and connects lines. The counterintuitive read here is his 2.04 interceptions per 90 — that's not a pressing midfielder chasing shadows, that's a reader of the game who positions himself to kill attacks before they breathe.
  • Antoni Milambo(81% match)A Creator. Statistically, he stands out as a capable chance creator (1.2 key passes/90), a reliable supplier (0.23 assists/90) and creates high-quality scoring opportunities (0.59 big chances/90).

Transfer Intelligence

Tomas Suslov delivers 83% of the same playing style, at 29% lower cost (€5.0M vs €7.0M), with 0.48 key passes per 90 at age 23.

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

K
Comparison Base
Konstantin Maradishvili
MidfielderRussia€7.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
T
Tomas Suslov
Hellas Verona · Serie A
Slovakia23yContract 2027
KP/900.48
G/900.00
Creator
Last 5: → Stable
vs Maradishvili: 3y younger
83% match
€5.0M
#2
G
Giorgi Kochorashvili
Sporting CP · Liga Portugal
Georgia26yContract 2030
KP/900.61
G/900.00
Last 5: ↓ Dip
83% match
€6.0M
#3
A
Antoni Milambo
Brentford · Premier League
Netherlands21yContract 2030
KP/901.22
G/900.14
Creator
vs Maradishvili: €13M more expensive · 5y younger
81% match
€20.0M
#4
M
Martin Baturina
Como · Serie A
Croatia23yContract 2030
KP/904.11
G/900.51
CreatorCreative
Last 5: → Stable
81% match
€18.0M
#5
A
Aleksandr Golovin
Monaco · Ligue 1
Russia29yContract 2029
KP/901.51
G/900.00
CreatorCreative
Last 5: ↑ Hot
82% match
€18.0M
#6
A
Abbosbek Fayzullaev
İstanbul Başakşehir · Super Lig
Uzbekistan22y
KP/901.48
G/900.26
Creator
Last 5: ↓ Dip
81% match
€7.5M
#7
G
Gorby
Sporting Braga · Liga Portugal
France23yContract 2028
KP/900.37
G/900.05
Metronome
Last 5: ↑ Hot
80% match
€7.0M
#8
I
Ilia Gruev
Leeds United · Premier League
Bulgaria26yContract 2027
KP/900.75
G/900.00
Ball-Winner
Last 5: ↓ Dip
81% match
€9.0M
#9
O
Oscar Gloukh
Ajax · Eredivisie
Israel22yContract 2030
KP/901.67
G/900.35
CreatorCreative
Last 5: → Stable
81% match
€18.0M
#10
K
Kacper Kozlowski
Gaziantep F.K. · Super Lig
Poland22yContract 2027
KP/901.23
G/900.21
Creator
Last 5: ↑ Hot
80% match
€5.0M
#11
H
Hugo Magnetti
Brest · Ligue 1
France27yContract 2027
KP/900.48
G/900.10
Balanced Midfielder
Last 5: → Stable
80% match
€6.0M
#12
B
Beñat Prados
Athletic Club · La Liga
Spain25yContract 2031
KP/900.55
G/900.05
Ball-WinnerDefensive
79% match
€18.0M

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 Konstantin Maradishvili.

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Frequently Asked Questions

Who are the best alternatives to Konstantin Maradishvili?
The top alternatives to Konstantin Maradishvili based on AI DNA playing style analysis include: Tomas Suslov, Giorgi Kochorashvili, Antoni Milambo, Martin Baturina, Aleksandr Golovin. 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 Konstantin Maradishvili in 2026?
Players with a similar profile to Konstantin Maradishvili in 2026 include Tomas Suslov (€5.0M), Giorgi Kochorashvili (€6.0M), Antoni Milambo (€20.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Konstantin Maradishvili play and who plays similarly?
Konstantin Maradishvili plays as a Midfielder. Players with a comparable positional profile include Tomas Suslov (Slovakia, €5.0M); Giorgi Kochorashvili (Georgia, €6.0M); Antoni Milambo (Netherlands, €20.0M); Martin Baturina (Croatia, €18.0M).
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.