RisingTransfers
AI DNA Similarity

Best Alternatives to Anastasios Bakasetas 

Players most similar to Anastasios Bakasetas  (Midfielder, €3.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Anastasios Bakasetas 

  1. 1.Sotiris Alexandropoulos85% DNA match·Fortuna Düsseldorf€4.5M
  2. 2.Theofanis Bakoulas84% DNA match·Rio Ave
  3. 3.Mitchel Bakker84% DNA match·Atalanta€4.0M

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

RT

Intelligence Verdict

ShotsTop 9%
???Bottom 19%

Bakasetas is the Greek Super League’s premier "Swiss Army Knife" playmaker...

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Playing Style Analysis

CreatorCreative

Bakasetas is the Greek Super League’s premier "Swiss Army Knife" playmaker, a rare hybrid who pairs high-volume chance creation with the defensive grit of a midfield destroyer. While most creative hubs drift through games to preserve energy, Bakasetas operates with a relentless motor, ranking in the top 10% for tackles won and the top 20% for pressing intensity. The data reveals a terrifying dual threat: he is not just a facilitator ranking in the top 20% for key passes, but a genuine finisher whose 2.50 shots per 90 put him in the league's elite bracket for goalscoring. The three most similar players to Anastasios Bakasetas  by playing style are:

  • Sotiris Alexandropoulos(85% match)A Box-to-Box. Statistically, he stands out as an aggressive ball-winner (2.5 tackles/90), wins the ball cleanly (1.9 successful tackles/90), heavily involved in play (56 touches/90) and active off the ball (2.2 press score/90), contributing to defensive transitions. Note: this profile is based on 783 minutes of playing time this season.
  • Theofanis Bakoulas(84% match)Theofanis Bakoulas is a Box-to-Box. Engine covering ground in attack and defense. Statistically, he stands out as a regular goalscorer (0.29 goals/90) and heavily involved in play (51 touches/90). (Limited sample: 309 mins)
  • Mitchel Bakker(84% match)Bakker is a high-variance creative specialist masquerading as a functional cog in a Tier C Serie A machine. While his 284 minutes suggest a peripheral figure, his output is undeniably elite in possession; ranking in the top 10% for key passes and the top 20% for dribbles, he operates as a progressive engine that many top-half sides lack. However, the data reveals a jarring physical passivity.

Transfer Intelligence

Sotiris Alexandropoulos delivers 85% of the same playing style, at a 50% premium over Anastasios Bakasetas , with 1.34 key passes per 90 at age 24.

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

A
Comparison Base
Anastasios Bakasetas 
MidfielderGreece€3.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
S
Sotiris Alexandropoulos
Fortuna Düsseldorf · Bundesliga
Greece24yContract 2026
KP/901.34
G/900.00
Box-to-BoxDefensive
Last 5: ↓ Dip
vs Bakasetas : 8y younger
85% match
€4.5M
#2
T
Theofanis Bakoulas
Rio Ave · Liga Portugal
Greece21yContract 2026
KP/900.58
G/900.29
Box-to-BoxSmall Sample
vs Bakasetas : 11y younger
84% match
N/A
#3
M
Mitchel Bakker
Atalanta · Serie A
Netherlands25yContract 2027
KP/902.22
G/900.00
CreatorCreative
vs Bakasetas : 7y younger
84% match
€4.0M
#4
D
Diogo Gonçalves
Konyaspor · Super Lig
Portugal29yContract 2026
G/900.81
A/900.00
Left WingCreator
Last 5: → Stable
83% match
€3.0M
#5
E
Enis Bardhi
Konyaspor · Super Lig
Macedonia30yContract 2027
KP/902.44
G/900.22
CreatorCreative
Last 5: → Stable
82% match
€3.0M
#6
O
Orkun Kökçü
Beşiktaş · Super Lig
Turkey25yContract 2026
KP/903.19
G/900.30
CreatorCreative
Last 5: → Stable
83% match
€25.0M
#7
R
Ramiz Zerrouki
FC Twente · Eredivisie
Algeria27y
KP/901.56
G/900.11
MetronomeCreative
Last 5: ↑ Hot
81% match
€7.2M
#8
L
Lorenzo Bernasconi
Atalanta · Serie A
Italy22yContract 2028
KP/901.25
G/900.00
Creative Playmaker
Last 5: ↑ Hot
82% match
€4.0M
#9
F
Filip Kostić
Juventus · Serie A
Serbia33yContract 2026
KP/901.95
G/900.59
CreatorCreative
82% match
€3.5M
#10
A
Alexandru Maxim
Gaziantep F.K. · Super Lig
Romania35y
KP/903.31
G/900.17
Box-to-BoxCreative
Last 5: → Stable
81% match
€3.0M
#11
M
Michel Aebischer
Pisa · Serie A
Switzerland29yContract 2026
KP/901.05
G/900.00
Balanced Midfielder
Last 5: ↑ Hot
81% match
€4.0M
#12
A
Adrien Thomasson
Lens · Ligue 1
France32yContract 2026
KP/902.56
G/900.00
Box-to-BoxCreative
Last 5: → Stable
82% match
€4.5M

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 Anastasios Bakasetas .

Ask AI about Anastasios Bakasetas 

Frequently Asked Questions

Who are the best alternatives to Anastasios Bakasetas ?
The top alternatives to Anastasios Bakasetas  based on AI DNA playing style analysis include: Sotiris Alexandropoulos, Theofanis Bakoulas, Mitchel Bakker, Diogo Gonçalves, Enis Bardhi. 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 Anastasios Bakasetas  in 2026?
Players with a similar profile to Anastasios Bakasetas  in 2026 include Sotiris Alexandropoulos (€4.5M), Theofanis Bakoulas (N/A), Mitchel Bakker (€4.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Anastasios Bakasetas  play and who plays similarly?
Anastasios Bakasetas  plays as a Midfielder. Players with a comparable positional profile include Sotiris Alexandropoulos (Greece, €4.5M); Theofanis Bakoulas (Greece, N/A); Mitchel Bakker (Netherlands, €4.0M); Diogo Gonçalves (Portugal, €3.0M).
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.