RisingTransfers
AI DNA Similarity

Best Alternatives to Mario Mitaj

Players most similar to Mario Mitaj (Defender, €5.5M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Mario Mitaj

  1. 1.Ardian Ismajli85% DNA match·Torino€6.0M
  2. 2.Albian Hajdari85% DNA match·TSG Hoffenheim€20.0M
  3. 3.Maximilian Mittelstädt85% DNA match·VfB Stuttgart€18.0M

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

RT

Intelligence Verdict

Press IntensityTop 6%
???Bottom 19%

A Active Full-Back....

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Playing Style Analysis

Active Full-Back

A Active Full-Back. Statistically, he stands out as an aggressive ball-winner (2.9 tackles/90), meticulous in distribution (92% pass accuracy), wins the ball cleanly (2.0 successful tackles/90), central to possession (74 touches/90) and active off the ball (3.0 press score/90), contributing to defensive transitions. The three most similar players to Mario Mitaj by playing style are:

  • Ardian Ismajli(85% match)A Physical Stopper. Statistically, he stands out as active in the tackle (2.2 tackles/90), commanding in the air (6.5 clearances/90), reads the game exceptionally (1.9 interceptions/90), wins the physical battle (62% duel success), uses long balls frequently (6.3/90) and active off the ball (2.1 press score/90), contributing to defensive transitions. Note: this profile is based on 719 minutes of playing time this season.
  • Albian Hajdari(85% match)A Ball-Playing CB. Statistically, he stands out as naturally left-footed, active in the tackle (2.3 tackles/90), commanding in the air (6.7 clearances/90), reads the game exceptionally (1.5 interceptions/90), wins the physical battle (55% duel success), penetrates with forward passing (9.2 final-third passes/90), central to possession (76 touches/90), uses long balls frequently (9.6/90) and active off the ball (2.3 press score/90), contributing to defensive transitions.
  • Maximilian Mittelstädt(85% match)A Active Full-Back. Statistically, he stands out as an elite creator (2.4 key passes/90), a regular goalscorer (0.34 goals/90), a prolific assist provider (0.34 assists/90), an aggressive ball-winner (2.7 tackles/90), reads the game exceptionally (1.9 interceptions/90), wins the physical battle (64% duel success), creates high-quality scoring opportunities (1.03 big chances/90), penetrates with forward passing (9.4 final-third passes/90), central to possession (84 touches/90), active off the ball (2.9 press score/90), contributing to defensive transitions and top 10% tackler in the league. Note: this profile is based on 526 minutes of playing time this season.

Transfer Intelligence

Ardian Ismajli delivers 85% of the same playing style, with 2.25 tackles won per 90 at age 29.

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

M
Comparison Base
Mario Mitaj
DefenderAlbania€5.5M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
A
Ardian Ismajli
Torino · Serie A
Albania29yContract 2027
Tkl/902.25
KP/900.38
Physical StopperAerial
vs Mitaj: 7y older
85% match
€6.0M
#2
A
Albian Hajdari
TSG Hoffenheim · Bundesliga
Switzerland22yContract 2029
Tkl/901.18
KP/900.17
Ball-Playing CBBall-Playing
vs Mitaj: €15M more expensive
85% match
€20.0M
#3
M
Maximilian Mittelstädt
VfB Stuttgart · Bundesliga
Germany29yContract 2028
Tkl/902.76
KP/901.91
Active Full-BackBall-Playing
Last 5: → Stable
vs Mitaj: €13M more expensive · 7y older
85% match
€18.0M
#4
A
Anass Salah-Eddine
PSV · Eredivisie
Netherlands24yContract 2026
Tkl/902.40
KP/900.86
Active Full-Back
Last 5: → Stable
85% match
€12.0M
#5
A
Anel Ahmedhodzic
Feyenoord · Eredivisie
Bosnia and Herzegovina27yContract 2029
Tkl/901.10
KP/900.53
Ball-Playing CBBall-Playing
Last 5: → Stable
84% match
€12.0M
#6
G
Gijs Smal
Feyenoord · Eredivisie
Netherlands28yContract 2028
Tkl/902.24
KP/901.60
Active Full-BackSmall Sample
Last 5: → Stable
85% match
€6.0M
#7
J
Jaka Bijol
Leeds United · Premier League
Slovenia27yContract 2030
Tkl/901.30
KP/900.36
Ball-Playing CBAerial
Last 5: ↓ Dip
84% match
€18.0M
#8
R
Roland Sallai
Galatasaray · Super Lig
Hungary28yContract 2028
Tkl/901.79
KP/900.88
Active Full-Back
Last 5: → Stable
84% match
€12.0M
#9
M
Mauro Júnior
PSV · Eredivisie
Brazil27yContract 2029
Tkl/902.63
KP/901.51
Active Full-BackBall-Playing
Last 5: → Stable
84% match
€17.0M
#10
D
Danilho Doekhi
FC Union Berlin · Bundesliga
Netherlands27yContract 2026
Tkl/901.00
KP/900.29
Physical StopperAerial
84% match
€13.0M
#11
C
Calvin Verdonk
LOSC Lille · Ligue 1
Netherlands29yContract 2028
Tkl/903.05
KP/901.22
Active Full-BackBall-Playing
Last 5: ↓ Dip
84% match
€3.0M
#12
A
Alexandre Penetra
AZ · Eredivisie
Portugal24yContract 2028
Tkl/901.44
KP/900.26
Ball-Playing CBBall-Playing
Last 5: → Stable
83% match
€9.0M

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 Mario Mitaj.

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Frequently Asked Questions

Who are the best alternatives to Mario Mitaj?
The top alternatives to Mario Mitaj based on AI DNA playing style analysis include: Ardian Ismajli, Albian Hajdari, Maximilian Mittelstädt, Anass Salah-Eddine, Anel Ahmedhodzic. 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 Mario Mitaj in 2026?
Players with a similar profile to Mario Mitaj in 2026 include Ardian Ismajli (€6.0M), Albian Hajdari (€20.0M), Maximilian Mittelstädt (€18.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Mario Mitaj play and who plays similarly?
Mario Mitaj plays as a Defender. Players with a comparable positional profile include Ardian Ismajli (Albania, €6.0M); Albian Hajdari (Switzerland, €20.0M); Maximilian Mittelstädt (Germany, €18.0M); Anass Salah-Eddine (Netherlands, €12.0M).
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.