RisingTransfers
AI DNA Similarity

Best Alternatives to Matej Vydra

Players most similar to Matej Vydra (Attacker, €12.2M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Matej Vydra

  1. 1.Brajan Gruda84% DNA match·RB Leipzig€28.0M
  2. 2.Tim Kleindienst83% DNA match·Borussia Mönchengladbach€12.0M
  3. 3.Adam Hlozek83% DNA match·TSG Hoffenheim€15.0M

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

RT

Intelligence Verdict

Key PassesTop 4%
???Bottom 13%

Vydra is the rare veteran attacker who still wins the ball like a midfielder and creates chances like a playmaker...

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Playing Style Analysis

Target ManProlific

Vydra is the rare veteran attacker who still wins the ball like a midfielder and creates chances like a playmaker — a profile that defies his age and league level. Operating in the Chance Liga, he ranks in the top 5% for duel win rate and top 10% for key passes per 90, numbers that suggest a player doing far more than simply finishing moves. His shot volume — also top 5% — looks aggressive on the surface, but the counterintuitive reality is that his 0.58 goals per 90 actually undersells his creative contribution; he's generating chances for others at a rate most forwards in this league simply don't. The three most similar players to Matej Vydra by playing style are:

  • Brajan Gruda(84% match)Gruda is the kind of 20-year-old who wins ground duels at a top-10% clip in the Bundesliga while simultaneously creating chances at a top-20% rate—a combination that suggests a forward who fights *and* thinks. His dribbling volume (top 10%) tells you he's not waiting for the game to come to him, and his pressing intensity matches that aggression, making him a genuine nuisance in transition. The counterintuitive read here: his below-average aerial numbers aren't a weakness in context—they reflect a player who simply isn't being used aerially, not one who loses those battles when they matter.
  • Tim Kleindienst(83% match)A Target Man. Statistically, he stands out as comfortable with both feet, a proven goalscorer (0.52 goals/90), a reliable supplier (0.23 assists/90), creates high-quality scoring opportunities (0.52 big chances/90), dominant in the air (4.9 aerials won/90, 60%) and top 20% scorer in the league.
  • Adam Hlozek(83% match)A Complete Forward. Statistically, he stands out as a capable chance creator (1.0 key passes/90), a constant goal threat (2.8 shots/90) and a regular goalscorer (0.38 goals/90). However, he loses possession under pressure (1.6 dispossessed/90).

Transfer Intelligence

Brajan Gruda delivers 84% of the same playing style, at a 130% premium over Matej Vydra, with 0.13 goals per 90 at age 21. That's 19% of Matej Vydra's output in goals per 90 — a credible like-for-like option.

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

M
Comparison Base
Matej Vydra
AttackerCzech Republic€12.2M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
B
Brajan Gruda
RB Leipzig · Bundesliga
Germany21yContract 2028
G/900.13
A/900.13
Dynamic ForwardProlific
Last 5: ↓ Dip
vs Vydra: €16M more expensive · 13y younger · -0.52 G/90
84% match
€28.0M
#2
T
Tim Kleindienst
Borussia Mönchengladbach · Bundesliga
Germany30yContract 2028
G/900.52
A/900.23
Target ManProlific
vs Vydra: 4y younger · -0.13 G/90
83% match
€12.0M
#3
A
Adam Hlozek
TSG Hoffenheim · Bundesliga
Czech Republic23yContract 2029
G/900.38
A/900.14
Complete Forward
vs Vydra: 11y younger · -0.27 G/90
83% match
€15.0M
#4
E
Ermedin Demirovic
VfB Stuttgart · Bundesliga
Bosnia and Herzegovina28yContract 2028
G/900.17
A/900.00
Target ManProlific
Last 5: ↑ Hot
82% match
€22.0M
#5
T
Tiago Tomás
VfB Stuttgart · Bundesliga
Portugal23yContract 2029
G/900.38
A/900.00
Inside ForwardProlific
Last 5: ↑ Hot
83% match
€15.0M
#6
P
Patrick Wimmer
VfL Wolfsburg · Bundesliga
Austria24yContract 2027
G/900.00
A/900.35
Small Sample
83% match
€15.0M
#7
V
Vaclav Cerny
Beşiktaş · Super Lig
Czech Republic28yContract 2028
G/900.18
A/900.37
Inside Forward
Last 5: ↓ Dip
83% match
€8.0M
#8
P
Patrik Schick
Bayer 04 Leverkusen · Bundesliga
Czech Republic30yContract 2030
G/900.49
A/900.00
Complete ForwardProlific
Last 5: ↑ Hot
83% match
€20.0M
#9
S
Serhou Guirassy
Borussia Dortmund · Bundesliga
Guinea30yContract 2028
G/900.51
A/900.38
Complete ForwardProlific
Last 5: ↑ Hot
82% match
€40.0M
#10
A
Ally Samatta
Le Havre · Ligue 1
Tanzania33y
G/900.00
A/900.00
Target Man
82% match
€6.0M
#11
A
Ante Budimir
Osasuna · La Liga
Croatia34yContract 2027
G/900.56
A/900.00
Target ManProlific
Last 5: ↓ Dip
82% match
€3.0M
#12
I
Igor Matanovic
SC Freiburg · Bundesliga
Croatia23y
G/900.37
A/900.13
Target ManProlific
Last 5: ↑ Hot
82% match
€7.0M

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 Matej Vydra.

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Frequently Asked Questions

Who are the best alternatives to Matej Vydra?
The top alternatives to Matej Vydra based on AI DNA playing style analysis include: Brajan Gruda, Tim Kleindienst, Adam Hlozek, Ermedin Demirovic, Tiago Tomás. 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 Matej Vydra in 2026?
Players with a similar profile to Matej Vydra in 2026 include Brajan Gruda (€28.0M), Tim Kleindienst (€12.0M), Adam Hlozek (€15.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Matej Vydra play and who plays similarly?
Matej Vydra plays as a Attacker. Players with a comparable positional profile include Brajan Gruda (Germany, €28.0M); Tim Kleindienst (Germany, €12.0M); Adam Hlozek (Czech Republic, €15.0M); Ermedin Demirovic (Bosnia and Herzegovina, €22.0M).
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.