RisingTransfers
AI DNA Similarity

Best Alternatives to Xaver Schlager

Players most similar to Xaver Schlager (Midfielder, €10.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Xaver Schlager

  1. 1.Ezequiel Fernández86% DNA match·Bayer 04 Leverkusen€25.0M
  2. 2.Yegor Yarmolyuk85% DNA match·Brentford€25.0M
  3. 3.Kristijan Jakic86% DNA match·FC Augsburg€6.0M

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

RT

Intelligence Verdict

Ball RecoveriesTop 6%
???Bottom 0%

A Box-to-Box....

See Full Verdict + Share Card →

Playing Style Analysis

Box-to-Box

A Box-to-Box. Statistically, he stands out as naturally left-footed, a capable chance creator (1.0 key passes/90), active in the tackle (1.9 tackles/90), meticulous in distribution (87% pass accuracy), heavily involved in play (66 touches/90) and active off the ball (3.0 press score/90), contributing to defensive transitions. The three most similar players to Xaver Schlager by playing style are:

  • Ezequiel Fernández(86% match)A Ball-Winner. Statistically, he stands out as naturally left-footed, an aggressive ball-winner (2.9 tackles/90), meticulous in distribution (90% pass accuracy), wins the physical battle (56% duel success), heavily involved in possession (75 passes/90), central to possession (93 touches/90), draws fouls effectively (2.2/90), a high-intensity presser (press score 3.3/90), constantly disrupting opposition build-up and top 10% tackler in the league.
  • Yegor Yarmolyuk(85% match)A Box-to-Box. Statistically, he stands out as active in the tackle (2.4 tackles/90), heavily involved in play (59 touches/90) and a high-intensity presser (press score 3.2/90), constantly disrupting opposition build-up.
  • Kristijan Jakic(86% match)A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (3.1 tackles/90), penetrates with forward passing (8.6 final-third passes/90), wins the ball cleanly (2.3 successful tackles/90), heavily involved in play (67 touches/90), uses long balls frequently (6.3/90), a high-intensity presser (press score 3.6/90), constantly disrupting opposition build-up and top 10% tackler in the league. Note: this profile is based on 470 minutes of playing time this season.

Transfer Intelligence

Ezequiel Fernández delivers 86% of the same playing style, at a 150% premium over Xaver Schlager, with 1.03 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 →

X
Comparison Base
Xaver Schlager
MidfielderAustria€10.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
E
Ezequiel Fernández
Bayer 04 Leverkusen · Bundesliga
Argentina23yContract 2030
KP/901.03
G/900.00
Ball-WinnerDefensive
Last 5: ↓ Dip
vs Schlager: €15M more expensive · 5y younger
86% match
€25.0M
#2
Y
Yegor Yarmolyuk
Brentford · Premier League
Ukraine22yContract 2031
KP/900.56
G/900.04
Box-to-Box
Last 5: ↓ Dip
vs Schlager: €15M more expensive · 6y younger
85% match
€25.0M
#3
K
Kristijan Jakic
FC Augsburg · Bundesliga
Croatia28yContract 2028
KP/900.77
G/900.15
Ball-WinnerDefensive
Last 5: → Stable
86% match
€6.0M
#4
M
Marcel Sabitzer
Borussia Dortmund · Bundesliga
Austria32yContract 2027
KP/900.97
G/900.24
86% match
€7.0M
#5
C
Christoph Baumgartner
RB Leipzig · Bundesliga
Austria26yContract 2028
KP/901.38
G/900.55
CreatorCreative
Last 5: ↓ Dip
85% match
€20.0M
#6
E
Elvis Rexhbecaj
FC Augsburg · Bundesliga
Kosovo28yContract 2026
KP/901.02
G/900.00
Balanced Midfielder
85% match
€3.5M
#7
P
Philipp Sander
Borussia Mönchengladbach · Bundesliga
Germany28yContract 2028
KP/900.35
G/900.00
Ball-WinnerDefensive
85% match
€4.0M
#8
A
Albert Sambi Lokonga
Hamburger SV · Bundesliga
Belgium26yContract 2028
KP/901.32
G/900.50
Box-to-Box
85% match
€8.0M
#9
T
Tom Bischof
FC Bayern München · Bundesliga
Germany20yContract 2029
KP/901.01
G/900.00
CreatorCreative
Last 5: ↑ Hot
85% match
€40.0M
#10
D
Dominik Szoboszlai
Liverpool · Premier League
Hungary25yContract 2028
KP/902.00
G/900.18
CreatorCreative
Last 5: → Stable
84% match
€100.0M
#11
A
Anton Stach
Leeds United · Premier League
Germany27yContract 2029
KP/902.46
G/900.20
Box-to-BoxCreative
Last 5: → Stable
84% match
€20.0M
#12
A
András Schäfer
FC Union Berlin · Bundesliga
Hungary27yContract 2027
KP/900.97
G/900.00
Balanced MidfielderDefensive
85% 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 Xaver Schlager.

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Frequently Asked Questions

Who are the best alternatives to Xaver Schlager?
The top alternatives to Xaver Schlager based on AI DNA playing style analysis include: Ezequiel Fernández, Yegor Yarmolyuk, Kristijan Jakic, Marcel Sabitzer, Christoph Baumgartner. 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 Xaver Schlager in 2026?
Players with a similar profile to Xaver Schlager in 2026 include Ezequiel Fernández (€25.0M), Yegor Yarmolyuk (€25.0M), Kristijan Jakic (€6.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Xaver Schlager play and who plays similarly?
Xaver Schlager plays as a Midfielder. Players with a comparable positional profile include Ezequiel Fernández (Argentina, €25.0M); Yegor Yarmolyuk (Ukraine, €25.0M); Kristijan Jakic (Croatia, €6.0M); Marcel Sabitzer (Austria, €7.0M).
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.