RisingTransfers
AI DNA Similarity

Best Alternatives to Granit Xhaka

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

Top 3 Alternatives to Granit Xhaka

  1. 1.Declan Rice86% DNA match·Arsenal€120.0M
  2. 2.Martín Zubimendi84% DNA match·Arsenal€80.0M
  3. 3.Manuel Locatelli84% DNA match·Juventus€25.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%

A Metronome....

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Playing Style Analysis

Metronome

A Metronome. Statistically, he stands out as naturally left-footed, a capable chance creator (1.1 key passes/90), a reliable supplier (0.20 assists/90), wins the physical battle (61% duel success), penetrates with forward passing (11.3 final-third passes/90), central to possession (71 touches/90), uses long balls frequently (7.8/90) and active off the ball (2.8 press score/90), contributing to defensive transitions. The three most similar players to Granit Xhaka by playing style are:

  • Declan Rice(86% match)A Metronome. Statistically, he stands out as an elite creator (1.9 key passes/90), a reliable supplier (0.15 assists/90), active in the tackle (2.0 tackles/90), meticulous in distribution (87% pass accuracy), wins the physical battle (60% duel success), heavily involved in possession (61 passes/90), penetrates with forward passing (8.3 final-third passes/90), central to possession (80 touches/90), uses long balls frequently (5.1/90), active off the ball (2.7 press score/90), contributing to defensive transitions and top 10% creator in the league.
  • Martín Zubimendi(84% match)A Metronome. Statistically, he stands out as active in the tackle (2.1 tackles/90), meticulous in distribution (88% pass accuracy), wins the physical battle (60% duel success), heavily involved in play (69 touches/90) and active off the ball (2.1 press score/90), contributing to defensive transitions.
  • Manuel Locatelli(84% match)Locatelli has spent years being the midfielder that makes everything work without ever making the highlight reel—and the numbers finally prove why that matters. Operating in Serie A's congested midfield battles, he ranks in the top 5% for passes per 90, tackles won, press intensity, and passes into the final third simultaneously; finding a player who dominates all four categories at once is genuinely rare. The counterintuitive read here is his goal contribution figures, which look pedestrian until you understand he's essentially the engine redistributing possession upward—those 15-plus progressive passes per 90 are what create the chances others finish.

Transfer Intelligence

Declan Rice delivers 86% of the same playing style, at a 1100% premium over Granit Xhaka, with 1.91 key passes per 90 at age 27.

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

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Comparison Base
Granit Xhaka
MidfielderSwitzerland€10.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
D
Declan Rice
Arsenal · Premier League
England27yContract 2028
KP/901.91
G/900.12
MetronomeCreative
Last 5: ↓ Dip
vs Xhaka: €110M more expensive · 6y younger
86% match
€120.0M
#2
M
Martín Zubimendi
Arsenal · Premier League
Spain27yContract 2030
KP/900.59
G/900.15
Metronome
Last 5: ↑ Hot
vs Xhaka: €70M more expensive · 6y younger
84% match
€80.0M
#3
M
Manuel Locatelli
Juventus · Serie A
Italy28yContract 2028
KP/901.88
G/900.00
MetronomeDefensive
Last 5: ↓ Dip
vs Xhaka: €15M more expensive · 5y younger
84% match
€25.0M
#4
D
Dani Ceballos
Real Madrid · La Liga
Spain29yContract 2027
KP/901.37
G/900.00
MetronomeCreative
85% match
€8.0M
#5
M
Martin Ødegaard
Arsenal · Premier League
Norway27yContract 2028
KP/902.74
G/900.07
CreatorCreative
Last 5: → Stable
84% match
€65.0M
#6
S
Sander Berge
Fulham · Premier League
Norway28yContract 2029
KP/900.58
G/900.00
Box-to-Box
Last 5: ↑ Hot
83% match
€25.0M
#7
N
Nico González
Manchester City · Premier League
Spain24yContract 2029
KP/900.61
G/900.06
Metronome
Last 5: ↑ Hot
83% match
€45.0M
#8
A
Albert Sambi Lokonga
Hamburger SV · Bundesliga
Belgium26yContract 2028
KP/901.32
G/900.50
Box-to-Box
84% match
€8.0M
#9
D
Denis Zakaria
Monaco · Ligue 1
Switzerland29yContract 2028
KP/900.51
G/900.00
Ball-WinnerDefensive
Last 5: ↓ Dip
83% match
€25.0M
#10
R
Remo Freuler
Bologna · Serie A
Switzerland34yContract 2026
KP/900.83
G/900.00
Chance Creator
Last 5: → Stable
84% match
€4.0M
#11
M
Medon Berisha
Lecce · Serie A
Albania22yContract 2028
KP/902.04
G/900.27
CreatorCreative
83% match
€6.0M
#12
M
Mateo Kovacic 
Manchester City · Premier League
Croatia32yContract 2027
KP/901.25
G/900.25
MetronomeDefensive
Last 5: ↑ Hot
83% match
€15.0M

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 Granit Xhaka.

Ask AI about Granit Xhaka

Frequently Asked Questions

Who are the best alternatives to Granit Xhaka?
The top alternatives to Granit Xhaka based on AI DNA playing style analysis include: Declan Rice, Martín Zubimendi, Manuel Locatelli, Dani Ceballos, Martin Ødegaard. 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 Granit Xhaka in 2026?
Players with a similar profile to Granit Xhaka in 2026 include Declan Rice (€120.0M), Martín Zubimendi (€80.0M), Manuel Locatelli (€25.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Granit Xhaka play and who plays similarly?
Granit Xhaka plays as a Midfielder. Players with a comparable positional profile include Declan Rice (England, €120.0M); Martín Zubimendi (Spain, €80.0M); Manuel Locatelli (Italy, €25.0M); Dani Ceballos (Spain, €8.0M).
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.