RisingTransfers
AI DNA Similarity

Best Alternatives to Anis Mehmeti

Players most similar to Anis Mehmeti (Midfielder, €14.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Anis Mehmeti

  1. 1.Medon Berisha85% DNA match·Lecce€6.0M
  2. 2.Ramiz Zerrouki83% DNA match·FC Twente€7.2M
  3. 3.Anton Stach83% DNA match·Leeds United€20.0M

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

RT

Intelligence Verdict

ShotsTop 4%
???Bottom 8%

A Creator....

See Full Verdict + Share Card →

Playing Style Analysis

CreatorCreative

A Creator. Statistically, he stands out as an elite creator (1.8 key passes/90), a constant goal threat (2.8 shots/90), a regular goalscorer (0.31 goals/90), a reliable supplier (0.23 assists/90), active off the ball (2.2 press score/90), contributing to defensive transitions and top 20% creator in the league. However, he loses possession under pressure (1.9 dispossessed/90). The three most similar players to Anis Mehmeti by playing style are:

  • Medon Berisha(85% match)A Creator. Statistically, he stands out as an elite creator (2.0 key passes/90), a regular goalscorer (0.27 goals/90), a prolific assist provider (0.41 assists/90), active in the tackle (2.5 tackles/90), wins the physical battle (56% duel success), creates high-quality scoring opportunities (0.68 big chances/90), heavily involved in play (58 touches/90), uses long balls frequently (6.4/90), active off the ball (2.5 press score/90), contributing to defensive transitions and top 20% creator in the league. Note: this profile is based on 660 minutes of playing time this season.
  • Ramiz Zerrouki(83% match)A Metronome. Statistically, he stands out as an elite creator (1.6 key passes/90), active in the tackle (2.3 tackles/90), penetrates with forward passing (11.6 final-third passes/90), central to possession (73 touches/90), switches play with precision (7.7 long balls/90, 63% accuracy) and active off the ball (2.8 press score/90), contributing to defensive transitions.
  • Anton Stach(83% match)A Box-to-Box. Statistically, he stands out as an elite creator (2.5 key passes/90), a regular goalscorer (0.20 goals/90), active in the tackle (2.4 tackles/90), heavily involved in play (58 touches/90), active off the ball (2.5 press score/90), contributing to defensive transitions and top 10% creator in the league.

Transfer Intelligence

Medon Berisha delivers 85% of the same playing style, at 57% lower cost (€6.0M vs €14.0M), with 2.04 key passes per 90 at age 22.

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

A
Comparison Base
Anis Mehmeti
MidfielderAlbania€14.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
M
Medon Berisha
Lecce · Serie A
Albania22yContract 2028
KP/902.04
G/900.27
CreatorCreative
vs Mehmeti: €8M cheaper · 3y younger
85% match
€6.0M
#2
R
Ramiz Zerrouki
FC Twente · Eredivisie
Algeria27y
KP/901.56
G/900.11
MetronomeCreative
Last 5: ↑ Hot
vs Mehmeti: €7M cheaper · 2y older
83% match
€7.2M
#3
A
Anton Stach
Leeds United · Premier League
Germany27yContract 2029
KP/902.46
G/900.20
Box-to-BoxCreative
Last 5: → Stable
vs Mehmeti: €6M more expensive · 2y older
83% match
€20.0M
#4
J
Justin Devenny
Crystal Palace · Premier League
Scotland22yContract 2027
KP/900.89
G/900.13
CreatorDefensive
83% match
€8.0M
#5
F
Florian Wirtz
Liverpool · Premier League
Germany23yContract 2030
KP/902.34
G/900.19
CreatorCreative
Last 5: → Stable
82% match
€110.0M
#6
F
Florent Hadergjonaj
Alanyaspor · Super Lig
Kosovo31yContract 2027
KP/901.78
G/900.25
CreatorCreative
Last 5: → Stable
83% match
€5.0M
#7
D
Danel Sinani
St. Pauli · Bundesliga
Luxembourg29y
KP/902.13
G/900.43
CreatorCreative
83% match
€3.0M
#8
X
Xavi Simons
Tottenham Hotspur · Premier League
Netherlands23yContract 2030
KP/901.79
G/900.10
CreatorCreative
Last 5: → Stable
83% match
€60.0M
#9
L
Luis Hasa
Napoli · Serie A
Italy22yContract 2026
KP/900.90
G/900.36
Box-to-Box
Last 5: ↑ Hot
83% match
€3.0M
#10
M
Morgan Gibbs-White
Nottingham Forest · Premier League
England26yContract 2027
KP/901.41
G/900.40
Creator
Last 5: ↓ Dip
82% match
€65.0M
#11
E
Enis Bardhi
Konyaspor · Super Lig
Macedonia30yContract 2027
KP/902.44
G/900.22
CreatorCreative
Last 5: → Stable
82% match
€3.0M
#12
L
Leon Avdullahu
TSG Hoffenheim · Bundesliga
Switzerland22yContract 2029
KP/901.02
G/900.00
MetronomeSmall Sample
Last 5: ↑ Hot
82% match
€17.0M

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 Anis Mehmeti.

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Frequently Asked Questions

Who are the best alternatives to Anis Mehmeti?
The top alternatives to Anis Mehmeti based on AI DNA playing style analysis include: Medon Berisha, Ramiz Zerrouki, Anton Stach, Justin Devenny, Florian Wirtz. 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 Anis Mehmeti in 2026?
Players with a similar profile to Anis Mehmeti in 2026 include Medon Berisha (€6.0M), Ramiz Zerrouki (€7.2M), Anton Stach (€20.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Anis Mehmeti play and who plays similarly?
Anis Mehmeti plays as a Midfielder. Players with a comparable positional profile include Medon Berisha (Albania, €6.0M); Ramiz Zerrouki (Algeria, €7.2M); Anton Stach (Germany, €20.0M); Justin Devenny (Scotland, €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.