RisingTransfers
AI DNA Similarity

Best Alternatives to Yerson Mosquera

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

Top 3 Alternatives to Yerson Mosquera

  1. 1.Cristhian Mosquera97% DNA match·Arsenal€35.0M
  2. 2.Murillo87% DNA match·Nottingham Forest€12.0M
  3. 3.Veljko Milosavljevic86% DNA match·AFC Bournemouth€20.0M

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

RT

Intelligence Verdict

ShotsTop 5%
???Bottom 6%

A Physical Stopper....

See Full Verdict + Share Card →

Playing Style Analysis

Physical StopperAerial

A Physical Stopper. Statistically, he stands out as an aggressive ball-winner (2.6 tackles/90), commanding in the air (4.9 clearances/90), wins the physical battle (58% duel success) and active off the ball (2.4 press score/90), contributing to defensive transitions. The three most similar players to Yerson Mosquera by playing style are:

  • Cristhian Mosquera(97% match)A Ball-Playing CB. Statistically, he stands out as an aggressive ball-winner (3.0 tackles/90), commanding in the air (4.2 clearances/90), meticulous in distribution (91% pass accuracy), wins the ball cleanly (2.1 successful tackles/90), central to possession (71 touches/90), active off the ball (2.2 press score/90), contributing to defensive transitions and top 10% tackler in the league. Note: this profile is based on 808 minutes of playing time this season.
  • Murillo(87% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.5 clearances/90), wins the physical battle (56% duel success), uses long balls frequently (7.1/90) and active off the ball (2.5 press score/90), contributing to defensive transitions.
  • Veljko Milosavljevic(86% match)Milosavljevic is the kind of defender who wins games through the pass rather than the tackle—a ball-playing centre-back whose value lives in the build-up phase, not the trenches. His passes into the final third rank in the top 20% of Premier League defenders, and his volume of 46.6 passes per 90 places him above most peers in possession-based systems. Here's the counterintuitive part: his aerial win *rate* sits below average, yet his aerial *volume* lands in the top 30%—he's contesting more duels than most, just not winning them cleanly.

Transfer Intelligence

Cristhian Mosquera delivers 97% of the same playing style, at a 250% premium over Yerson Mosquera, with 3.01 tackles won per 90 at age 21.

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

Y
Comparison Base
Yerson Mosquera
DefenderColombia€10.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
C
Cristhian Mosquera
Arsenal · Premier League
Spain21yContract 2030
Tkl/903.01
KP/900.45
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
vs Mosquera: €25M more expensive · 4y younger
97% match
€35.0M
#2
M
Murillo
Nottingham Forest · Premier League
Brazil23yContract 2029
Tkl/901.48
KP/900.38
Ball-Playing CBAerial
Last 5: → Stable
vs Mosquera: 2y younger
87% match
€12.0M
#3
V
Veljko Milosavljevic
AFC Bournemouth · Premier League
Serbia18yContract 2030
Tkl/901.23
KP/900.24
Aerial Defender
vs Mosquera: €10M more expensive · 7y younger
86% match
€20.0M
#4
M
Morato
Nottingham Forest · Premier League
Brazil24yContract 2029
Tkl/902.08
KP/900.15
Ball-Playing CBAerial
Last 5: ↓ Dip
86% match
€14.0M
#5
M
Malick Thiaw
Newcastle United · Premier League
Germany24yContract 2029
Tkl/901.29
KP/900.19
Ball-Playing CBAerial
Last 5: ↑ Hot
85% match
€45.0M
#6
M
Marc Guéhi
Manchester City · Premier League
England25yContract 2026
Tkl/901.55
KP/900.45
Ball-Playing CBAerial
Last 5: → Stable
85% match
€65.0M
#7
J
Jorge Cuenca
Fulham · Premier League
Spain26yContract 2028
Tkl/901.64
KP/900.29
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
86% match
€8.0M
#8
M
Marcos Senesi
AFC Bournemouth · Premier League
Argentina29yContract 2026
Tkl/901.71
KP/900.69
Ball-Playing CBBall-Playing
Last 5: → Stable
85% match
€22.0M
#9
M
Matheus Nunes
Manchester City · Premier League
Portugal27yContract 2028
Tkl/901.89
KP/900.93
Active Full-BackBall-Playing
Last 5: → Stable
85% match
€45.0M
#10
J
Jair Cunha 
Nottingham Forest · Premier League
Brazil21yContract 2030
Tkl/901.61
KP/900.00
Ball-Playing CBBall-Playing
Last 5: → Stable
85% match
€12.0M
#11
T
Trevoh Chalobah
Chelsea · Premier League
England26yContract 2028
Tkl/901.15
KP/900.16
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
84% match
€40.0M
#12
P
Piero Hincapié
Arsenal · Premier League
Ecuador24yContract 2026
Tkl/902.51
KP/900.69
Ball-Playing CBAerial
Last 5: ↑ Hot
85% match
€50.0M

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 Yerson Mosquera.

Ask AI about Yerson Mosquera

Frequently Asked Questions

Who are the best alternatives to Yerson Mosquera?
The top alternatives to Yerson Mosquera based on AI DNA playing style analysis include: Cristhian Mosquera, Murillo, Veljko Milosavljevic, Morato, Malick Thiaw. 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 Yerson Mosquera in 2026?
Players with a similar profile to Yerson Mosquera in 2026 include Cristhian Mosquera (€35.0M), Murillo (€12.0M), Veljko Milosavljevic (€20.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Yerson Mosquera play and who plays similarly?
Yerson Mosquera plays as a Defender. Players with a comparable positional profile include Cristhian Mosquera (Spain, €35.0M); Murillo (Brazil, €12.0M); Veljko Milosavljevic (Serbia, €20.0M); Morato (Brazil, €14.0M).
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.