AI DNA Similarity
Best Alternatives to Livano Comenencia
Players most similar to Livano Comenencia (Defender, €3.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Livano Comenencia
- 1.Aurèle Amenda85% DNA match·Eintracht Frankfurt€6.0M
- 2.Mohamed Abdelmonem 85% DNA match·Nice€3.0M
- 3.Antoine Mendy84% DNA match·Nice€4.0M
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
InterceptionsTop 1%
“A Physical Stopper....”
See Full Verdict + Share Card →Playing Style Analysis
Physical Stopper
A Physical Stopper. Statistically, he stands out as an aggressive ball-winner (2.6 tackles/90), reads the game exceptionally (2.0 interceptions/90) and active off the ball (2.7 press score/90), contributing to defensive transitions. The three most similar players to Livano Comenencia by playing style are:
- Aurèle Amenda(85% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (6.5 clearances/90), reads the game exceptionally (1.5 interceptions/90), meticulous in distribution (88% pass accuracy), wins the physical battle (64% duel success), heavily involved in possession (75 passes/90), penetrates with forward passing (8.9 final-third passes/90), central to possession (91 touches/90), dominant in the air (4.6 aerials won/90, 67%), uses long balls frequently (6.3/90) and active off the ball (2.3 press score/90), contributing to defensive transitions.
- Mohamed Abdelmonem (85% match) — A Ball-Playing CB. Statistically, he stands out as active in the tackle (2.1 tackles/90), commanding in the air (5.4 clearances/90), reads the game exceptionally (1.6 interceptions/90), meticulous in distribution (90% pass accuracy), wins the physical battle (62% duel success) and dominant in the air (3.4 aerials won/90, 60%). Note: this profile is based on 856 minutes of playing time this season.
- Antoine Mendy(84% match) — A Ball-Playing CB. Statistically, he stands out as an aggressive ball-winner (3.3 tackles/90), commanding in the air (7.3 clearances/90), meticulous in distribution (85% pass accuracy), wins the physical battle (66% duel success), wins the ball cleanly (2.4 successful tackles/90), dominant in the air (3.3 aerials won/90, 76%), 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 630 minutes of playing time this season.
Transfer Intelligence
Aurèle Amenda delivers 85% of the same playing style, at a 100% premium over Livano Comenencia, with 0.65 tackles won per 90 at age 22.
Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →
Similar Players — Ranked by DNA Similarity
#1
A
Aurèle Amenda
Eintracht Frankfurt · Bundesliga
Switzerland22yContract 2029
Tkl/900.65
KP/900.16
Ball-Playing CBBall-Playing
Last 5: ↓ Dip85% match
€6.0M
#2
M
Mohamed Abdelmonem
Nice · Ligue 1
Egypt27yContract 2028
Tkl/902.11
KP/900.00
Ball-Playing CBAerial
vs Comenencia: 5y older
85% match
€3.0M
#3
A
Antoine Mendy
Nice · Ligue 1
France21yContract 2028
Tkl/903.14
KP/900.00
Ball-Playing CBAerial
Last 5: → Stable84% match
€4.0M
#4
D
Dimitrije Kamenovic
Lazio · Serie A
Serbia25yContract 2026
Tkl/900.20
KP/900.20
Active Full-BackAerial
Last 5: ↑ Hot85% match
€3.0M
#5
D
David Affengruber
Elche · La Liga
Austria25yContract 2026
Tkl/902.10
KP/900.30
Ball-Playing CBBall-Playing
Last 5: → Stable84% match
€9.0M
#6
J
Jordan Torunarigha
Hamburger SV · Bundesliga
Nigeria28yContract 2028
Tkl/901.86
KP/900.23
Ball-Playing CBAerial
85% match
€4.0M
#7
J
Jordy Makengo
SC Freiburg · Bundesliga
France24y
Tkl/901.50
KP/900.30
Aerial
Last 5: → Stable85% match
€6.0M
#8
F
Facundo Medina
Olympique Marseille · Ligue 1
Argentina26yContract 2026
Tkl/901.54
KP/900.58
Ball-Playing CBBall-Playing
84% match
€18.0M
#9
W
Warmed Omari
Hamburger SV · Bundesliga
France26yContract 2030
Tkl/902.50
KP/900.50
Ball-Playing CBAerial
84% match
€3.0M
#10
J
Jorge Cuenca
Fulham · Premier League
Spain26yContract 2028
Tkl/901.64
KP/900.29
Ball-Playing CBBall-Playing
Last 5: ↓ Dip84% match
€8.0M
#11
M
Marvin Senaya
Auxerre · Ligue 1
France25yContract 2029
Tkl/902.79
KP/900.27
Reading DefenderSmall Sample
Last 5: → Stable84% match
€3.0M
#12
J
José Copete
Valencia · La Liga
Spain26yContract 2029
Tkl/901.42
KP/900.28
Ball-Playing CBAerial
83% match
€4.0M
⬡
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 Livano Comenencia.
Ask AI about Livano Comenencia →Frequently Asked Questions
Who are the best alternatives to Livano Comenencia?▼
The top alternatives to Livano Comenencia based on AI DNA playing style analysis include: Aurèle Amenda, Mohamed Abdelmonem , Antoine Mendy, Dimitrije Kamenovic, David Affengruber. 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 Livano Comenencia in 2026?▼
Players with a similar profile to Livano Comenencia in 2026 include Aurèle Amenda (€6.0M), Mohamed Abdelmonem (€3.0M), Antoine Mendy (€4.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Livano Comenencia play and who plays similarly?▼
Livano Comenencia plays as a Defender. Players with a comparable positional profile include Aurèle Amenda (Switzerland, €6.0M); Mohamed Abdelmonem (Egypt, €3.0M); Antoine Mendy (France, €4.0M); Dimitrije Kamenovic (Serbia, €3.0M).
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.