RisingTransfers
AI DNA Similarity

Best Alternatives to Reinildo Mandava

Players most similar to Reinildo Mandava (Defender, €5.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Reinildo Mandava

  1. 1.Jorrel Hato87% DNA match·Chelsea€35.0M
  2. 2.Ian Maatsen86% DNA match·Aston Villa€25.0M
  3. 3.Aurèle Amenda86% DNA match·Eintracht Frankfurt€6.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 0%

A Defender....

See Full Verdict + Share Card →

Playing Style Analysis

A Defender. Statistically, he stands out as naturally left-footed, active in the tackle (1.8 tackles/90), reads the game exceptionally (1.5 interceptions/90), meticulous in distribution (86% pass accuracy), wins the physical battle (55% duel success) and active off the ball (2.4 press score/90), contributing to defensive transitions. The three most similar players to Reinildo Mandava by playing style are:

  • Jorrel Hato(87% match)A Active Full-Back. Statistically, he stands out as naturally left-footed, an aggressive ball-winner (3.1 tackles/90), meticulous in distribution (92% pass accuracy), wins the physical battle (57% duel success), wins the ball cleanly (1.9 successful tackles/90), central to possession (79 touches/90), active off the ball (2.6 press score/90), contributing to defensive transitions and top 10% tackler in the league.
  • Ian Maatsen(86% match)A Active Full-Back. Statistically, he stands out as naturally left-footed, a capable chance creator (1.4 key passes/90), active in the tackle (2.3 tackles/90), meticulous in distribution (86% pass accuracy), central to possession (72 touches/90) and active off the ball (2.6 press score/90), contributing to defensive transitions.
  • Aurèle Amenda(86% 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.

Transfer Intelligence

Jorrel Hato delivers 87% of the same playing style, at a 600% premium over Reinildo Mandava, with 3.15 tackles won per 90 at age 20.

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

R
Comparison Base
Reinildo Mandava
DefenderMozambique€5.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
J
Jorrel Hato
Chelsea · Premier League
Netherlands20yContract 2032
Tkl/903.15
KP/900.63
Active Full-BackBall-Playing
Last 5: → Stable
vs Mandava: €30M more expensive · 12y younger
87% match
€35.0M
#2
I
Ian Maatsen
Aston Villa · Premier League
Netherlands24yContract 2030
Tkl/902.33
KP/901.44
Active Full-Back
Last 5: ↓ Dip
vs Mandava: €20M more expensive · 8y younger
86% match
€25.0M
#3
A
Aurèle Amenda
Eintracht Frankfurt · Bundesliga
Switzerland22yContract 2029
Tkl/900.65
KP/900.16
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
vs Mandava: 10y younger
86% match
€6.0M
#4
M
Michael Kayode
Brentford · Premier League
Italy21yContract 2030
Tkl/901.87
KP/900.99
Active Full-Back
Last 5: → Stable
85% match
€35.0M
#5
N
Nicolò Savona
Nottingham Forest · Premier League
Italy23yContract 2030
Tkl/901.84
KP/900.61
85% match
€18.0M
#6
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
#7
C
Calvin Bassey
Fulham · Premier League
Nigeria26yContract 2027
Tkl/902.22
KP/900.34
Ball-Playing CBBall-Playing
Last 5: → Stable
85% match
€28.0M
#8
K
Kenny Tete
Fulham · Premier League
Netherlands30yContract 2028
Tkl/903.26
KP/900.55
Physical Stopper
Last 5: → Stable
85% match
€11.0M
#9
R
Rico Henry
Brentford · Premier League
England28yContract 2026
Tkl/901.02
KP/900.27
Last 5: ↓ Dip
85% match
€15.0M
#10
N
Neco Williams
Nottingham Forest · Premier League
Wales25yContract 2029
Tkl/902.71
KP/901.07
Active Full-Back
Last 5: → Stable
84% match
€25.0M
#11
A
Adrien Truffert
AFC Bournemouth · Premier League
France24yContract 2030
Tkl/902.62
KP/900.76
Active Full-Back
Last 5: ↓ Dip
84% match
€20.0M
#12
A
Abdukodir Khusanov
Manchester City · Premier League
Uzbekistan22yContract 2029
Tkl/901.95
KP/900.43
Ball-Playing CBBall-Playing
Last 5: → Stable
85% match
€35.0M

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 Reinildo Mandava.

Ask AI about Reinildo Mandava

Frequently Asked Questions

Who are the best alternatives to Reinildo Mandava?
The top alternatives to Reinildo Mandava based on AI DNA playing style analysis include: Jorrel Hato, Ian Maatsen, Aurèle Amenda, Michael Kayode, Nicolò Savona. 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 Reinildo Mandava in 2026?
Players with a similar profile to Reinildo Mandava in 2026 include Jorrel Hato (€35.0M), Ian Maatsen (€25.0M), Aurèle Amenda (€6.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Reinildo Mandava play and who plays similarly?
Reinildo Mandava plays as a Defender. Players with a comparable positional profile include Jorrel Hato (Netherlands, €35.0M); Ian Maatsen (Netherlands, €25.0M); Aurèle Amenda (Switzerland, €6.0M); Michael Kayode (Italy, €35.0M).
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.