RisingTransfers
AI DNA Similarity

Best Alternatives to Aïssa Mandi

Players most similar to Aïssa Mandi (Defender, €1.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Aïssa Mandi

  1. 1.Antoine Mendy89% DNA match·Nice€4.0M
  2. 2.Facundo Medina86% DNA match·Olympique Marseille€18.0M
  3. 3.Sinaly Diomandé86% DNA match·Auxerre€4.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%

A Ball-Playing CB....

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Playing Style Analysis

Ball-Playing CBBall-PlayingAerialSmall Sample

A Ball-Playing CB. Statistically, he stands out as commanding in the air (4.3 clearances/90), reads the game exceptionally (1.6 interceptions/90), meticulous in distribution (90% pass accuracy), wins the physical battle (61% duel success), heavily involved in possession (61 passes/90), central to possession (73 touches/90), switches play with precision (7.7 long balls/90, 65% accuracy) and active off the ball (2.7 press score/90), contributing to defensive transitions. Note: this profile is based on 630 minutes of playing time this season. The three most similar players to Aïssa Mandi by playing style are:

  • Antoine Mendy(89% 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.
  • Facundo Medina(86% match)A Ball-Playing CB. Statistically, he stands out as naturally left-footed, reads the game exceptionally (2.1 interceptions/90), meticulous in distribution (94% pass accuracy), heavily involved in possession (77 passes/90), penetrates with forward passing (10.8 final-third passes/90), central to possession (91 touches/90) and active off the ball (2.8 press score/90), contributing to defensive transitions. Note: this profile is based on 467 minutes of playing time this season.
  • Sinaly Diomandé(86% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.8 clearances/90), meticulous in distribution (86% pass accuracy), wins the physical battle (59% duel success), uses long balls frequently (6.0/90) and active off the ball (2.1 press score/90), contributing to defensive transitions. Note: this profile is based on 805 minutes of playing time this season.

Transfer Intelligence

Antoine Mendy delivers 89% of the same playing style, at a 300% premium over Aïssa Mandi, with 3.14 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 →

A
Comparison Base
Aïssa Mandi
DefenderAlgeria€1.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
A
Antoine Mendy
Nice · Ligue 1
France21yContract 2028
Tkl/903.14
KP/900.00
Ball-Playing CBAerial
Last 5: → Stable
vs Mandi: 13y younger
89% match
€4.0M
#2
F
Facundo Medina
Olympique Marseille · Ligue 1
Argentina26yContract 2026
Tkl/901.54
KP/900.58
Ball-Playing CBBall-Playing
vs Mandi: €17M more expensive · 8y younger
86% match
€18.0M
#3
S
Sinaly Diomandé
Auxerre · Ligue 1
Ivory Coast25yContract 2027
Tkl/901.34
KP/900.22
Ball-Playing CBAerial
Last 5: → Stable
vs Mandi: 9y younger
86% match
€4.0M
#4
N
Nayef Aguerd
Olympique Marseille · Ligue 1
Morocco30y
Tkl/902.00
KP/900.00
Ball-Playing CBBall-Playing
86% match
€35.0M
#5
A
Arouna Sangante
Le Havre · Ligue 1
Senegal24yContract 2026
Tkl/900.88
KP/900.29
Physical StopperAerial
85% match
€8.0M
#6
J
Jonathan Gradit
Lens · Ligue 1
France33yContract 2028
Tkl/902.66
KP/900.00
Ball-Playing CBAerial
85% match
€3.0M
#7
I
Ismaëlo Ganiou
Lens · Ligue 1
France21yContract 2027
Tkl/902.83
KP/900.33
Ball-Playing CBBall-Playing
Last 5: → Stable
85% match
€3.0M
#8
R
Ruben Aguilar
Lens · Ligue 1
France33yContract 2028
Tkl/902.01
KP/902.68
Active Full-Back
Last 5: ↓ Dip
85% match
€3.0M
#9
A
Abakar Sylla
Nantes · Ligue 1
Ivory Coast23yContract 2028
Tkl/902.52
KP/900.11
Ball-Playing CBBall-Playing
85% match
€3.0M
#10
G
Gideon Mensah
Auxerre · Ligue 1
Ghana27yContract 2026
Tkl/901.82
KP/900.61
Active Full-BackSmall Sample
Last 5: → Stable
85% match
€3.5M
#11
S
Saud Abdulhamid
Lens · Ligue 1
Saudi Arabia26yContract 2026
Tkl/902.08
KP/902.29
Active Full-Back
Last 5: → Stable
85% match
€3.0M
#12
T
Tylel Tati
Nantes · Ligue 1
France18yContract 2028
Tkl/901.00
KP/900.20
Ball-Playing CBBall-Playing
84% match
€12.0M

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 Aïssa Mandi.

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Frequently Asked Questions

Who are the best alternatives to Aïssa Mandi?
The top alternatives to Aïssa Mandi based on AI DNA playing style analysis include: Antoine Mendy, Facundo Medina, Sinaly Diomandé, Nayef Aguerd, Arouna Sangante. 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 Aïssa Mandi in 2026?
Players with a similar profile to Aïssa Mandi in 2026 include Antoine Mendy (€4.0M), Facundo Medina (€18.0M), Sinaly Diomandé (€4.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Aïssa Mandi play and who plays similarly?
Aïssa Mandi plays as a Defender. Players with a comparable positional profile include Antoine Mendy (France, €4.0M); Facundo Medina (Argentina, €18.0M); Sinaly Diomandé (Ivory Coast, €4.0M); Nayef Aguerd (Morocco, €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.