RisingTransfers
AI DNA Similarity

Best Alternatives to Modibo Sagnan

Players most similar to Modibo Sagnan (Defender, €3.2M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Modibo Sagnan

  1. 1.Felix Uduokhai86% DNA match·Beşiktaş€4.0M
  2. 2.Samet Akaydin85% DNA match·Rizespor€3.7M
  3. 3.Ümit Akdağ85% DNA match·Alanyaspor€4.0M

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

RT

Intelligence Verdict

Press IntensityTop 8%
???Bottom 17%

Sagnan is a proactive, high-engagement disruptor who treats the Super Lig as a hunting ground...

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Playing Style Analysis

Reading DefenderAerial Defender

Sagnan is a proactive, high-engagement disruptor who treats the Super Lig as a hunting ground rather than a defensive zone. While his 50% duel success rate suggests a coin-flip reliability, the underlying data reveals a player far more influential than a simple "stay-at-home" center-back. He operates with a pressing intensity that ranks in the league’s top 10%, hunting ball-carriers and ranking in the top 20% for tackles won. The three most similar players to Modibo Sagnan by playing style are:

  • Felix Uduokhai(86% match)Uduokhai is performing like a defensive cheat code in the Süper Lig, a statistical anomaly who combines the brute force of a traditional stopper with the refined distribution of a modern continental anchor. Dominating the air with a 77.8% win rate and mirroring that efficiency on the deck, he sits comfortably in the top 5% for total duel success, effectively turning his defensive third into a "no-fly zone." While his 62.6 passes per 90 suggest a typical ball-player, the counterintuitive reality is his proactive defensive aggression; he isn't just sitting back, as evidenced by his elite press intensity and high interception volume. However, his relative lack of ball-carrying—averaging a pedestrian 0.24 dribbles per 90—indicates a player who is perhaps too risk-averse when space opens up ahead of him.
  • Samet Akaydin(85% match)A Ball-Playing CB. Statistically, he stands out as active in the tackle (1.8 tackles/90), commanding in the air (6.8 clearances/90), reads the game exceptionally (2.2 interceptions/90), meticulous in distribution (87% pass accuracy), uses long balls frequently (6.7/90) and active off the ball (2.6 press score/90), contributing to defensive transitions.
  • Ümit Akdağ(85% match)A Ball-Playing CB. Statistically, he stands out as naturally left-footed, commanding in the air (5.1 clearances/90), wins the physical battle (56% duel success), uses long balls frequently (6.8/90) and active off the ball (2.2 press score/90), contributing to defensive transitions.

Transfer Intelligence

Felix Uduokhai delivers 86% of the same playing style, at a 25% premium over Modibo Sagnan, with 1.92 tackles won per 90 at age 28.

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

M
Comparison Base
Modibo Sagnan
DefenderFrance€3.2M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
F
Felix Uduokhai
Beşiktaş · Super Lig
Germany28yContract 2027
Tkl/901.92
KP/900.24
Reading DefenderAerial Defender
Last 5: ↑ Hot
86% match
€4.0M
#2
S
Samet Akaydin
Rizespor · Super Lig
Turkey32yContract 2026
Tkl/901.82
KP/900.46
Ball-Playing CBAerial
Last 5: → Stable
vs Sagnan: 5y older
85% match
€3.7M
#3
Ü
Ümit Akdağ
Alanyaspor · Super Lig
Romania22yContract 2028
Tkl/901.24
KP/900.62
Ball-Playing CBAerial
Last 5: ↑ Hot
vs Sagnan: 5y younger
85% match
€4.0M
#4
A
Abdul Mumin
Rayo Vallecano · La Liga
Ghana27yContract 2026
Tkl/901.82
KP/900.05
Ball-Playing CBAerial
85% match
€4.0M
#5
S
Stefano Denswil
Kayserispor · Super Lig
Suriname33y
Tkl/900.96
KP/900.23
Ball-Playing CBAerial
Last 5: ↓ Dip
84% match
€6.0M
#6
T
Tiago Djaló
Beşiktaş · Super Lig
Portugal26yContract 2028
Tkl/901.48
KP/900.25
Ball-Playing CBAerial
Last 5: ↑ Hot
84% match
€7.0M
#7
D
Davinson Sánchez
Galatasaray · Super Lig
Colombia29yContract 2027
Tkl/901.74
KP/900.48
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
84% match
€18.0M
#8
C
Clément Akpa
Auxerre · Ligue 1
France24yContract 2028
Tkl/901.45
KP/900.09
Ball-Playing CBAerial
Last 5: ↓ Dip
84% match
€8.0M
#9
C
Chidozie Awaziem
Nantes · Ligue 1
Nigeria29yContract 2028
Tkl/901.60
KP/900.20
Ball-Playing CBAerial
84% match
€3.0M
#10
A
Antoine Mendy
Nice · Ligue 1
France21yContract 2028
Tkl/903.14
KP/900.00
Ball-Playing CBAerial
Last 5: → Stable
84% match
€4.0M
#11
A
Arouna Sangante
Le Havre · Ligue 1
Senegal24yContract 2026
Tkl/900.88
KP/900.29
Physical StopperAerial
84% match
€8.0M
#12
I
Ismail Jakobs
Galatasaray · Super Lig
Senegal26yContract 2027
Tkl/901.89
KP/900.91
Last 5: → Stable
84% match
€6.0M

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 Modibo Sagnan.

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Frequently Asked Questions

Who are the best alternatives to Modibo Sagnan?
The top alternatives to Modibo Sagnan based on AI DNA playing style analysis include: Felix Uduokhai, Samet Akaydin, Ümit Akdağ, Abdul Mumin, Stefano Denswil. 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 Modibo Sagnan in 2026?
Players with a similar profile to Modibo Sagnan in 2026 include Felix Uduokhai (€4.0M), Samet Akaydin (€3.7M), Ümit Akdağ (€4.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Modibo Sagnan play and who plays similarly?
Modibo Sagnan plays as a Defender. Players with a comparable positional profile include Felix Uduokhai (Germany, €4.0M); Samet Akaydin (Turkey, €3.7M); Ümit Akdağ (Romania, €4.0M); Abdul Mumin (Ghana, €4.0M).
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.