RisingTransfers
AI DNA Similarity

Best Alternatives to Papy Djilobodji

Players most similar to Papy Djilobodji (Defender, €9.5M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Papy Djilobodji

  1. 1.Tiago Djaló87% DNA match·Beşiktaş€7.0M
  2. 2.Danilho Doekhi86% DNA match·FC Union Berlin€13.0M
  3. 3.Emmanuel Agbadou86% DNA match·Beşiktaş€18.0M

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

RT

Intelligence Verdict

Dribbled PastTop 2%
???Bottom 11%

Djilobodji is that rare defensive anomaly...

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Playing Style Analysis

Ball-Playing CBAerial

Djilobodji is that rare defensive anomaly — a centre-back who contributes more to a team's attacking architecture than most midfielders dare to. Playing in Turkey's 1. Lig, his 84.7% pass accuracy and 9.04 passes into the final third per 90 both land in the top 20% among defenders, meaning he isn't just recycling possession — he's genuinely driving it forward. The three most similar players to Papy Djilobodji by playing style are:

  • Tiago Djaló(87% match)Djaló has carved out a quietly compelling identity in the Super Lig: a centre-back who wins headers, reads danger, and occasionally finds the net—without ever pretending to be a ball-playing quarterback. His aerial numbers place him in the top 20% of defenders in the league, and his interception rate tells a similar story about positional intelligence rather than reactive scrambling. Here's the counterintuitive part: his low dribble and key pass figures look like limitations, but they actually reflect discipline—he doesn't force situations that aren't his to own.
  • Danilho Doekhi(86% match)A Physical Stopper. Statistically, he stands out as a regular goalscorer (0.33 goals/90), commanding in the air (5.3 clearances/90), wins the physical battle (62% duel success), dominant in the air (4.8 aerials won/90, 63%) and uses long balls frequently (7.5/90). Note: this profile is based on 540 minutes of playing time this season.
  • Emmanuel Agbadou(86% match)A Ball-Playing CB. Statistically, he stands out as an aggressive ball-winner (2.6 tackles/90), commanding in the air (5.3 clearances/90), wins the physical battle (64% duel success), penetrates with forward passing (9.7 final-third passes/90), wins the ball cleanly (1.9 successful tackles/90), central to possession (71 touches/90), uses long balls frequently (9.6/90) and a high-intensity presser (press score 3.0/90), constantly disrupting opposition build-up.

Transfer Intelligence

Tiago Djaló delivers 87% of the same playing style, at 26% lower cost (€7.0M vs €9.5M), with 1.48 tackles won per 90 at age 26.

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

P
Comparison Base
Papy Djilobodji
DefenderSenegal€9.5M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
T
Tiago Djaló
Beşiktaş · Super Lig
Portugal26yContract 2028
Tkl/901.48
KP/900.25
Ball-Playing CBAerial
Last 5: ↑ Hot
vs Djilobodji: 11y younger
87% match
€7.0M
#2
D
Danilho Doekhi
FC Union Berlin · Bundesliga
Netherlands27yContract 2026
Tkl/901.00
KP/900.29
Physical StopperAerial
vs Djilobodji: 10y younger
86% match
€13.0M
#3
E
Emmanuel Agbadou
Beşiktaş · Premier League
Ivory Coast28yContract 2029
Tkl/902.62
KP/900.33
Ball-Playing CBAerial
Last 5: → Stable
vs Djilobodji: €9M more expensive · 9y younger
86% match
€18.0M
#4
O
Odilon Kossounou
Atalanta · Serie A
Ivory Coast25yContract 2029
Tkl/901.33
KP/900.11
Ball-Playing CBBall-Playing
Last 5: → Stable
85% match
€22.0M
#5
J
Jaka Bijol
Leeds United · Premier League
Slovenia27yContract 2030
Tkl/901.30
KP/900.36
Ball-Playing CBAerial
Last 5: ↓ Dip
85% match
€18.0M
#6
A
Arseniy Batagov
Trabzonspor · Super Lig
Ukraine24yContract 2028
Tkl/901.82
KP/900.62
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
85% match
€11.0M
#7
S
Samson Baidoo
Lens · Ligue 1
Austria22yContract 2030
Tkl/901.98
KP/900.28
Ball-Playing CBAerial
Last 5: → Stable
85% match
€12.0M
#8
C
Clément Akpa
Auxerre · Ligue 1
France24yContract 2028
Tkl/901.45
KP/900.09
Ball-Playing CBAerial
Last 5: ↓ Dip
85% match
€8.0M
#9
A
Abdülkerim Bardakcı
Galatasaray · Super Lig
Turkey31yContract 2027
Tkl/901.45
KP/900.56
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
85% match
€6.5M
#10
B
Berat Djimsiti
Atalanta · Serie A
Albania33yContract 2026
Tkl/901.93
KP/900.19
Ball-Playing CBBall-Playing
Last 5: → Stable
84% match
€5.0M
#11
E
Eren Elmalı
Galatasaray · Super Lig
Turkey25yContract 2028
Tkl/901.95
KP/901.51
Active Full-Back
Last 5: ↑ Hot
85% match
€5.0M
#12
C
Chibuike Nwaiwu
Trabzonspor · Super Lig
Nigeria22yContract 2030
Tkl/902.43
KP/900.29
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
85% 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 Papy Djilobodji.

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Frequently Asked Questions

Who are the best alternatives to Papy Djilobodji?
The top alternatives to Papy Djilobodji based on AI DNA playing style analysis include: Tiago Djaló, Danilho Doekhi, Emmanuel Agbadou, Odilon Kossounou, Jaka Bijol. 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 Papy Djilobodji in 2026?
Players with a similar profile to Papy Djilobodji in 2026 include Tiago Djaló (€7.0M), Danilho Doekhi (€13.0M), Emmanuel Agbadou (€18.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Papy Djilobodji play and who plays similarly?
Papy Djilobodji plays as a Defender. Players with a comparable positional profile include Tiago Djaló (Portugal, €7.0M); Danilho Doekhi (Netherlands, €13.0M); Emmanuel Agbadou (Ivory Coast, €18.0M); Odilon Kossounou (Ivory Coast, €22.0M).
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.