RisingTransfers
AI DNA Similarity

Best Alternatives to Odilon Kossounou

Players most similar to Odilon Kossounou (Defender, €22.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Odilon Kossounou

  1. 1.Thomas Kristensen88% DNA match·Udinese€12.0M
  2. 2.Yann Bisseck88% DNA match·Inter€35.0M
  3. 3.Pierre Kalulu87% DNA match·Juventus€32.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 19%

Kossounou has carved out a rare niche in Serie A's defensive landscape: a centre-back who builds...

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Playing Style Analysis

Ball-Playing CBBall-PlayingSmall Sample

Kossounou has carved out a rare niche in Serie A's defensive landscape: a centre-back who builds play with the precision of a deep-lying midfielder while quietly contributing to the scoresheet. His 92.7% pass accuracy places him in the top 5% of defenders in the division—not just neat sideways passes, but 5.27 progressive balls into the final third per 90, suggesting genuine intent to break lines. His goal contribution rate sits in the top 20%, a counterintuitive figure that reveals an underrated offensive threat from set-pieces that opponents routinely underestimate. The three most similar players to Odilon Kossounou by playing style are:

  • Thomas Kristensen(88% match)A Physical Stopper. Statistically, he stands out as commanding in the air (5.8 clearances/90) and wins the physical battle (57% duel success).
  • Yann Bisseck(88% match)Bisseck is the rare centre-back who threatens to embarrass your striker and your midfielder in the same passage of play. Playing in Serie A's top tier, the German-Ivorian defender sits in the top 5% for pass accuracy at 92.9% — a number that reflects genuine composure in tight spaces, not just sideways recycling. His 62.2 passes per 90 place him in the top 10%, meaning he's actively driving possession rather than hiding from it.
  • Pierre Kalulu(87% match)Kalulu has quietly become one of Serie A's most progressive defenders — a ball-carrier in disguise wearing a centre-back's number. His 60.8 passes per 90 and 6.23 passes into the final third both land in the top 20-30% of defenders in the league, figures that reveal a player comfortable initiating attacks rather than simply recycling possession. His key passes per 90 (top 20%) are genuinely remarkable for a defender — higher than many midfielders — suggesting his influence on the final third is being systematically undervalued by clubs still scanning only defensive metrics.

Transfer Intelligence

Thomas Kristensen delivers 88% of the same playing style, at 45% lower cost (€12.0M vs €22.0M), with 1.08 tackles won per 90 at age 24.

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

O
Comparison Base
Odilon Kossounou
DefenderIvory Coast€22.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
T
Thomas Kristensen
Udinese · Serie A
Denmark24yContract 2028
Tkl/901.08
KP/900.08
Physical StopperAerial
Last 5: ↓ Dip
vs Kossounou: €10M cheaper
88% match
€12.0M
#2
Y
Yann Bisseck
Inter · Serie A
Germany25yContract 2029
Tkl/900.98
KP/900.20
Last 5: ↓ Dip
vs Kossounou: €13M more expensive
88% match
€35.0M
#3
P
Pierre Kalulu
Juventus · Serie A
France25yContract 2029
Tkl/902.17
KP/901.25
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Kossounou: €10M more expensive
87% match
€32.0M
#4
A
Arsène Kouassi
Lorient · Ligue 1
Burkina Faso21yContract 2029
Tkl/900.74
KP/901.27
Active Full-BackSmall Sample
86% match
€7.0M
#5
I
Isak Hien
Atalanta · Serie A
Sweden27yContract 2028
Tkl/902.44
KP/900.23
Ball-Playing CBAerial
Last 5: → Stable
86% match
€22.0M
#6
E
Evan Ndicka
Roma · Serie A
France26yContract 2028
Tkl/900.85
KP/900.18
Ball-Playing CBBall-Playing
Last 5: → Stable
86% match
€30.0M
#7
S
Saúl Coco
Torino · Serie A
Equatorial Guinea27yContract 2028
Tkl/901.73
KP/900.47
Ball-Playing CBAerial
86% match
€9.0M
#8
M
Malick Thiaw
Newcastle United · Premier League
Germany24yContract 2029
Tkl/901.29
KP/900.19
Ball-Playing CBAerial
Last 5: ↑ Hot
86% match
€45.0M
#9
M
Manuel Akanji
Inter · Serie A
Switzerland30yContract 2026
Tkl/901.47
KP/900.20
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
86% match
€22.0M
#10
G
Giorgio Scalvini
Atalanta · Serie A
Italy22yContract 2028
Tkl/902.06
KP/900.72
Ball-Playing CBBall-Playing
Last 5: → Stable
86% match
€25.0M
#11
A
Armel Bella-Kotchap
Hellas Verona · Serie A
Germany24yContract 2030
Tkl/901.16
KP/900.00
Physical StopperAerial
87% match
€7.5M
#12
B
Berat Djimsiti
Atalanta · Serie A
Albania33yContract 2026
Tkl/901.93
KP/900.19
Ball-Playing CBBall-Playing
Last 5: → Stable
86% match
€5.0M

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 Odilon Kossounou.

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Frequently Asked Questions

Who are the best alternatives to Odilon Kossounou?
The top alternatives to Odilon Kossounou based on AI DNA playing style analysis include: Thomas Kristensen, Yann Bisseck, Pierre Kalulu, Arsène Kouassi, Isak Hien. 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 Odilon Kossounou in 2026?
Players with a similar profile to Odilon Kossounou in 2026 include Thomas Kristensen (€12.0M), Yann Bisseck (€35.0M), Pierre Kalulu (€32.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Odilon Kossounou play and who plays similarly?
Odilon Kossounou plays as a Defender. Players with a comparable positional profile include Thomas Kristensen (Denmark, €12.0M); Yann Bisseck (Germany, €35.0M); Pierre Kalulu (France, €32.0M); Arsène Kouassi (Burkina Faso, €7.0M).
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.