RisingTransfers
AI DNA Similarity

Best Alternatives to Timothée Kolodziejczak

Players most similar to Timothée Kolodziejczak (Defender, €4.5M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Timothée Kolodziejczak

  1. 1.Nicolas Cozza85% DNA match·Nantes€3.0M
  2. 2.Jérémy Jacquet84% DNA match·Rennes€20.0M
  3. 3.Clément Akpa83% DNA match·Auxerre€8.0M

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

RT

Intelligence Verdict

Aerials WonTop 15%
???Bottom 13%

A Ball-Playing CB....

See Full Verdict + Share Card →

Playing Style Analysis

Ball-Playing CBBall-PlayingAerialSmall Sample

A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.3 clearances/90), meticulous in distribution (90% pass accuracy), heavily involved in possession (63 passes/90), central to possession (74 touches/90), uses long balls frequently (6.0/90) and active off the ball (2.2 press score/90), contributing to defensive transitions. Note: this profile is based on 582 minutes of playing time this season. The three most similar players to Timothée Kolodziejczak by playing style are:

  • Nicolas Cozza(85% match)A Solid Defender. Statistically, he stands out as naturally left-footed, a reliable supplier (0.15 assists/90), an aggressive ball-winner (2.8 tackles/90), wins the physical battle (60% duel success), wins the ball cleanly (1.9 successful tackles/90), uses long balls frequently (5.7/90), active off the ball (2.5 press score/90), contributing to defensive transitions and top 10% tackler in the league. Note: this profile is based on 611 minutes of playing time this season.
  • Jérémy Jacquet(84% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (6.6 clearances/90), meticulous in distribution (89% pass accuracy), wins the physical battle (76% duel success), central to possession (72 touches/90), uses long balls frequently (6.6/90) and active off the ball (2.1 press score/90), contributing to defensive transitions. Note: this profile is based on 789 minutes of playing time this season.
  • Clément Akpa(83% match)A Ball-Playing CB. Statistically, he stands out as naturally left-footed, commanding in the air (4.3 clearances/90), wins the physical battle (60% duel success), penetrates with forward passing (8.4 final-third passes/90), uses long balls frequently (10.2/90) and active off the ball (2.2 press score/90), contributing to defensive transitions.

Transfer Intelligence

Nicolas Cozza delivers 85% of the same playing style, at 33% lower cost (€3.0M vs €4.5M), with 2.80 tackles won per 90 at age 27.

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

T
Comparison Base
Timothée Kolodziejczak
DefenderFrance€4.5M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
N
Nicolas Cozza
Nantes · Ligue 1
France27yContract 2026
Tkl/902.80
KP/900.15
Solid DefenderSmall Sample
Last 5: → Stable
vs Kolodziejczak: 7y younger
85% match
€3.0M
#2
J
Jérémy Jacquet
Rennes · Ligue 1
France20yContract 2029
Tkl/901.14
KP/900.68
Ball-Playing CBBall-Playing
vs Kolodziejczak: €16M more expensive · 14y younger
84% match
€20.0M
#3
C
Clément Akpa
Auxerre · Ligue 1
France24yContract 2028
Tkl/901.45
KP/900.09
Ball-Playing CBAerial
Last 5: ↓ Dip
vs Kolodziejczak: 10y younger
83% match
€8.0M
#4
T
Tylel Tati
Nantes · Ligue 1
France18yContract 2028
Tkl/901.00
KP/900.20
Ball-Playing CBBall-Playing
83% match
€12.0M
#5
A
Arsène Kouassi
Lorient · Ligue 1
Burkina Faso21yContract 2029
Tkl/900.74
KP/901.27
Active Full-BackSmall Sample
83% match
€7.0M
#6
J
Junior Diaz
Brest · Ligue 1
France22yContract 2026
Tkl/900.80
KP/900.00
Ball-Playing CBAerial
83% match
€5.0M
#7
I
Ismaël Doukouré
Strasbourg · Ligue 1
France22yContract 2026
Tkl/901.52
KP/900.10
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
83% match
€18.0M
#8
M
Moussa Niakhaté
Olympique Lyonnais · Ligue 1
Senegal30yContract 2028
Tkl/900.85
KP/900.36
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
82% match
€15.0M
#9
S
Soumaïla Coulibaly
Brest · Ligue 1
France22yContract 2026
Tkl/900.86
KP/900.34
Ball-Playing CBAerial
83% match
€7.0M
#10
B
Bradley Locko
Brest · Ligue 1
France24yContract 2027
Tkl/904.66
KP/901.23
Active Full-Back
83% match
€7.0M
#11
T
Terry Yegbe
Metz · Ligue 1
Ghana25yContract 2029
Tkl/900.82
KP/900.27
Ball-Playing CBAerial
Last 5: → Stable
82% match
€3.0M
#12
P
Przemyslaw Frankowski
Rennes · Ligue 1
Poland31yContract 2026
Tkl/902.79
KP/902.02
Active Full-BackSmall Sample
83% match
€7.0M

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 Timothée Kolodziejczak.

Ask AI about Timothée Kolodziejczak

Frequently Asked Questions

Who are the best alternatives to Timothée Kolodziejczak?
The top alternatives to Timothée Kolodziejczak based on AI DNA playing style analysis include: Nicolas Cozza, Jérémy Jacquet, Clément Akpa, Tylel Tati, Arsène Kouassi. 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 Timothée Kolodziejczak in 2026?
Players with a similar profile to Timothée Kolodziejczak in 2026 include Nicolas Cozza (€3.0M), Jérémy Jacquet (€20.0M), Clément Akpa (€8.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Timothée Kolodziejczak play and who plays similarly?
Timothée Kolodziejczak plays as a Defender. Players with a comparable positional profile include Nicolas Cozza (France, €3.0M); Jérémy Jacquet (France, €20.0M); Clément Akpa (France, €8.0M); Tylel Tati (France, €12.0M).
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.