AI DNA Similarity
Best Alternatives to Samson Baidoo
Players most similar to Samson Baidoo (Defender, €12.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Samson Baidoo
- 1.Juma Bah87% DNA match·Nice€7.0M
- 2.Loïc Badé87% DNA match·Bayer 04 Leverkusen€25.0M
- 3.Antoine Mendy86% DNA match·Nice€4.0M
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
Aerials WonTop 1%
???Bottom 7%
“A Ball-Playing CB....”
See Full Verdict + Share Card →Playing Style Analysis
Ball-Playing CBAerialSmall Sample
A Ball-Playing CB. Statistically, he stands out as active in the tackle (2.0 tackles/90), commanding in the air (4.4 clearances/90), meticulous in distribution (92% pass accuracy), strong in aerial duels (3.2 aerials won/90) and active off the ball (2.8 press score/90), contributing to defensive transitions. Note: this profile is based on 637 minutes of playing time this season. The three most similar players to Samson Baidoo by playing style are:
- Juma Bah(87% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (7.3 clearances/90), meticulous in distribution (90% pass accuracy), wins the physical battle (61% duel success), central to possession (71 touches/90) and uses long balls frequently (5.7/90). Note: this profile is based on 570 minutes of playing time this season.
- Loïc Badé(87% match) — A Ball-Playing CB. Statistically, he stands out as active in the tackle (2.2 tackles/90), commanding in the air (5.8 clearances/90), reads the game exceptionally (1.8 interceptions/90), meticulous in distribution (89% pass accuracy), wins the physical battle (63% duel success), heavily involved in possession (70 passes/90), blocks shots courageously (2.0 blocks/90), central to possession (88 touches/90), uses long balls frequently (6.6/90) and a high-intensity presser (press score 3.0/90), constantly disrupting opposition build-up. Note: this profile is based on 450 minutes of playing time this season.
- Antoine Mendy(86% 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.
Transfer Intelligence
Juma Bah delivers 87% of the same playing style, at 42% lower cost (€7.0M vs €12.0M), with 1.74 tackles won per 90 at age 20.
Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →
Similar Players — Ranked by DNA Similarity
#1
J
Juma Bah
Nice · Ligue 1
Sierra Leone20yContract 2026
Tkl/901.74
KP/900.16
Ball-Playing CBBall-Playing
Last 5: → Stablevs Baidoo: 2y younger
87% match
€7.0M
#2
L
Loïc Badé
Bayer 04 Leverkusen · Bundesliga
France26yContract 2030
Tkl/902.37
KP/900.59
Ball-Playing CBBall-Playing
vs Baidoo: €13M more expensive · 4y older
87% match
€25.0M
#3
A
Antoine Mendy
Nice · Ligue 1
France21yContract 2028
Tkl/903.14
KP/900.00
Ball-Playing CBAerial
Last 5: → Stablevs Baidoo: €8M cheaper
86% match
€4.0M
#4
K
Kojo Peprah Oppong
Nice · Ligue 1
Ghana21yContract 2029
Tkl/902.21
KP/900.23
Ball-Playing CBAerial
Last 5: → Stable87% match
€4.0M
#5
G
Gideon Mensah
Auxerre · Ligue 1
Ghana27yContract 2026
Tkl/901.82
KP/900.61
Active Full-BackSmall Sample
Last 5: → Stable87% match
€3.5M
#6
D
Danilho Doekhi
FC Union Berlin · Bundesliga
Netherlands27yContract 2026
Tkl/901.00
KP/900.29
Physical StopperAerial
86% match
€13.0M
#7
O
Odilon Kossounou
Atalanta · Serie A
Ivory Coast25yContract 2029
Tkl/901.33
KP/900.11
Ball-Playing CBBall-Playing
Last 5: → Stable86% match
€22.0M
#8
I
Ismaëlo Ganiou
Lens · Ligue 1
France21yContract 2027
Tkl/902.83
KP/900.33
Ball-Playing CBBall-Playing
Last 5: → Stable86% match
€3.0M
#9
B
Benoît Badiashile
Chelsea · Premier League
France25yContract 2030
Tkl/901.33
KP/900.00
Ball-Playing CBBall-Playing
86% match
€18.0M
#10
M
Mamadou Sarr
Chelsea · Ligue 1
France20yContract 2033
Tkl/900.67
KP/900.33
Ball-Playing CBBall-Playing
Last 5: → Stable86% match
€25.0M
#11
C
Clément Akpa
Auxerre · Ligue 1
France24yContract 2028
Tkl/901.45
KP/900.09
Ball-Playing CBAerial
Last 5: ↓ Dip85% match
€8.0M
#12
N
Nathan Ngoy
LOSC Lille · Ligue 1
Belgium22yContract 2029
Tkl/901.21
KP/900.14
Ball-Playing CBAerial
Last 5: ↓ Dip86% match
€10.0M
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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 Samson Baidoo.
Ask AI about Samson Baidoo →Frequently Asked Questions
Who are the best alternatives to Samson Baidoo?▼
The top alternatives to Samson Baidoo based on AI DNA playing style analysis include: Juma Bah, Loïc Badé, Antoine Mendy, Kojo Peprah Oppong, Gideon Mensah. 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 Samson Baidoo in 2026?▼
Players with a similar profile to Samson Baidoo in 2026 include Juma Bah (€7.0M), Loïc Badé (€25.0M), Antoine Mendy (€4.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Samson Baidoo play and who plays similarly?▼
Samson Baidoo plays as a Defender. Players with a comparable positional profile include Juma Bah (Sierra Leone, €7.0M); Loïc Badé (France, €25.0M); Antoine Mendy (France, €4.0M); Kojo Peprah Oppong (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.