RisingTransfers
AI DNA Similarity

Best Alternatives to Ben Cabango

Players most similar to Ben Cabango (Defender, €9.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Ben Cabango

  1. 1.Emmanuel Agbadou85% DNA match·Beşiktaş€18.0M
  2. 2.Joe Rodon84% DNA match·Leeds United€12.0M
  3. 3.Malick Thiaw84% DNA match·Newcastle United€45.0M

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

RT

Intelligence Verdict

Aerials WonTop 19%
???Bottom 16%

A Ball-Playing CB....

See Full Verdict + Share Card →

Playing Style Analysis

Ball-Playing CBBall-PlayingAerial

A Ball-Playing CB. Statistically, he stands out as commanding in the air (7.0 clearances/90), wins the physical battle (61% duel success), heavily involved in possession (65 passes/90), central to possession (80 touches/90), strong in aerial duels (3.5 aerials won/90) and uses long balls frequently (9.0/90). The three most similar players to Ben Cabango by playing style are:

  • Emmanuel Agbadou(85% 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.
  • Joe Rodon(84% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.7 clearances/90), meticulous in distribution (88% pass accuracy) and wins the physical battle (57% duel success).
  • Malick Thiaw(84% match)Thiaw has quietly become one of the Premier League's most complete defensive profiles — a towering centre-back who doesn't just win his battles, he wins them cleanly. His aerial win rate of 65.1% and duel success of 64.2% both sit in the league's top 20%, but the counterintuitive story is his attacking output: 0.16 goals per 90 and 0.98 shots per 90 place him in the top 10% among defenders, suggesting a genuine threat from set-pieces that opponents routinely underestimate. His pass accuracy of 90.6% reflects a ball-player comfortable in possession-heavy systems, and his above-average delivery into the final third adds genuine build-up value.

Transfer Intelligence

Emmanuel Agbadou delivers 85% of the same playing style, at a 100% premium over Ben Cabango, with 2.62 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 →

B
Comparison Base
Ben Cabango
DefenderWales€9.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
E
Emmanuel Agbadou
Beşiktaş · Premier League
Ivory Coast28yContract 2029
Tkl/902.62
KP/900.33
Ball-Playing CBAerial
Last 5: → Stable
vs Cabango: €9M more expensive · 3y older
85% match
€18.0M
#2
J
Joe Rodon
Leeds United · Premier League
Wales28yContract 2028
Tkl/901.14
KP/900.26
Ball-Playing CBAerial
Last 5: → Stable
vs Cabango: 3y older
84% match
€12.0M
#3
M
Malick Thiaw
Newcastle United · Premier League
Germany24yContract 2029
Tkl/901.29
KP/900.19
Ball-Playing CBAerial
Last 5: ↑ Hot
vs Cabango: €36M more expensive
84% match
€45.0M
#4
J
Jan Paul van Hecke
Brighton & Hove Albion · Premier League
Netherlands25yContract 2027
Tkl/901.54
KP/900.36
Ball-Playing CBBall-Playing
Last 5: → Stable
84% match
€35.0M
#5
J
Jaka Bijol
Leeds United · Premier League
Slovenia27yContract 2030
Tkl/901.30
KP/900.36
Ball-Playing CBAerial
Last 5: ↓ Dip
83% match
€18.0M
#6
C
Calvin Bassey
Fulham · Premier League
Nigeria26yContract 2027
Tkl/902.22
KP/900.34
Ball-Playing CBBall-Playing
Last 5: → Stable
83% match
€28.0M
#7
T
Trevoh Chalobah
Chelsea · Premier League
England26yContract 2028
Tkl/901.15
KP/900.16
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
83% match
€40.0M
#8
M
Marc Guéhi
Manchester City · Premier League
England25yContract 2026
Tkl/901.55
KP/900.45
Ball-Playing CBAerial
Last 5: → Stable
83% match
€65.0M
#9
K
Kevin Danso
Tottenham Hotspur · Premier League
Austria27yContract 2030
Tkl/901.84
KP/900.20
Ball-Playing CBBall-Playing
Last 5: → Stable
84% match
€22.0M
#10
M
Matheus Nunes
Manchester City · Premier League
Portugal27yContract 2028
Tkl/901.89
KP/900.93
Active Full-BackBall-Playing
Last 5: → Stable
83% match
€45.0M
#11
S
Sepp van den Berg
Brentford · Premier League
Netherlands24yContract 2029
Tkl/900.64
KP/900.20
Ball-Playing CBAerial
Last 5: → Stable
83% match
€28.0M
#12
B
Bashir Humphreys
Burnley · Premier League
England23y
Tkl/901.64
KP/900.55
Ball-Playing CBAerial
Last 5: ↓ Dip
83% match
€12.0M

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 Ben Cabango.

Ask AI about Ben Cabango

Frequently Asked Questions

Who are the best alternatives to Ben Cabango?
The top alternatives to Ben Cabango based on AI DNA playing style analysis include: Emmanuel Agbadou, Joe Rodon, Malick Thiaw, Jan Paul van Hecke, 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 Ben Cabango in 2026?
Players with a similar profile to Ben Cabango in 2026 include Emmanuel Agbadou (€18.0M), Joe Rodon (€12.0M), Malick Thiaw (€45.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Ben Cabango play and who plays similarly?
Ben Cabango plays as a Defender. Players with a comparable positional profile include Emmanuel Agbadou (Ivory Coast, €18.0M); Joe Rodon (Wales, €12.0M); Malick Thiaw (Germany, €45.0M); Jan Paul van Hecke (Netherlands, €35.0M).
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.