RisingTransfers
AI DNA Similarity

Best Alternatives to Trevoh Chalobah

Players most similar to Trevoh Chalobah (Defender, €40.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Trevoh Chalobah

  1. 1.Marc Guéhi90% DNA match·Manchester City€65.0M
  2. 2.Malick Thiaw89% DNA match·Newcastle United€45.0M
  3. 3.Levi Colwill89% DNA match·Chelsea€50.0M

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

RT

Intelligence Verdict

Aerials WonTop 8%
???Bottom 22%

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 (5.7 clearances/90), meticulous in distribution (93% pass accuracy), wins the physical battle (59% duel success), heavily involved in possession (74 passes/90), central to possession (87 touches/90) and active off the ball (2.1 press score/90), contributing to defensive transitions. The three most similar players to Trevoh Chalobah by playing style are:

  • Marc Guéhi(90% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.2 clearances/90), meticulous in distribution (85% pass accuracy), wins the physical battle (64% duel success), uses long balls frequently (6.3/90) and active off the ball (2.5 press score/90), contributing to defensive transitions.
  • Malick Thiaw(89% 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.
  • Levi Colwill(89% match)A Ball-Playing CB. Statistically, he stands out as naturally left-footed, meticulous in distribution (90% pass accuracy), wins the physical battle (56% duel success), heavily involved in possession (74 passes/90), central to possession (85 touches/90) and uses long balls frequently (5.8/90).

Transfer Intelligence

Marc Guéhi delivers 90% of the same playing style, at a 62% premium over Trevoh Chalobah, with 1.55 tackles won per 90 at age 25.

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

T
Comparison Base
Trevoh Chalobah
DefenderEngland€40.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
M
Marc Guéhi
Manchester City · Premier League
England25yContract 2026
Tkl/901.55
KP/900.45
Ball-Playing CBAerial
Last 5: → Stable
vs Chalobah: €25M more expensive
90% match
€65.0M
#2
M
Malick Thiaw
Newcastle United · Premier League
Germany24yContract 2029
Tkl/901.29
KP/900.19
Ball-Playing CBAerial
Last 5: ↑ Hot
vs Chalobah: 2y younger
89% match
€45.0M
#3
L
Levi Colwill
Chelsea · Premier League
England23yContract 2029
Tkl/901.41
KP/900.41
Ball-Playing CBBall-Playing
vs Chalobah: €10M more expensive · 3y younger
89% match
€50.0M
#4
F
Fikayo Tomori
AC Milan · Serie A
England28yContract 2027
Tkl/902.22
KP/900.00
Ball-Playing CBSmall Sample
Last 5: ↓ Dip
88% match
€20.0M
#5
W
Wesley Fofana
Chelsea · Premier League
France25yContract 2029
Tkl/901.08
KP/900.17
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
87% match
€28.0M
#6
T
Tosin Adarabioyo
Chelsea · Premier League
England28yContract 2028
Tkl/901.94
KP/900.11
Ball-Playing CBBall-Playing
Last 5: → Stable
87% match
€20.0M
#7
J
Joachim Andersen
Fulham · Premier League
Denmark29yContract 2029
Tkl/901.41
KP/900.22
Ball-Playing CBBall-Playing
Last 5: → Stable
86% match
€25.0M
#8
J
Jaka Bijol
Leeds United · Premier League
Slovenia27yContract 2030
Tkl/901.30
KP/900.36
Ball-Playing CBAerial
Last 5: ↓ Dip
86% match
€18.0M
#9
B
Benoît Badiashile
Chelsea · Premier League
France25yContract 2030
Tkl/901.33
KP/900.00
Ball-Playing CBBall-Playing
86% match
€18.0M
#10
J
James Tarkowski
Everton · Premier League
England33yContract 2026
Tkl/901.31
KP/900.51
Physical StopperAerial
Last 5: → Stable
85% match
€7.0M
#11
W
William Saliba
Arsenal · Premier League
France25yContract 2027
Tkl/901.28
KP/900.36
Ball-Playing CBBall-Playing
Last 5: → Stable
85% match
€90.0M
#12
I
Ibrahima Konaté
Liverpool · Premier League
France26yContract 2026
Tkl/901.60
KP/900.22
Ball-Playing CBBall-Playing
Last 5: → Stable
85% match
€50.0M

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 Trevoh Chalobah.

Ask AI about Trevoh Chalobah

Frequently Asked Questions

Who are the best alternatives to Trevoh Chalobah?
The top alternatives to Trevoh Chalobah based on AI DNA playing style analysis include: Marc Guéhi, Malick Thiaw, Levi Colwill, Fikayo Tomori, Wesley Fofana. 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 Trevoh Chalobah in 2026?
Players with a similar profile to Trevoh Chalobah in 2026 include Marc Guéhi (€65.0M), Malick Thiaw (€45.0M), Levi Colwill (€50.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Trevoh Chalobah play and who plays similarly?
Trevoh Chalobah plays as a Defender. Players with a comparable positional profile include Marc Guéhi (England, €65.0M); Malick Thiaw (Germany, €45.0M); Levi Colwill (England, €50.0M); Fikayo Tomori (England, €20.0M).
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.