RisingTransfers
AI DNA Similarity

Best Alternatives to Maxence Lacroix

Players most similar to Maxence Lacroix (Defender, €35.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Maxence Lacroix

  1. 1.Pascal Struijk86% DNA match·Leeds United€22.0M
  2. 2.Ladislav Krejci86% DNA match·Wolverhampton Wanderers€22.0M
  3. 3.Malick Thiaw86% 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 3%
???Bottom 12%

A Ball-Playing CB....

See Full Verdict + Share Card →

Playing Style Analysis

Ball-Playing CBAerial

A Ball-Playing CB. Statistically, he stands out as commanding in the air (7.3 clearances/90), meticulous in distribution (88% pass accuracy), wins the physical battle (60% duel success), strong in aerial duels (3.5 aerials won/90) and uses long balls frequently (5.0/90). The three most similar players to Maxence Lacroix by playing style are:

  • Pascal Struijk(86% match)A Ball-Playing CB. Statistically, he stands out as naturally left-footed, commanding in the air (6.5 clearances/90), meticulous in distribution (88% pass accuracy), wins the physical battle (56% duel success), central to possession (71 touches/90) and strong in aerial duels (3.4 aerials won/90).
  • Ladislav Krejci(86% match)A Ball-Playing CB. Statistically, he stands out as naturally left-footed, commanding in the air (4.4 clearances/90) and uses long balls frequently (7.7/90).
  • Malick Thiaw(86% 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

Pascal Struijk delivers 86% of the same playing style, at 37% lower cost (€22.0M vs €35.0M), with 1.17 tackles won per 90 at age 26.

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

M
Comparison Base
Maxence Lacroix
DefenderFrance€35.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
P
Pascal Struijk
Leeds United · Premier League
Netherlands26yContract 2027
Tkl/901.17
KP/900.38
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Lacroix: €13M cheaper
86% match
€22.0M
#2
L
Ladislav Krejci
Wolverhampton Wanderers · Premier League
Czech Republic27yContract 2026
Tkl/901.10
KP/900.33
Ball-Playing CBAerial
Last 5: ↑ Hot
vs Lacroix: €13M cheaper
86% match
€22.0M
#3
M
Malick Thiaw
Newcastle United · Premier League
Germany24yContract 2029
Tkl/901.29
KP/900.19
Ball-Playing CBAerial
Last 5: ↑ Hot
vs Lacroix: €10M more expensive · 2y younger
86% match
€45.0M
#4
E
Emmanuel Agbadou
Beşiktaş · Premier League
Ivory Coast28yContract 2029
Tkl/902.62
KP/900.33
Ball-Playing CBAerial
Last 5: → Stable
86% match
€18.0M
#5
K
Kevin Danso
Tottenham Hotspur · Premier League
Austria27yContract 2030
Tkl/901.84
KP/900.20
Ball-Playing CBBall-Playing
Last 5: → Stable
86% match
€22.0M
#6
M
Marcos Senesi
AFC Bournemouth · Premier League
Argentina29yContract 2026
Tkl/901.71
KP/900.69
Ball-Playing CBBall-Playing
Last 5: → Stable
85% match
€22.0M
#7
K
Kristoffer Ajer
Brentford · Premier League
Norway28yContract 2028
Tkl/901.87
KP/900.26
Physical StopperAerial
Last 5: ↓ Dip
85% match
€18.0M
#8
N
Nikola Milenković
Nottingham Forest · Premier League
Serbia28yContract 2029
Tkl/900.87
KP/900.03
Ball-Playing CBAerial
Last 5: ↑ Hot
85% match
€30.0M
#9
S
Sepp van den Berg
Brentford · Premier League
Netherlands24yContract 2029
Tkl/900.64
KP/900.20
Ball-Playing CBAerial
Last 5: → Stable
85% match
€28.0M
#10
J
Jordan Beyer
Burnley · Premier League
Germany25yContract 2027
Tkl/902.10
KP/900.16
Ball-Playing CBBall-Playing
85% match
€15.0M
#11
M
Marc Guéhi
Manchester City · Premier League
England25yContract 2026
Tkl/901.55
KP/900.45
Ball-Playing CBAerial
Last 5: → Stable
85% match
€65.0M
#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 Maxence Lacroix.

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Frequently Asked Questions

Who are the best alternatives to Maxence Lacroix?
The top alternatives to Maxence Lacroix based on AI DNA playing style analysis include: Pascal Struijk, Ladislav Krejci, Malick Thiaw, Emmanuel Agbadou, Kevin Danso. 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 Maxence Lacroix in 2026?
Players with a similar profile to Maxence Lacroix in 2026 include Pascal Struijk (€22.0M), Ladislav Krejci (€22.0M), 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 Maxence Lacroix play and who plays similarly?
Maxence Lacroix plays as a Defender. Players with a comparable positional profile include Pascal Struijk (Netherlands, €22.0M); Ladislav Krejci (Czech Republic, €22.0M); Malick Thiaw (Germany, €45.0M); Emmanuel Agbadou (Ivory Coast, €18.0M).
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.