RisingTransfers
AI DNA Similarity

Best Alternatives to Bruno Martins Indi

Players most similar to Bruno Martins Indi (Defender, €7.7M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Bruno Martins Indi

  1. 1.Bram Nuytinck85% DNA match·NEC Nijmegen€3.0M
  2. 2.Wouter Goes84% DNA match·AZ€12.0M
  3. 3.Anel Ahmedhodzic84% DNA match·Feyenoord€12.0M

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

RT

Intelligence Verdict

Dribbled PastTop 5%
???Bottom 3%

A Ball-Playing CB....

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Playing Style Analysis

Ball-Playing CBBall-PlayingAerial

A Ball-Playing CB. Statistically, he stands out as commanding in the air (6.6 clearances/90), meticulous in distribution (90% pass accuracy), wins the physical battle (62% duel success), uses long balls frequently (6.3/90) and active off the ball (2.1 press score/90), contributing to defensive transitions. The three most similar players to Bruno Martins Indi by playing style are:

  • Bram Nuytinck(85% match)Nuytinck is the quintessential Eredivisie "old head" whose value lies in the safety of his distribution rather than the dynamism of his defending. While he lacks the mobility of modern elite center-backs, his 89.7% pass accuracy puts him in the top 30% of the league, marking him as a reliable metronome for a Tier C side looking to build from the back without risk. Counterintuitively, despite his reputation as a physical presence, his 52.6% duel win rate is merely average, suggesting he relies more on positioning than raw power to survive.
  • Wouter Goes(84% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (4.2 clearances/90), meticulous in distribution (89% pass accuracy), wins the physical battle (64% duel success), heavily involved in possession (63 passes/90), penetrates with forward passing (8.7 final-third passes/90), central to possession (76 touches/90), uses long balls frequently (7.2/90) and active off the ball (2.4 press score/90), contributing to defensive transitions.
  • Anel Ahmedhodzic(84% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.0 clearances/90), reads the game exceptionally (1.6 interceptions/90), meticulous in distribution (91% pass accuracy), wins the physical battle (60% duel success), central to possession (72 touches/90) and active off the ball (2.3 press score/90), contributing to defensive transitions.

Transfer Intelligence

Bram Nuytinck delivers 85% of the same playing style, at 61% lower cost (€3.0M vs €7.7M), with 1.08 tackles won per 90 at age 36.

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

B
Comparison Base
Bruno Martins Indi
DefenderNetherlands€7.7M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
B
Bram Nuytinck
NEC Nijmegen · Eredivisie
Netherlands36y
Tkl/901.08
KP/900.00
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Indi: 2y older
85% match
€3.0M
#2
W
Wouter Goes
AZ · Eredivisie
Netherlands21yContract 2028
Tkl/901.25
KP/900.34
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
vs Indi: 13y younger
84% match
€12.0M
#3
A
Anel Ahmedhodzic
Feyenoord · Eredivisie
Bosnia and Herzegovina27yContract 2029
Tkl/901.10
KP/900.53
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Indi: 7y younger
84% match
€12.0M
#4
T
Tsuyoshi Watanabe
Feyenoord · Eredivisie
Japan29yContract 2029
Tkl/901.16
KP/900.44
Ball-Playing CBBall-Playing
Last 5: → Stable
83% match
€10.0M
#5
C
Calvin Verdonk
LOSC Lille · Ligue 1
Netherlands29yContract 2028
Tkl/903.05
KP/901.22
Active Full-BackBall-Playing
Last 5: ↓ Dip
84% match
€3.0M
#6
K
Ko Itakura
Ajax · Eredivisie
Japan29yContract 2029
Tkl/901.15
KP/900.14
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
83% match
€10.0M
#7
A
Arnau Martínez
Girona · La Liga
Spain23yContract 2027
Tkl/902.47
KP/900.62
Active Full-BackAerial
Last 5: → Stable
83% match
€10.0M
#8
V
Virgil van Dijk
Liverpool · Premier League
Netherlands34yContract 2027
Tkl/900.61
KP/900.31
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
83% match
€18.0M
#9
L
Lisandro Martínez
Manchester United · Premier League
Argentina28yContract 2027
Tkl/901.37
KP/900.34
Ball-Playing CBBall-Playing
83% match
€35.0M
#10
Y
Youri Baas
Ajax · Eredivisie
Netherlands23yContract 2028
Tkl/901.79
KP/900.30
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
83% match
€16.0M
#11
J
José Fonte
Casa Pia · Liga Portugal
Portugal42y
Tkl/900.75
KP/900.19
Physical StopperAerial
82% match
€5.6M
#12
J
Jay Idzes
Sassuolo · Serie A
Netherlands25yContract 2029
Tkl/900.86
KP/900.10
Ball-Playing CBAerial
Last 5: ↓ Dip
82% match
€10.0M

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 Bruno Martins Indi.

Ask AI about Bruno Martins Indi

Frequently Asked Questions

Who are the best alternatives to Bruno Martins Indi?
The top alternatives to Bruno Martins Indi based on AI DNA playing style analysis include: Bram Nuytinck, Wouter Goes, Anel Ahmedhodzic, Tsuyoshi Watanabe, Calvin Verdonk. 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 Bruno Martins Indi in 2026?
Players with a similar profile to Bruno Martins Indi in 2026 include Bram Nuytinck (€3.0M), Wouter Goes (€12.0M), Anel Ahmedhodzic (€12.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Bruno Martins Indi play and who plays similarly?
Bruno Martins Indi plays as a Defender. Players with a comparable positional profile include Bram Nuytinck (Netherlands, €3.0M); Wouter Goes (Netherlands, €12.0M); Anel Ahmedhodzic (Bosnia and Herzegovina, €12.0M); Tsuyoshi Watanabe (Japan, €10.0M).
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.